This chapter contains sections titled: Scientific Reasons Motivated by Morality? The Science of Religion Notes.

In lieu of an abstract, here is a brief excerpt of the content:Folk Psychology and the Psychological Background of Scientific ReasoningHarald Walach (bio)Keywordstheory of psychology, theory of science, psychology of science, mind-body problem, folk psychology, scientific world viewSome protagonists of science who are still married to a positivist model of how science functions see science as the pure pursuit of knowledge, free of any preconceptions, free of any personal interest, yielding clear and ideally everlasting truths beckoning humanity over (...) from a superstition ridden dark age of beliefs and would-be knowledge toward the dawn of rational insights that allow for the bettering of mankind’s problems. Scientists have followed such an implicit model since Francis Bacon’s Novum Organon, and the most recent reverberations we hear in popular science books like The God Delusion by Dawkins (2006) or in more scientific ones on how an eliminative materialist account of mental events such as Patricia Churchland’s might work (Churchland 1986). Here, it is explicitly stated that our folk-psychological accounts such as “I love Emma,” or “I have a nasty back ache” is nothing but sloppy speaking and will soon be replaced by a more scientific account, once we know the interior workings of our brains, such as “Neuron assembly xyz in my nucleus abc in brain areas efg is firing” or “Fast A1 fibers are transmitting stimuli from my lumbar region to the brain, where they override endorphin- and enkephalin-mediated inhibiting pathways, enabling the pain network to go crazy.” It has been more than twenty years now since the publication of that somewhat futuristic account, and a whole decade of the brain and countless papers have taught us that we are very far, in fact light years away, from such knowledge as eliminative and even less eliminative materialists would have us gained by now, or in another twenty years from now.Folk psychology is well and alive, and even more vital than ever, it seems. People go about having their beliefs and ideas about God, the mind, the soul, the world, and human beings in general just as well, eliminative materialists and neuroscience notwithstanding. The data presented by Fahrenberg speak a clear language: Students of different disciplines, but most prominently psychology students, adhere mostly to a dualist—ontological or methodological—world view that allows for some substantiality of consciousness. They suppose that some transcendent reality is active and about, they assume that paranormal events such as spiritual and distant healing can [End Page 209] happen, that telepathy is an option, to name but the more prominent statements to be gleaned by Fahrenberg’s tables.Sure, these are students at the beginning of their career, as they come from school, some of them in their second year, some of them mature after having done some other training. They have had contact with the scientific world view mostly through their schooling and private reading, and, of course, through our folk culture. It would be extremely interesting to see a longitudinal study, surveying the same students after four years of studies. Will they then be more conformist with the mainstream scientific notion? Will they then have changed their initial belief systems? Will they have integrated and absorbed the knowledge they were taught into their private lives and worldviews, or will they have kept them apart from each other? We do not have the answer to these questions, and surely, a next step would be to follow a cohort of students, albeit small, through their journey as they progress.Meanwhile, we can all take ourselves as an example to follow this thought along as a gedan-kenexperiment. Did we allow the knowledge we absorbed from studying to permeate our whole private life? How did we deal with any cognitive dissonance arising from information coming out of our studies conflicting with our private belief systems? Did we throw away our personal beliefs or did we organize our lives in two compartments, one for our private life, and one for our scientific knowledge?Fahrenberg’s data are unique in the sense that nobody bothers about folk psychology, and these data are the only ones that actually tap into the belief systems of those that will become scientists, teachers, therapists and trainers... (shrink)

The traditional vision of the role science should play in policy making is of a two stage process of scientists first finding out the facts, and then policy makers making a decision about what to do about them. We argue that this two stage process is a fiction and that a distinction must be drawn between pure science and science in the service of public policy. When science is transferred into the policy realm, its claims to truth get undermined because (...) we must abandon the open-ended nature of scientific inquiry. When we move from the sphere of science to the sphere of policy, we pick an arbitrary point in the open-ended scientific process, and ask our experts to give us the answer. The choice of the endpoint, however, must always be arbitrary and determined by non-scientific factors. Thus, the two stages in the model of first finding the facts, and then making a decision about what to do, cannot be clearly separated. The second stage clearly affects the first. This conclusion will have implications about existing scientific policy institutions. For example, we advocate that the environmental assessment process be radically overhauled, or perhaps even let go. It will be our position that ultimately a better model for the involvement of scientists in public policy debates is that of being participants in particular interest groups, rather than as supposedly unbiased consultants to decision-makers. (shrink)

The use of language models in Web applications and other areas of computing and business have grown significantly over the last five years. One reason for this growth is the improvement in performance of language models on a number of benchmarks — but a side effect of these advances has been the adoption of a “bigger is always better” paradigm when it comes to the size of training, testing, and challenge datasets. Drawing on previous criticisms of this paradigm as (...) applied to large training datasets crawled from pre-existing text on the Web, we extend the critique to challenge datasets custom-created by crowdworkers. We present several sets of criticisms, where ethical and scientific issues in language model research reinforce each other: labour injustices in crowdwork, dataset quality and inscrutability, inequities in the research community, and centralized corporate control of the technology. We also present a new type of tool for researchers to use in examining large datasets when evaluating them for quality. (shrink)

The thesis of underdetermination of theory by evidence has led to an opposition between realism and relationism in philosophy of science. Various forms of the thesis are examined, and it is concluded that it is true in at least a weak form that brings realism into doubt. Realists therefore need, among other things, a theory of degrees of confirmation to support rational theory choice. Recent such theories due to Glymour and Friedman are examined, and it is argued that their criterion (...) of "unification" for good theories is better formulated in Bayesian terms. Bayesian confirmation does, however, have consequences that tell against realism. It is concluded that the prospects are dim for scientific realism as usually understood. (shrink)

Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger role in our lives demands that robots be endowed with moral reasoning capabilities. Robots endowed in this way may be referred to as artificial moral agents. Reasons often given for developing AMAs are: the prevention of harm, the necessity for public trust, the prevention of immoral use, such machines are better moral (...) reasoners than humans, and building these machines would lead to a better understanding of human morality. Although some scholars have challenged the very initiative to develop AMAs, what is currently missing from the debate is a closer examination of the reasons offered by machine ethicists to justify the development of AMAs. This closer examination is especially needed because of the amount of funding currently being allocated to the development of AMAs coupled with the amount of attention researchers and industry leaders receive in the media for their efforts in this direction. The stakes in this debate are high because moral robots would make demands on society; answers to a host of pending questions about what counts as an AMA and whether they are morally responsible for their behavior or not. This paper shifts the burden of proof back to the machine ethicists demanding that they give good reasons to build AMAs. The paper argues that until this is done, the development of commercially available AMAs should not proceed further. (shrink)

There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main concepts and methods of scientific reasoning. (...) With the help of an array of contemporary and historical examples, definitions, visual aids, and exercises for active learning, the textbook helps to increase students’ scientific literacy. The first part of the book covers the definitive features of science: naturalism, experimentation, modeling, and the merits and shortcomings of both activities. The second part covers the main forms of inference in science: deductive, inductive, abductive, probabilistic, statistical, and causal. The book concludes with a discussion of explanation, theorizing and theory-change, and the relationship between science and society. The textbook is designed to be adaptable to a wide variety of different kinds of courses. In any of these different uses, the book helps students better navigate our scientific, 21st-century world, and it lays the foundation for more advanced undergraduate coursework in a wide variety of liberal arts and science courses. Selling Points Helps students develop scientific literacy—an essential aspect of _any_ undergraduate education in the 21 st century, including a broad understanding of scientific reasoning, methods, and concepts Written for all beginning college students: preparing science majors for more focused work in particular science; introducing the humanities’ investigations of science; and helping non-science majors become more sophisticated consumers of scientific information Provides an abundance of both contemporary and historical examples Covers reasoning strategies and norms applicable in all fields of physical, life, and social sciences, _as well as_ strategies and norms distinctive of specific sciences Includes visual aids to clarify and illustrate ideas Provides text boxes with related topics and helpful definitions of key terms, and includes a final Glossary with all key terms Includes Exercises for Active Learning at the end of each chapter, which will ensure full student engagement and mastery of the information include earlier in the chapter Provides annotated ‘For Further Reading’ sections at the end of each chapter, guiding students to the best primary and secondary sources available Offers a Companion Website, with: For Students: direct links to many of the primary sources discussed in the text, student self-check assessments, a bank of exam questions, and ideas for extended out-of-class projects For Instructors: a password-protected Teacher’s Manual, which provides student exam questions with answers, extensive lecture notes, classroom-ready Power Point presentations, and sample syllabi Extensive Curricular Development materials, helping any instructor who needs to create a Scientific Reasoning Course, ex nihilo. (shrink)

I. The argument from design or ‘teleological argument’ purports to be an inductive proof for the existence of God, proceeding from the evidence of the order exhibited by natural phenomena to the probable conclusion of a rational agent responsible for producing that order. The argument was severely criticized by David Hume in his Dialogues Concerning Natural Religion , and it was widely conceded that Hume's objections had cast serious doubt on the adequacy of the teleological argument, if not (...) destroyed its credibility entirely. However, there has been a recent reappraisal of this claim by R. G. Swinburne, who maintains that none of Hume's criticisms have any validity against a ‘carefully articulated version of the argument’. Using an analogical argument based on temporal regularities rather than on spatial regularities , Swinburne claims to have shown that the teleological argument is a legitimate inference to the best explanation whose force depends only on the strength of the analogy and on the degree to which the resulting theory makes explanation of empirical matters simpler and more coherent. Moreover, he claims to have shown that the argument provides support for the Christian monotheistic hypothesis and not merely for the weak claim that the universe was designed . This is an important claim since it has long been thought that Hume's most devastating blow was dealt when he showed that the teleological argument provides just as much support for the negation of certain propositions considered essential to Christian monotheism as it does for their affirmation. (shrink)

Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger role in our lives demands that robots be endowed with moral reasoning capabilities. Robots endowed in this way may be referred to as artificial moral agents. Reasons often given for developing AMAs are: the prevention of harm, the necessity for public trust, the prevention of immoral use, such machines are better moral (...) reasoners than humans, and building these machines would lead to a better understanding of human morality. Although some scholars have challenged the very initiative to develop AMAs, what is currently missing from the debate is a closer examination of the reasons offered by machine ethicists to justify the development of AMAs. This closer examination is especially needed because of the amount of funding currently being allocated to the development of AMAs coupled with the amount of attention researchers and industry leaders receive in the media for their efforts in this direction. The stakes in this debate are high because moral robots would make demands on society; answers to a host of pending questions about what counts as an AMA and whether they are morally responsible for their behavior or not. This paper shifts the burden of proof back to the machine ethicists demanding that they give good reasons to build AMAs. The paper argues that until this is done, the development of commercially available AMAs should not proceed further. (shrink)

Scientific literacy is an essential aspect of an undergraduate education. Recipes for Science responds to this need by providing an accessible introduction to the nature of science and scientific methods appropriate for any beginning college student. The book is adaptable to a wide variety of different courses, such as introductions to scientific reasoning, methods courses in scientific disciplines, science education, and philosophy of science. -/- Recipes for Science ​​was first published in 2018, and a thoroughly revised (...) second edition was published in 2024. Special features include contemporary and historical case studies from many fields of physical, life, and social sciences; visual aids to clarify and illustrate ideas; text boxes to explore related topics; plenty of exercises to support student recall and application of concepts; suggestions for further readings at the end of each chapter; a glossary with helpful definitions of key terms; and a companion website with course syllabi, PowerPoint presentations, additional exercises, and original short videos on key topics. (shrink)

An intuitive view is that creativity involves bringing together what is already known and familiar in a way that produces something new. In cognitive science, this intuition is typically formalized in terms of computational processes that combine or associate internally represented information. From this computationalist perspective, it is hard to imagine how non-representational approaches in embodied cognitive science could shed light on creativity, especially when it comes to abstract conceptual reasoning of the kind scientists so often engage in. The (...) present article offers an entry point to addressing this challenge. The scientific project of embodied cognitive science is a continuation of work in the functionalist tradition in psychology developed over a century ago by William James and John Dewey, among others. The focus here is on how functionalist views on the nature of mind, thought, and experience offer an alternative starting point for cognitive science in general, and for the cognitive science of scientific creativity in particular. The result may seem paradoxical. On the one hand, the article claims that the functionalist conceptual framework motivates rejecting mainstream cognitive views of creativity as the combination or association of ideas. On the other hand, however, the strategy adopted here—namely, revisiting ideas from functionalist psychology to inform current scientific theorizing—can itself be described as a process of arriving at new, creative ideas from combinations of old ones. As is shown here, a proper understanding of cognition in light of the functionalist tradition resolves the seeming tension between these two claims. (shrink)

About three decades ago, the late Ronald Giere introduced a new framework for teaching scientific reasoning to science students. Giere’s framework presents a model-based alternative to the traditional statement approach—in which scientific inferences are reconstructed as explicit arguments, composed of (single-sentence) premises and a conclusion. Subsequent research in science education has shown that model-based approaches are particularly effective in teaching science students how to understand and evaluate scientific reasoning. One limitation of Giere’s framework, however, is that it (...) covers only one type of scientific reasoning, namely the reasoning deployed in hypothesis-driven research practices. In this paper, we describe an extension of the framework. More specifically, we develop an additional model-based scheme that captures reasoning in application-oriented practices (which are very well represented in contemporary science). Our own teaching experience suggests that this extended framework is able to engage a wider audience than Giere’s original. With an eye on going beyond such anecdotal evidence, we invite our readers to test out the framework in their own teaching. (shrink)

Scientists are seekers of truth; but where science breaks into the everyday world should they be held accountable for the outcome of their actions? The contributors to this volume believe that scientists are more than mere cogs in a machine - science, technology and politics are inseparable. Part 1 describes current scientific practice from three personal perspectives; part 2 looks at the ways in which science, society and the environment could interact given the chance; and part 3 examines (...) the more general aspects of Western science and their relevance to our relationship with the environment, society and all global issues. (shrink)

There seem to be some very good reasons for a philosopher of science to be a deductivist about scientific reasoning. Deductivism is apparently connected with a demand for clarity and definiteness in the reconstruction of scientists' reasonings. And some philosophers even think that deductivism is the way around the problem of induction. But the deductivist image is challenged by cases of actual scientific reasoning, in which hard-to-state and thus discursively ill-defined elements of thought nonetheless significantly condition what (...) practitioners accept as cogent argument. And arguably, these problem cases abound. For example, even geometry--for most of its history--was such a problem case, despite its exactness and rigor. It took a tremendous effort on the part of Hilbert and others, to make geometry fit the deductivist image. Looking to the empirical sciences, the problems seem worse. Even the most exact and rigorous of empirical sciences--mechanics--is still the kind of problem case which geometry once was. In order for the deductivist image to fit mechanics, Hilbert's sixth problem (for mechanics) would need to be solved. This is a difficult, and perhaps ultimately impossible task, in which the success so far achieved is very limited. I shall explore some consequences of this for realism as well as for deductivism. Through discussing links between non-monotonicity, skills, meaning, globality in cognition, models, scientific understanding, and the ideal of rational unification, I argue that deductivists can defend their image of scientific reasoning only by trivializing it, and that for the adequate illumination of science, insights from anti-deductivism are needed as much as those which come from deductivism. (shrink)

In the past thirty years, two fundamental issues have emerged in the philosophy of science. One concerns the appropriate attitude we should take towards scientific theories--whether we should regard them as true or merely empirically adequate, for example. The other concerns the nature of scientific theories and models and how these might best be represented. In this ambitious book, da Costa and French bring these two issues together by arguing that theories and models should be regarded as partially (...) rather than wholly true. They adopt a framework that sheds new light on issues to do with belief, theory acceptance, and the realism-antirealism debate. The new machinery of "partial structures" that they develop offers a new perspective from which to view the nature of scientific models and their heuristic development. Their conclusions will be of wide interest to philosophers and historians of science. (shrink)

It has become apparent that the debate between scientific realists and constructive empiricists has come to a stalemate. Neither view can reasonably claim to be the most rational philosophy of science, exclusively capable of making sense of all scientific activities. On one prominent analysis of the situation, whether we accept a realist or an anti-realist account of science actually seems to depend on which values we antecedently accept, rather than our commitment to “rationality” per se. Accordingly, several philosophers (...) have attempted to argue in favour of scientific realism or constructive empiricism by showing that one set of values is exclusively best, for anyone and everyone, and that the downstream choice of the philosophy of science which best serves those values is therefore best, for anyone and everyone. These efforts, however, seem to have failed. In response, I suggest that philosophers of science should suspend the effort to determine which philosophy of science is best for everyone, and instead begin investigating which philosophy of science is best for specific people, with specific values, in specific contexts. I illustrate how this might be done by briefly sketching a single case study from the history of science, which seems to show that different philosophies of science are better at motivating different forms of scientific practice. (shrink)

Feminist critiques of science show that systematic biases strongly influence what scientific communities find salient. Features of reality relevant to women, for instance, may be under-appreciated or disregarded because of bias. Many feminist analyses of values in science identify problems with salience and suggest better epistemologies. But overlooked in such analyses are important discussions about intellectual virtues and the role they play in determining salience. Intellectual virtues influence what we should find salient. They do this in part by (...) managing the emotions, which are cognitively involved in what we actually do find salient. One reason intellectual virtues do not factor more strongly in feminist epistemology is the mistaken assumption that they could not serve as explicit epistemic community standards for scientific inquiry. There are good reasons, however, to think in terms of community intellectual virtue and consequently, to advance explicit public standards of intellectual virtue for scientific research. To show how explicit public standards for intellectual virtue might improve reasoning in biased conditions, I analyze a striking oversight in several evolutionary immunological hypotheses concerning women's reproduction and sexuality. I conclude that feminist epistemology would benefit from greater consideration of intellectual virtues, particularly in connection with social epistemological insights. (shrink)

Sparkling woodsprites flutter in the forest and bioluminescent willow tendrils illuminate the strange ritual that ends Avatar. Human Jake lies head to head with his human–Na'vi hybrid avatar. Through the biological–spiritual ritual, Jake's human mind is transferred to his Na'vi body. Some viewers might see Avatar as advocating science and biotechnology as the salvation of a doomed humanity. If this view is correct, the movie would be reflecting the techno‐utopian philosophy known as transhumanism. Like transhumanism, though for different reasons, (...) Avatar views the human species as corrupted and endangered. Moreover, both transhumanism and Avatar hold out the promise of some form of transcendence or salvation for the human race. Exalting spiritualism, pantheism, and nature while sounding alarm bells about the dangers of technology and scientific materialism, Avatar ultimately endorses a positive philosophy, antithetical to transhumanism. (shrink)

Kevin Elliott and others separate two common arguments for the legitimacy of societal values in scientific reasoning as the gap and the error arguments. This article poses two questions: How are these two arguments related, and what can we learn from their interrelation? I contend that we can better understand the error argument as nested within the gap because the error is a limited case of the gap with narrower features. Furthermore, this nestedness provides philosophers with conceptual (...) tools for analyzing more robustly how values pervade science. (shrink)

"Evidence of a flight from reason is as old as human record-keeping: the fact of it certainly goes back an even longer way. Flight from science specifically, among the forms of rational inquiry, goes back as far as science itself... But rejection of reason is now a pattern to be found in most branches of scholarship and in all the learned professions."--from the introduction In the widely acclaimed Higher Superstition: The Academic Left and Its Quarrels with Science, (...) Paul R. Gross and Norman Levitt offered a spirited response to the "science bashers," raising serious questions about the growing criticism of scientific practice from humanists and social scientists on the academic left. Now, in The Flight from Science and Reason, Gross and Levitt are joined by Martin W. Lewis to bring together a diverse and distinguished group of scholars, scientists, and experts to engage these questions from a wide variety of perspectives. The authors take on critics of science whose views range from moderate to extreme, from social constructivists to deconstructionists, from creationists and feminists to Afro-centrists. They discuss the rise of "alternative medicine" and radical environmentalism (here skewered as "ecosentimentalism"). They explain why the "uncertainty principle" does not work as a metaphor for ambiguity, and why "chaos theory" cannot be invoked without an understanding of mathematics. Throughout, they grapple with the paradox inherent in arguing with opponents who contend that reason itself, and thus logic, is suspect. Distributed for the New York Academy of Sciences. (shrink)

Inconsistent representations of the world have in fact played and should play a role in scientific inquiry. However, it would seem that logical analysis of such representations is blocked by the explosive nature of deductive inference from inconsistent premisses. "Paraconsistent logics" have been suggested as the proper way to remove this impediment and to make explication of the logic of inconsistent scientific theories possible. I argue that installing paraconsistent logic as the underlying logic for scientific inquiry (...) is neither a necessary nor a sufficient condition for giving a philosophical alternative, I suggest that identification of heuristic strategies, based on the network of confirming evidence for inconsistent proposals for reasoning from such proposals to their consistent replacements is the proper way to explicate their function in science. (shrink)

Metaphysics is a field where the positions of Kant and Mendelssohn differed significantly, from the essays for the Academy of Sciences right up to their last works. While Kant is increasingly doubtful of the objective validity of metaphysics and comes to admit only its subjective significance as a reflection of insuppressible human need, Mendelssohn continues to defend its objective validity with respect to sciences and natural theology. After reducing the valid proofs for the existence of God to (...) the ontological argument, Kant refuses this argument by means of his conception of existence as a position. Meanwhile, Mendelssohn upholds the legitimacy of such an argument and sees it as a bulwark against scepticism and Kant's paradox of the thing-in-itself. Notwithstanding these differences, they are allies in the defence of reason against visionary exaltation, as becomes apparent in the debate on spinozism between Hamann, Jacobi and Wizenmann on the one hand; and Mendelssohn on the other. The profound and pertinent dialogue between the two philosophers lasted more than 20 years and touched upon many subjects; such as the different methods in mathematics and philosophy, the philosophical meaning of intensive magnitude, the evidence, certainty and probability in metaphysics, natural theology and morals, reason, feeling and moral sense, pure religion and historical faiths, the meaning of human history. They agreed on attributing a fundamental role to freedom and on evaluating religions accordingly. Kant acknowledged the importance of M's Jerusalem for human emancipation. However; he criticised Judaism as a religion for slaves in Religion within the Boundaries of Mere Reason and so misunderstood M's affection for his own faith. They were also at variance over the progress of the human race; while Kant subscribed to the optimistic point of view and linked the efforts for human betterment to confidence in the progressive improvement of the human race even in the moral sphere, Mendelssohn rejected this evolutionary scheme and insisted upon the originality and diversity of human beings in different civilisations and times. Their differences were far from being resolved and the interest in Mendelssohn's thought during the Idealist period and later gives clear evidence of that. (shrink)

In general introduction few examples of astronomical explanations of well-known and common local physical phenomena are presented. They are meant to show that it is often much easier to explain commonly experienced phenomena by investigating the behavior of something which is very far from the observer. In main chapters of the article the transparency of interstellar and intergalactic medium as well as the mystery of diffuse interstellar bands are presented. These very important fundamental problems are – for some (...) class='Hi'>reasons – overlooked by contemporary researchers. Plausible mechanisms of sociological, psychological and methodological kinds are proposed in last chapter as a potential explanation of fading of the scientific attempts to understand the nature and to create better future for the mankind. These are ethics in science and interdisciplinary way of solving scientific problems. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:The Female in Aristotle’s Biology: Reason or RationalizationTony PreusRobert Mayhew. The Female in Aristotle’s Biology: Reason or Rationalization. Chicago: University of Chicago Press, 2004. Pp. xi +136. Cloth, $28.00.Aristotle's views on the ethical, social, and political roles of women have repeatedly drawn the attention of scholars. Often, the central focus of the discussion is Politics I.13, 1260 a13, where Aristotle says that although women have a deliberative faculty, (...) it is akuron, "without authority." A charitable (from our point of view) interpretation of that word would have him mean that women are capable of ethical and political decision-making, but fourth-century BCE Athenian social arrangements prevent their exercising that capacity outside the home. However, many readers of Aristotle suppose that he means to indicate a natural difference between men and women, some mental or moral inferiority of women. A few passages in the Politics support that interpretation (e.g., Pol. I.2, 1254 b13, 12.1259 a40), but those do not provide a "scientific" or "biological" grounding of female inferiority. That sort of thing one would expect to find in the biological works. Mayhew's monograph is an exposition of the errors and exaggerations of some of those writers, from the usually careful Martha Nussbaum to the usually unreliable Luce Iragaray.The least cautious critics of Aristotle's views on women typically fasten on his views on sexual generation; as Mayhew shows (ch. 3), such critics either claim that Aristotle believed that women contribute only a place for generation to occur, or that women contribute totally passive matter. Mayhew is able to demonstrate, rather easily, that either claim depends on total ignorance or total misunderstanding of the actual contents of the Generation of Animals. In Aristotle's opinion, the female provides proximate matter for the offspring, something that is almost able to develop into a new individual and needing only the impetus and form provided by the male contribution. Having started with the "form/matter" distinction, it is pretty obvious that the female provides the matter (a bird egg is all of the matter that goes to make the chick), and the male is necessary for reproduction to [End Page 109] occur, so it must be a source of movement (at least) and some element of form (since the offspring partially resembles its male parent) that comes from that source. (For older discussions of this issue, see my Science and Philosophy in Aristotle's Biological Works [Hildesheim, 1975], ch. 2, and J. Morsink, "Was Aristotle's Biology Sexist?" J. Hist. Biol.12 [1979]:83-112, neither noted by Mayhew). But what would be the ethical or political implications of that distinction? Aristotle says that it is "better" to provide form, but there's no straightforward way to conclude from that difference that a woman's deliberative faculty is less authoritative than a man's, any more than there is any straightforward way to argue from the fact that a woman might spend some time pregnant that a permanent pay differential is justified. And Aristotle does not try to make that sort of argument, as a matter of fact.Mayhew deals with most of the other arguments that some have derived from the biological works to support their view that Aristotle's "science" is the foundation of his (supposed) sexism. For example, he points out that although Aristotle does call "kings" the bees that we call "queens," he also calls the analogue among wasps the "mothers" or "wombs"; Mayhew says that Aristotle seems to have thought that the king/queen bee was hermaphroditic and parthenogenetic. Mayhew also has an original and interesting chapter on Aristotle's comparisons between women and eunuchs; although he notes that Aristotle was friendly with at least one eunuch, Hermeias, the uncle of Aristotle's young wife, he leaves out Aristotle's poetic praise of Hermeias (see R. Renehan, in Greek, Roman, and Byz. Stud.23 [1982]: 251-74). Suppose women were "eunuchoid" according to Aristotle, it couldn't mean that they were consequently intellectually inferior, since at least one eunuch was, in Aristotle's opinion, intellectually superior.Mayhew also discusses, adequately enough, the issues of brain... (shrink)

Teaching false theories goes against the general pedagogical and philosophical belief that we must only teach and learn what is true. In general, the goal of pedagogy is taken to be epistemic: to gain knowledge and avoid ignorance. In this article, I argue that for realists and antirealists alike, epistemological and pedagogical goals have to come apart. I argue that the falsity of a theory does not automatically make it unfit for being taught. There are several good reasons for (...) teaching false theories in school science. These are false theories can bring about genuine understanding of the world; teaching some false theories from the history of science that line up with children’s ideas can provide students “intellectual empathy” and also aid in better grasp of concepts; teaching false theories from the history of science can sharpen students’ understanding of the nature of science; scientists routinely use false theories and models in their practice and it is good sense for science education to mirror scientific practice; and learning about patently non-scientific and antiscientific ideas will prepare students to face and respond to them. In making arguments for the foregoing five points, I draw upon the work of a variety of philosophers and historians of science, cognitive scientists, science education scholars, and scientists. My goal here is not only to justify theories considered false already being taught, but also to actively endorse the teaching of some theories considered false that are by and large not currently taught. (shrink)

This paper assumes that there is a distinction between empirical and non-empirical science. It also assumes that empirical science has two complementary parts, namely, theorization and experimentation. The paper focuses strictly on the experimental aspect of science. It is a call for reformation in African experimental science. Following a deep historical understanding of the revolution that brought about experimental philosophy this paper admits that magic was the mother, not just the “bastard sister” of empirical science. It uncovers the fact that (...) magic added the dimension of experimentation to science. This paper somewhat maintains that most of the ideas presented by some African scholars contain vestiges of the magical tradition in them. Even though this might not be a flaw by any reasonable standard, the paper still argues that there is a genuine need to separate magic from science, if we ever crave for any form of material/physical progress in Africa. I insist that the thrust of the call for paradigm shift in this paper is centered basically on experimentation. The issue of theoretical entities was introduced only to the extent such entities enhance experimental realism in the practice of African science. Of course, reformation can equally take place at the level of scientific theorization, but that is strictly beyond the scope of this paper. The fact is that those who are versed on the issues of experimentation should begin to get more focused on that aspect; and those who are given to theorization should settle with the formulation of well-structured theories. Time has indeed come for us to properly streamline our thoughts and make progress in the direction of African experimental science. In making this clarion call, we adopted a combined approach of hermeneutics and analysis. Keywords : Magic, African science, experimental science, paradigm, African thought. (shrink)

In this paper, I use the evidential function of chances and counterfactuals to develop accounts of these relations. Chances are objective worldly probabilities that allow us to reason from the state of a system at one time to the state of a system at another time. Counterfactuals are used to reason about what evidence we would have in hypothetical cases—and so, I’ll argue, are evaluated by considering ‘branch points’ where the counterfactual antecedent had a reasonable chance of coming (...) about. An upshot is that counterfactuals play a distinct role from causal relations—and it was a mistake to look for a single set of probabilities that would determine both how we should reason about the world (counterfactuals) and how states of the world depend on others under conditions of manipulation (causal relations). These evidential accounts do better than nearby statistical-mechanical accounts in identifying the function of distinctly modal relations and justifying why we reason about the world in modal terms. They also do better at identifying the source of the temporal asymmetries in these relations—they are due to a probability gradient of the universe, rather than to a special initial state. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:The Female in Aristotle’s Biology: Reason or RationalizationTony PreusRobert Mayhew. The Female in Aristotle’s Biology: Reason or Rationalization. Chicago: University of Chicago Press, 2004. Pp. xi +136. Cloth, $28.00.Aristotle's views on the ethical, social, and political roles of women have repeatedly drawn the attention of scholars. Often, the central focus of the discussion is Politics I.13, 1260 a13, where Aristotle says that although women have a deliberative faculty, (...) it is akuron, "without authority." A charitable (from our point of view) interpretation of that word would have him mean that women are capable of ethical and political decision-making, but fourth-century BCE Athenian social arrangements prevent their exercising that capacity outside the home. However, many readers of Aristotle suppose that he means to indicate a natural difference between men and women, some mental or moral inferiority of women. A few passages in the Politics support that interpretation (e.g., Pol. I.2, 1254 b13, 12.1259 a40), but those do not provide a "scientific" or "biological" grounding of female inferiority. That sort of thing one would expect to find in the biological works. Mayhew's monograph is an exposition of the errors and exaggerations of some of those writers, from the usually careful Martha Nussbaum to the usually unreliable Luce Iragaray.The least cautious critics of Aristotle's views on women typically fasten on his views on sexual generation; as Mayhew shows (ch. 3), such critics either claim that Aristotle believed that women contribute only a place for generation to occur, or that women contribute totally passive matter. Mayhew is able to demonstrate, rather easily, that either claim depends on total ignorance or total misunderstanding of the actual contents of the Generation of Animals. In Aristotle's opinion, the female provides proximate matter for the offspring, something that is almost able to develop into a new individual and needing only the impetus and form provided by the male contribution. Having started with the "form/matter" distinction, it is pretty obvious that the female provides the matter (a bird egg is all of the matter that goes to make the chick), and the male is necessary for reproduction to [End Page 109] occur, so it must be a source of movement (at least) and some element of form (since the offspring partially resembles its male parent) that comes from that source. (For older discussions of this issue, see my Science and Philosophy in Aristotle's Biological Works [Hildesheim, 1975], ch. 2, and J. Morsink, "Was Aristotle's Biology Sexist?" J. Hist. Biol.12 [1979]:83-112, neither noted by Mayhew). But what would be the ethical or political implications of that distinction? Aristotle says that it is "better" to provide form, but there's no straightforward way to conclude from that difference that a woman's deliberative faculty is less authoritative than a man's, any more than there is any straightforward way to argue from the fact that a woman might spend some time pregnant that a permanent pay differential is justified. And Aristotle does not try to make that sort of argument, as a matter of fact.Mayhew deals with most of the other arguments that some have derived from the biological works to support their view that Aristotle's "science" is the foundation of his (supposed) sexism. For example, he points out that although Aristotle does call "kings" the bees that we call "queens," he also calls the analogue among wasps the "mothers" or "wombs"; Mayhew says that Aristotle seems to have thought that the king/queen bee was hermaphroditic and parthenogenetic. Mayhew also has an original and interesting chapter on Aristotle's comparisons between women and eunuchs; although he notes that Aristotle was friendly with at least one eunuch, Hermeias, the uncle of Aristotle's young wife, he leaves out Aristotle's poetic praise of Hermeias (see R. Renehan, in Greek, Roman, and Byz. Stud.23 [1982]: 251-74). Suppose women were "eunuchoid" according to Aristotle, it couldn't mean that they were consequently intellectually inferior, since at least one eunuch was, in Aristotle's opinion, intellectually superior.Mayhew also discusses, adequately enough, the issues of brain... (shrink)

From Galileo and Newton to Thomas Hobbes and Martin Luther King, Jr., thinkers throughout history have consciously employed scientific techniques to better understand the non-physical world. The Age of Reason and the Enlightenment led theorists to apply scientific reasoning to the non-scientific disciplines of politics, economics, and moral philosophy. Instead of relying on the woodcuts of dissected bodies in old medical texts, physicians opened bodies themselves to see what was there; instead of divining truth through (...) the authority of an ancient holy book or philosophical treatise, people began to explore the book of nature for themselves through travel and exploration; instead of the supernatural belief in the divine right of kings, people employed a natural belief in the right of democracy. In this provocative and compelling book, Shermer will explain how abstract reasoning, rationality, empiricism, skepticism--scientific ways of thinking--have profoundly changed the way we perceive morality and, indeed, move us ever closer to a more just world. (shrink)

One of the most important issues for the ideal transmission of hadith texts and isnāds is that there is no error in the writing of these expressions. For this purpose, it is seen that the hadith scholars try to create an awareness about the mistakes in the hadiths and the names of the narrators and try to minimize the mistakes by writing works. The most important examples of this literature seems to have been given in IV. /X century. In this (...) study, the reasons for the increase in the literature of hadith taṣḥīf in the IV./X century will be tried to be analyzed periodically and regionally. When the reasons for this increase are taken into consideration, it can be stated that the main factors come to the fore as the active transmission of works in the relevant period, the development of narrator literature, the decline in the profile of the narrator in this century, and the need of the Ahl al-Hadith living in the ʿAd̲j̲am regions on the subject. It is seen that the hadith scholars’ special requests from Arabic language experts for writing works also affected the formation of taṣḥīf literature. Their display of such an attitude is also important in terms of pointing out the existence of inter-scientific communication and a self-criticism about incompetent fields. (shrink)

We study the strategic interactions within testing in a model of political agency. A principal decides between convicting and acquitting an agent of unknown innocence based on a noisy signal that is manipulable by the agent’s unobserved actions. We identify conditions under which the principal sets a threshold conviction strategy in the form of “beyond a reasonable doubt.” We show that, in spite of strategic concerns, the amount of information that a principal can glean from the test is entirely (...) determined by the threshold; in equilibrium, the threshold is set where the signal realization conveys just enough information to validate a conviction. As such, the game of testing is analytically equivalent to the principal’s statistical inference problem. We next examine how exogenous shocks on preference parameters affect the principal’s equilibrium threshold and welfare. In general, the principal benefits from being better at distinguishing types; whether she should increase or decrease the threshold depends crucially on whether the agent’s distribution of signals varies with types in the absence of manipulation. (shrink)

In this reproduction of his original publication of 1649, Rene Descartes discusses how seekers of knowledge can best attain true insight of the world around them. Often referred to as simply the Discourse on the Method, this work is frequently cited as one of the most important to appear during the Enlightenment era. It discusses the ideal means through which those in search of knowledge can approach the world, and the practice of science, as a means of attaining true and (...) definitive insight. The Discourse on Method is influential chiefly for its role in establishing the scientific method; a technique which scientists have used to make valid discoveries over the centuries. Descartes instructs the reader to doubt everything, and to use this universal doubt as a starting point from which to approach a problem. In addition to matters of science, Descartes reflects upon his own personal, religious beliefs. In addition to his Method, Descartes also explains certain social and personal notions such as obeying the laws and statutes of his country and prioritizing self-advancement over the achievement of material wealth or fortune. Famous for including the much-quoted phrase "Je pense, donc je suis" - "I think, therefore I am" - the Discourse on Method today stands as a crucial cornerstone of countless educational courses on philosophy. (shrink)

It is frequently claimed that the human mind is organized in a modular fashion, a hypothesis linked historically, though not inevitably, to the claim that many aspects of the human mind are innately specified. A specific instance of this line of thought is the proposal of an innately specified geometric module for human reorientation. From a massive modularity position, the reorientation module would be one of a large number that organized the mind. From the core knowledge position, the (...) reorientation module is one of five innate and encapsulated modules that can later be supplemented by use of human language. In this paper, we marshall five lines of evidence that cast doubt on the geometric module hypothesis, unfolded in a series of reasons: (1) Language does not play a necessary role in the integration of feature and geometric cues, although it can be helpful. (2) A model of reorientation requires flexibility to explain variable phenomena. (3) Experience matters over short and long periods. (4) Features are used for true reorientation. (5) The nature of geometric information is not as yet clearly specified. In the final section, we review recent theoretical approaches to the known reorientation phenomena. (shrink)

This book offers new insights into the nature of human rational capacities by engaging inferentialism with empirical research in the cognitive sciences. Inferentialism advocates that humans' unique kind of intelligence is discursive and rooted in competencies to make, assess and justify claims. This approach provides a rich source of valuable insights into the nature of our rational capacities, but it is underdeveloped in important respects. For example, little attempt has been made to assess inferentialism considering relevant scientific research (...) on human communication, cognition or reasoning. By engaging philosophical and scientific approaches in a productive dialogue, this book shows how we can better understand human rational capacities by comparing their respective strengths and weaknesses. In this vein, the author critically revisits and constructively develops central themes from the work of Robert Brandom and other language rationalists: the nature of the assertoric practice and its connection to reasoned discourse, the linguistic constitution of the shared space of reasons, the social nature and function of reasoning, the intersubjective roots of social-normative practices and the nature of objective thought. Practices of Reason will be of interest to scholars and advanced students working in philosophy of mind, philosophy of language and philosophy of logic. (shrink)

Detectives and scientists are in the business of reasoning from observations to explanations. This they often do by raising cunning questionsduring their inquiries. But to substantiate this claim we need to know how questions arise and how they are nurtured into more specific hypotheses. I shall discuss what the problem is, and then introduce the so-called interrogative model of inquiry which makes use of an explicit logic of questions. On this view, a discovery processes can be represented as a (...) model-based game in which an inquirer subjects a source of information to a series of strategically organized questions. Strategic principles and why-questions are especially important in heuristical reasoning. Why-questions have their own peculiar nature among questions. They indicate that the inquirer's expectations are somehow disappointed, and that is cognitively challenging. In a finished argument why-questions can be omitted, but in the search for more specific questions they are highly important. As a detetective example I shall analyze Sherlock Holmes reasoning in Silver Blace, the scientific one is A.R. Wallace's discovery of the principle of natural selection. In both of these examples the meaning of questions, especially of well-chosen why-questions, of strategic principles, and of highly structured background knowledge come to the fore. Good questions frequent those who have orderly expectations, based on experience and expertise (detectives!) or highly structured background theories (scientists!). (shrink)

Reasoning, defined as the production and evaluation of reasons, is a central process in science. The dominant view of reasoning, both in the psychology of reasoning and in the psychology of science, is of a mechanism with an asocial function: bettering the beliefs of the lone reasoner. Many observations, however, are difficult to reconcile with this view of reasoning; in particular, reasoning systematically searches for reasons that support the reasoner’s initial beliefs, and it only evaluates these reasons (...) cursorily. By contrast, reasoners are well able to evaluate others’ reasons: accepting strong arguments and rejecting weak ones. The argumentative theory of reasoning accounts for these traits of reasoning by postulating that the evolved function of reasoning is to argue: to find arguments to convince others and to change one’s mind when confronted with good arguments. Scientific reasoning, however, is often described as being at odds with such an argumentative mechanisms: scientists are supposed to reason objectively on their own, and to be pigheaded when their theories are challenged, even by good arguments. In this article, we review evidence showing that scientists, when reasoning, are subject to the same biases as are lay people while being able to change their mind when confronted with good arguments. We conclude that the argumentative theory of reasoning explains well key features of scientists’ reasoning and that differences in the way scientists and laypeople reason result from the institutional framework of science. (shrink)

Following recent debate on the relations between philosophy of science and the sciences, we wish to draw attention to some actual ways of training both young philosophers of science and young life scientists and clinicians. First, we recall a successful case of training philosophers of the life sciences in a strictly scientific environment. Second, after a brief review of the reasons why life scientists and clinicians are currently asking for more ethics, more methodology of science, and (...) more philosophy of science in the training of life scientists and clinicians, we present two training models that could spur the discussion on how to meet the requests coming from the scientific community. We argue that in order to reflect on mutual relations between philosophy of science and the sciences and to foster proper interactions, issues regarding the topics considered, the features of educational curricula, and the institutional organizations should be addressed jointly. (shrink)

A key question for evidence-based medicine is how best to model the way in which EBM should‘[integrate] individual clinical expertise and the best external evidence’. We argue that the formulations and models available in the literature today are modest variations on a common theme and face very similar problems when it comes to risk analysis, which is here understood as a decision procedure comprising a factual assessment of risk, the risk assessment, and the decision what to do based on this (...) assessment, the risk management. Both the early and updated models of evidence-based clinical decisions presented in the writings of Haynes, Devereaux and Guyatt assume that EBM consists of, among other things, evidence from clinical research together with information about patients’ values and clinical expertise. On this A-view, EBM describes all that goes on in a specific justifiable medical decision. There is, however, an alternative interpretation of EBM, the B-view, in which EBM describes just one component of the decision situation and in which, together with other types of evidence, EBM leads to a justifiable clincial decision but does not describe the decision itself. This B-view is inspired by a 100-years older version of EBM, a Swedish standard requiring medical decision-making, professional risk-taking and practice to be in accordance with‘science and proven experience’. In the paper, we outline how the Swedish concept leads to an improved understanding of the way in which scientific evidence and clinical experience can and cannot be integrated in light of EBM. How scientific evidence and clinical experience is integrated influences both the way we do risk assessment and risk management. In addition, the paper sketches the as yet unexplored historical background to VBE and EBM. (shrink)

The idea that we acquire knowledge by trial and error has been one of the truly great ideas of the twentieth century. As no reader of his philosophical and autobiographical work could have failed to notice, Karl Popper credits himself for having invented this idea. The theory of trial and error or, in Popper's words, the Searchlight theory of knowledge and mind, is not just a part of Popper's comprehensive philosophy but rather one of its key features. It is at (...) the bottom of some of his most spectacular achievements in methodology, epistemology, the philosophy of biology, and even political philosophy. Indeed, it is put forward at once as a model for the growth of individual knowledge (both human and animal), the growth of life (Darwin's theory of evolution), and the growth of scientific knowledge (philosophy of science). As happens so often with innovative ideas, the Searchlight theory derives much of its glamour from the theory it rejects: the view of the mind being a tabula rasa and sense perception the origin of all (human) knowledge. Popper nicknames this empiricists' view as the Bucket theory since it conceives of the mind as nothing but the conduit for sense-impressions, an empty bucket to be filled by the accumulation and storage of information. 1 In his hands the Bucket theory collapses under the strain of philosophical arguments and scientific facts and is replaced by a theory which maintains that our knowledge of the physical world is drawn from our mind and constructed from the repertoire of knowledge dispositions we already possess. Acquiring dispositions proceeds according to the method of trial and error elimination. This method, Popper contends, consists essentially of three stages: forming a problem or expectation, trying out a number of solutions of the problem, and eliminating or discarding false solutions as erroneous. 2 A key feature of Popper's theory of trial and error elimination, and the reason for speaking of a Searchlight theory of knowledge and mind, is his insistence that problems or expectations take precedence over observations. Observations are always preceded by expectations, points of view, questions or problems which, as a searchlight, illuminate a certain area, thereby enabling the organism or the scientist to know what to observe in the first place. -/- The question arises how and when did Popper come to this theory of the growth of knowledge and mind which was to have such radical implications for the philosophy of science, epistemology, and the philosophy of psychology? My aim in this article is to trace the roots of his theory of the Searchlight. The earliest traces of the theory are to be found in his unpublished dissertation, Zur Methodenfrage der Cognitive psychology (1928). Here I will focus upon this "hasty last minute affair" written in the tradition of early German cognitive psychology and supervised by one of its most outstanding proponents, Karl Bühler. Scrutiny of this manuscript, however, reveals not so much the formative influence of Bühler as that of Otto Selz. Indeed, I will argue that Popper borrowed his crucially important Searchlight theory from Selz. Thus having found the origin of the key notion of his epistemology in psychology, the relation between psychology and philosophy in Popper's work, always fraught with tension, is up for thorough reconsideration. (shrink)

Good chefs know the importance of maintaining sharp knives in the kitchen. What’s their secret? A well-worn Taoist allegory offers some advice. The king asks about his butcher’s impressive knifework. “Ordinary butchers,” he replied “hack their way through the animal. Thus their knife always needs sharpening. My father taught me the Taoist way. I merely lay the knife by the natural openings and let it find its own way through. Thus it never needs sharpening” (Kahn 1995, vii; see also Watson (...) 2003, 46). Plato famously employed this image as an analogy for the reality of his Forms (Phaedrus, 265e). Just like an animal, the world comes pre-divided for us. Ideally, our best theories will be those which “carve nature at its joints”. While Plato employed the “carving” metaphor to convey his views about the reality of his celebrated Forms, its most common contemporary use involves the success of science -- particularly, its success in identifying distinct kinds of things. Scientists often report discovering new kinds of things -- a new species of mammal or novel kind of fundamental particle, for example -- or uncovering more information about already familiar kinds. Moreover, we often notice considerable overlap in different approaches to classification. As Ernst Mayr put it: No naturalist would question the reality of the species he may find in his garden, whether it is a catbird, chickadee, robin, or starling. And the same is true for trees or flowering plants. Species at a given locality are almost invariably separated from each other by a distinct gap. Nothing convinced me so fully of the reality of species as the observation . . . that the Stone Age natives in the mountains of New Guinea recognize as species exactly the same entities of nature as a western scientist. (Mayr 1987, 146) Such agreement is certainly suggestive. It suggests that taxonomies are discoveries rather than mere inventions. Couple this with their utility in scientific inference and explanation and we have compelling reason for accepting the objective, independent reality of many different natural kinds of things.. (shrink)

Recent policy debates are commonly framed as questions of “sci-ence” versus “ideology”. This is seen in polemics around issues that can be informed by bio–medical or geo–physical sciences: the coronavirus pandemic and climate change. The paper explores the basis for claims of difference between science and ideology: truth versus delusion; representations of reality and the means for interpreting it; and their relation to conflicting interests. Each of these three characteristics of ideology is explored by relating them to the methods (...) of the sciences. Three questions are derived from that analysis: Does science hide premises or assumptions; or, conversely, does it proceed by unmasking hidden premises in rival scientific positions? Are the facts of science immediately interpretable, or are they embedded in a web of methodological and metaphorical operations? Are the operations of science insulated from human interests, conflicts, and ethical considerations for how one should live? These are then approached through a compressed case study of three phases of medical science: neo– Platonic herbal studies deriving from Paracelsus; the Enlightenment development of clinical medicine; and the development of immunology from the nineteenth to the twenty–first century. The concluding section draws on the case studies to answer the three questions. Each of the key elements of ideology is shown to also be involved in scientific reasoning. The development of medical science demonstrates that semiotic operations characteristic of ideology are also found in good scientific practice. In conclusion, it is proposed that science is better off for having learned from ideology. Critique is an epistemic virtue; images and metaphors enrich scientific thinking; and science will better serve humanity as its connections to the interests of all species, and to the Earth itself, are exposed. (shrink)

The central aim of science is to make sense of the world. To move forward as a community endeavor, sense-making must be systematic and focused. The question then is how do scientists actually experience the sense-making process? In this chapter we examine the “practice turn” in science studies and in particular how as a result of this turn scholars have come to realize that models are the “functional unit” of scientific thought and form the center of the reasoning/sense-making process. (...) This chapter will explore a context-dependent view of models and modeling in science. From this analysis we present a framework for delineating the different aspects of model-based reasoning and describe how this view can be useful in educational settings. This framework highlights how modeling supports and focuses scientific practice on sense-making. (shrink)

People's desire not to limit the meaning of Hancang driving force, continuous development and self-transcendence, which is people from within and beyond the root driving force. The so-called "inner beyond" is not a process of idealism, which began with the desire, from the bottom of the body, and go up on the layer by layer through the heart of the development process裡and mental flexibility, and would therefore have to enhance and transform. We regard the body as I desire (...) the presence of mode. Significance by the driving force in the body and thus close to the appearance, at first non-verbal, and then eventually completed in the language of representation. Through a variety of different non-linguistic representation, the meaning of the body of the driving force to obtain specific and differentiation, as music, art, dance, drama art form ... ... and so on. These different forms of art of common origins, is made ​​to understand the forms of physical exercise, as they are each other's differences, then is made ​​to understand the form of different, such as voice, image, attitude ... ... and so the nature and rules lawyers, and the rise because of their differences on the artistic and cultural expressions of different, and even the formation of the various arts precinct. In order to film art integrated voice, image and body movement, presented at the time of the current moving image, to the above description of the story. Different types of art is "the desire of the induced mover", which provides clear instructions and guidance In order to man the desire for meaning. The meaning of desire is the driving force of development of art in different fields to cross-border basic driving force. Story has entered into a description of the classification of the appearance of language, its basic features is metaphorical. Cross-disciplinary domain of the past will pin their hopes on the concepts and logical reasoning and arguments permit. Today, the language of metaphor for understanding the nature, making metaphor and narrative clues as cross-domain, and in the humanities, social sciences, natural sciences and even among. The reason why life events, actions and circumstances can be constructed to the story, because there I am with the interaction between multiple otherness, its impetus came from one continuous extrapolation, and extrapolation of each other. And diversity of his stories were always the people the story, and always coming to the multivariate description of those who hear him. Through stories, we witness In order to the meaning of life, but always to witness the way metaphor and description of each story to each other through mutual enrichment. Description of the future, after all, the story, no matter real or imagined, there is established based on the relationship regardless of which I was with him who have the freedom in the relationship, a relationship in freedom. It is also across the world who can not break the fundamental driving force and field-based. This paper assumes that there is an undetermined dynamic energy for meaningfulness in human desire, which develops and transcends any particular realization. This is the original energy by which human beings could attain transcendence by way of immanence, which is not an idealist process, but rather originated from a body-based desire that develops upwards and fuller to integrate the mental and the spiritual. Representability, first non-linguistic and then linguistic, is the access to meaning for our desire that takes body as its mode of existence. Through different forms of representation, such as sounds, pictures and gestures ... etc., the project of meaning is specified. The movement of body in intelligible forms is the common origin of music, dancing and performative arts. Cultural difference and artistic boundaries are based upon differences in the nature and rule of these intelligible forms. The art of filming, which synthesizes image, music and body movement in presenting images moving in time so as to tell stories of various kinds. All forms of art are "inducers of desire" by articulating, determining and guiding our desire for meaning. This dynamic development of our desire for meaning is the common basic energy by which we can cross the borders of different arts. Story-telling presupposes linguistic representation accessible to our meaning dynamism. In the past, concepts and logical reasoning and argumentation were taken to be the hope for interdisciplinary research. But now, with the better understanding we have of the metaphoric nature of language, metaphors and narratives are taken to be the clue for a cross-bordering effort in different sciences, human , social and natural. If there are events, actions and plots in human existence to be constructed as stories, it is because there is always interaction with multiple others, the dynamism of it consisting in our incessant act of strangification and mutual strangification. Stories are always stories about one self with multiple others and told to multiple others. By telling stories, we witness a particular way of meaningful life, always metaphorically interpreted. We achieve mutual enrichment by telling stories to each other. The ultimate foundation of cross-bordering in arts and scientific disciplines consists in the ontology of dynamic relation, in which there is relatedness in freedom and freedom in being related, and this is the ground on which all our life stories, both real and imaginative, are based. (shrink)

Increasingly, our cities are confronted with crises. Fuelled by climate change and a loss of biodiversity, increasing inequalities and fragmentation, challenges range from social unrest and outbursts of violence to heatwaves, torrential rainfall, or epidemics. As crises require rapid interventions that overwhelm human decision-making capacity, AI has been portrayed as a potential avenue to support or even automate decision-making. In this paper, I analyse the specific challenges of AI in urban crisis management as an example and test case for (...) many super wicked decision problems. These super wicked problems are characterised by a coincidence of great complexity and urgency. I will argue that from this combination, specific challenges arise that are only partially covered in the current guidelines and standards around trustworthy or human-centered AI. By following a decision-centric perspective, I argue that to solve urgent crisis problems, the context, capacities, and networks need to be addressed. AI for crisis response needs to follow dedicated design principles that ensure (i) human control in complex social networks, where many humans interact with AI; (ii) principled design that considers core principles of crisis response such as solidarity and humanity; (iii) designing for the most vulnerable. As such this paper is meant to inspire researchers, AI developers and practitioners in the space of AI for (urban) crisis response – and other urgent and complex problems that urban planners are confronted with. (shrink)

This paper explores the relation between scientific knowledge and common sense intuitions as a complement to Hoyningen-Huene’s account of systematicity. On one hand, Hoyningen-Huene embraces continuity between these in his characterization of scientific knowledge as an extension of everyday knowledge, distinguished by an increase in systematicity. On the other, he argues that scientific knowledge often comes to deviate from common sense as science develops. Specifically, he argues that a departure from common sense is a price (...) we may have to pay for increased systematicity. I argue that to clarify the relation between common sense and scientific reasoning, more attention to the cognitive aspects of learning and doing science is needed. As a step in this direction, I explore the potential for cross-fertilization between the discussions about conceptual change in science education and philosophy of science. Particularly, I examine debates on whether common sense intuitions facilitate or impede scientific reasoning. While contending that these debates can balance some of the assumptions made by Hoyningen-Huene, I suggest that a more contextualized version of systematicity theory could supplement cognitive analysis by clarifying important organizational aspects of science. (shrink)

As Kant claimed in the Groundwork, and as the idea has been developed by Korsgaard 1997, Bratman 1987, and Broome 2002. This formulation is agnostic on whether reasons for ends derive from our desiring those ends, or from the relation of those ends to things of independent value. However, desire-based theorists may deny, against Hubin 1999, that their theory is a combination of a principle of instrumental transmission and the principle that reasons for ends are provided (...) by desires. Instead, they may say, there is just one principle, a principle of, if you will, instrumental transmutation: if one desires the end, then one has reason to take the means. See the discussion of General Production, in section 8, for a doubt about this. (shrink)

This paper aims at integrating the work onanalogical reasoning in Cognitive Science into thelong trend of philosophical interest, in this century,in analogical reasoning as a basis for scientificmodeling. In the first part of the paper, threesimulations of analogical reasoning, proposed incognitive science, are presented: Gentner''s StructureMatching Engine, Mitchel''s and Hofstadter''s COPYCATand the Analogical Constraint Mapping Engine, proposedby Holyoak and Thagard. The differences andcontroversial points in these simulations arehighlighted in order to make explicit theirpresuppositions concerning the nature of analogicalreasoning. In the (...) last part, this debate in cognitivescience is applied to some traditional philosophicalaccounts of formal and material analogies as a basisfor scientific modeling, like Mary Hesse`s, and tomore recent ones, that already draw from the work inArtificial Intelligence, like that proposed byAronson, Harré and Way. (shrink)