In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 10.2 (2003) 161-167 [Access article in PDF] Social, Cognitive, and Neural Constraints on Subjectivity and Agency:Implications for Dissociative Identity Disorder Peter Q. Deeley In this commentary, I consider Matthew's argument after making some general observations about dissociative identity disorder (DID). In contrast to Matthew's statement that "cases of DID, although not science fiction, are extraordinary" (p. 148), I believe that there are natural (...) analogs of the disorder that, when considered, make it seem less puzzling and exotic. After discussing these examples, I examine the relations between social, cognitive, and neural processes supporting subjectivity and agency, to identify sources of personal identity in cases of DID that can be used as a basis for assessing Matthew's points against Behnke and Sinnott-Armstrong. I am not proposing a comprehensive theory, but rather identifying what I believe are components of such a theory. I then outline an approach to determining criminal responsibility in DID, drawing on analogies with other psychiatric disorders. Dissociative Identity Disorder DID is a disorder described in DSM-IV, which "is characterised by the presence of two or more distinct identities or personality states that recurrently take control of the individual's behaviour accompanied by an inability to recall important personal information that is too extensive to be explained by ordinary forgetfulness" (American Psychiatric Association, p. 519). Recognizing Personal Identity How is personal identity recognized in normal cognition? If we take personhood to involve recognition of continuity of social, psychological, and physical identity for a given individual, then such judgments are routinely made rapidly and automatically as an aspect of what has come to be termed social cognition (Adolphs 2003). There is likely to be considerable redundancy in [End Page 161] the types of information used to make judgments about whether a person is the same as one who was previously encountered, or perhaps heard about—for example, facial features, movement patterns, speech prosody, dress, speech content, gender, ethnicity, social role, among other features, all provide information about individual identity, and hence personhood. When uncertainty exists, it is likely to reflect a loss or alteration of cues that would ordinarily be used in a rapid, automatic, unexamined way (Adolphs 2003). In such extreme cases (for example, severe mental illness or disfigurement), the problem of identification becomes the subject of explicit reasoning (and hence of potential disagreement, because we then engage in post hoc rationalizations to establish criteria for determining personhood, whereas normally we rely on essentially automatic, implicit abilities that work in most circumstances, some of which make little use of linguistic representations and formal reasoning—for example, individual facial identity recognition, which may occur as quickly as 170 ms after stimulus onset [Adolphs 2003]). Nevertheless, examining our judgments and intuitions in cases that force us to explicitly consider whether personal identity is preserved may provide analogies and clues for how we should proceed with DID. Let us consider, then, some natural analogs of DID. Natural Analogs of DID Method Acting I suggest that method acting is an analog of DID (Manderino 1985). Method acting refers to an approach to acting training and performance in which emphasis is placed on intensely imagining and identifying with the mental life of the character being portrayed. Training courses and manuals list many techniques and practices that can be used to facilitate absorption in a role, drawing on different kinds of memory—for example, experiential memories, memories of others, general knowledge (semantic memory), and memories of sensations and feelings, to creative a vivid sense of the subjective experience and actions of the character. Manderino, a method acting teacher, comments: "it is important to investigate the way in which your own mental makeup can improperly influence a character. Insecurities, self-consciousness, shyness or self-doubts can maintain a strong hold, and permitting any of these feelings to enter a performance is to remain the actor and not enter into the mental life of the character. For some, acting allows personal problems to be left behind, and they are thankful for the complete escape that... (shrink)

The methodology implicit in empirically grounded social scientific studies of religion naturally allies with forms of semantic holism. However, a well known argument which questions whether holism in general is consistent with the fact that languages are learnable can be extended into an epistemological one which questions whether holism is consistent with an empirical methodology. In other words, there is question whether holism, in fact, makes social science possible. I diagnose the assumptions on which that objection rests, pointing (...) out that they are not necessary for semantic holism per se. I argue that a form of semantic holism along the lines advocated by W. V. O. Quine and Donald Davidson can avoid the objection. Moreover, when seen in this light, it has the resources to withstand an even deeper methodological problem. In so doing, though, several important but overlooked implications for the study of religion emerge. (shrink)

The civil rights, antiwar, and student upheavals of our day have served, aside from their primary objectives, to reawaken our consciousness of the basic problems of ethical and political obligation.

The theme surrounding scientific discoveries is quite neglected in and about the sciences, especially in terms of historical and epistemological understanding. Discoveries are often treated as simple information about dates, places, and people. This work presents discussions centered on historical episodes related to chemical elements and the Periodic Law, based on reflections by Thomas Kuhn and Norwood Hanson, aiming to highlight and contextualize specific scientific discoveries' conceptual and epistemological structure. With that in mind, issues related to the inseparability of the (...) contexts of discovery and justification are recovered, along with the complex intrinsic structures of the genesis of scientific knowledge and distinct types and categories of scientific discoveries. (shrink)

Contra Jackendoff, we argue that within the parallel architecture framework, the generality of language does not require a rich conceptual structure. To show this, we put forward a delegation model of specialization. We find Jackendoff's alternative, the subdivision model, insufficiently supported. In particular, the computational consequences of his representational notion of modularity need to be clarified.

The volume brings together for the first time original essays by leading philosophers working on powers in relation to metaphysics, philosophy of natural and social science, philosophy of mind and action, epistemology, ethics and social and political philosophy. In each area, the concern is to show how a commitment to real causal powers affects discussion at the level in question. In metaphysics, for example, realism about powers is now recognized as providing an alternative to orthodox accounts of causation, modality, (...) properties and laws. Dispositional realist philosophers of science, meanwhile, argue that a powers ontology allows for a proper account of the nature of scientific explanation. In the philosophy of mind there is the suggestion that agency is best understood in terms of the distinctive powers of human beings. Those who take virtue theoretic approaches in epistemology and ethics have long been interested in the powers that allow for knowledge and/or moral excellence. In social and political philosophy, finally, powers theorists are interested in the powers of sociological phenomena such as collectivities, institutions, roles and/or social relations, but also in the conditions of possibility for the cultivation of the powers of individuals. The book will be of interest to philosophers working in any of these areas, as well as to historians of philosophy, political theorists and critical realists. (shrink)

This is the Q&A portion of the roundtable that focuses on the crucial issues of individual and collective guilt of the intellectual class in the face of war. The participants address the stratification of Russian society, possibilities and obstacles of dissent, and the eschatological tendencies of history by engaging with each other’s claims and ideas and seeking answers to direct questions.

In this sweeping volume, Christopher Norris challenges the view that there is no room for productive engagement between mainstream analytic philosophers and thinkers in the post-Kantian continental line of descent. On the contrary, he argues, this view is simply the product of a limiting perspective that accompanied the rise of logical positivism. Norris reveals the various shared concerns that have often been obscured by parochial interests or the desire to stake out separate philosophical territory. He examines the problems that emerged (...) within the analytic tradition as a result of its turn against Husserlian phenomenology and its outright rejection of what came to be seen as a merely "psychologistic" approach to issues of meaning, knowledge, and truth. Norris shows how these problems have resurfaced in various forms from the heyday of logical empiricism to the present. He provides critical readings of such philosophers as Willard Quine, Thomas Kuhn, Donald Davidson, Hilary Putnam, Richard Rorty, Michael Dummett, Thomas Nagel, and John McDowell. He also offers a running discussion of Wittgenstein's influence and its harmful effect in promoting a placidly consensus-based theory of knowledge. On the continental side, Norris argues for a reassessment of Husserl's phenomenological project and its potential contribution to present-day Anglo-American debates in epistemology and philosophy of science. He discusses Bachelard, Canguilhem, and the French tradition of rationalisme applique as an alternative to Kuhnian conceptions of scientific paradigm change. This leads him to suggest a non-Wittgensteinian way around the problems that have dogged more traditional theories of knowledge andtruth. In two chapters on the work of Jacques Derrida, Norris explores the "supplementary" logic of deconstruction and compares it with other recent proposals for a nonstandard logic. Here again he stresses the community of interests between the two philosophical cultures and the extent to which continental thinking has engaged certain issues with a rigor largely ignored by Anglophone writers. By bringing a fresh perspective to questions that have often been considered the exclusive preserve of analytic philosophy, Norris offers an overview of current debates that is at once refreshingly open-minded and sure of its own argumentative bearings. (shrink)

Obviously medicine should be evidence-based. The issues lie in the details: what exactly counts as evidence? Do certain kinds of evidence carry more weight than others? (And if so why?) And how exactly should medicine be based on evidence? When it comes to these details, the evidence-based medicine (EBM) movement has got itself into a mess – or so it will be argued. In order to start to resolve this mess, we need to go 'back to basics'; and that means (...) turning to the philosophy of science. The theory of evidence, or rather the logic of the interrelations between theory and evidence, has always been central to the philosophy of science – sometimes under the alias of the 'theory of confirmation'. When taken together with a little philosophical commonsense, this logic can help us move towards a position on evidence in medicine that is more sophisticated and defensible than anything that EBM has been able so far to supply. (shrink)

Bernard Lonergan identified the need and possibility of what he called "generalized empirical method" in science and philosophy. Implementation will be a future community achievement. The book enters into details of a selection of examples in the sciences and philosophy of science. These are provided not to engage in, or blend the present aim with traditional philosophical debate, but as points of entry to help reveal the possibility and need of balanced empirical method. Taking words of Lonergan: "(Q)uestions (...) of method are practical. So my purpose in these (chapters) is not to demonstrate what is necessary. It is not to forecast what is probable. It is... to invite you to share in the exploration of a proposal" (Bernard Lonergan, A Third Collection (1985), 114). The main examples are drawn from biochemistry and biology, although heuristics envisioned will include all sciences. (shrink)

Review of Mark Buchanan, Ubiquity. The Science of History... Or Why The World is Simpler Than We Think, London: Weidenfeld & Nichols, 2000. ISBN 297–64376–2.

The volume brings together for the first time original essays by leading philosophers working on powers in relation to metaphysics, philosophy of natural and social science, philosophy of mind and action, epistemology, ethics and social and political philosophy. In each area, the concern is to show how a commitment to real causal powers affects discussion at the level in question. In metaphysics, for example, realism about powers is now recognized as providing an alternative to orthodox accounts of causation, modality, (...) properties and laws. Dispositional realist philosophers of science, meanwhile, argue that a powers ontology allows for a proper account of the nature of scientific explanation. In the philosophy of mind there is the suggestion that agency is best understood in terms of the distinctive powers of human beings. Those who take virtue theoretic approaches in epistemology and ethics have long been interested in the powers that allow for knowledge and/or moral excellence. In social and political philosophy, finally, powers theorists are interested in the powers of sociological phenomena such as collectivities, institutions, roles and/or social relations, but also in the conditions of possibility for the cultivation of the powers of individuals. The book will be of interest to philosophers working in any of these areas, as well as to historians of philosophy, political theorists and critical realists. (shrink)

This chapter contains sections titled: The Background Why is Science Special from the Epistemic Point of View? Accumulation in Science, Despite “Revolutions”? Other Issues.

Review of Stathis Psillos and Martin Curd (eds), The Routledge Companion to Philosophy of Science, London: Routledge, 2008. Pp. xxvii + 619.

The classical interpretation of probability together with the principle of indifference is formulated in terms of probability measure spaces in which the probability is given by the Haar measure. A notion called labelling invariance is defined in the category of Haar probability spaces; it is shown that labelling invariance is violated, and Bertrand’s paradox is interpreted as the proof of violation of labelling invariance. It is shown that Bangu’s attempt to block the emergence of Bertrand’s paradox by requiring the re-labelling (...) of random events to preserve randomness cannot succeed non-trivially. A non-trivial strategy to preserve labelling invariance is identified, and it is argued that, under the interpretation of Bertrand’s paradox suggested in the paper, the paradox does not undermine either the principle of indifference or the classical interpretation and is in complete harmony with how mathematical probability theory is used in the sciences to model phenomena. It is shown in particular that violation of labelling invariance does not entail that labelling of random events affects the probabilities of random events. It also is argued, however, that the content of the principle of indifference cannot be specified in such a way that it can establish the classical interpretation of probability as descriptively accurate or predictively successful. 1 The Main Claims2 The Elementary Classical Interpretation of Probability3 The General Classical Interpretation of Probability in Terms of Haar Measures4 Labelling Invariance and Labelling Irrelevance5 General Bertrand’s Paradox6 Attempts to Save Labelling Invariance7 Comments on the Classical Interpretation of Probability. (shrink)

Objective: To determine the usefulness of Q methodology to locate and describe shared subjective influences on clinical decision making among participant physicians using hypothetical cases containing common ethical issues. Design: Qualitative study using by-person factor analysis of subjective Q sort data matrix. Setting: University medical center. Participants: Convenience sample of internal medicine attending physicians and house staff (n = 35) at one midwestern academic health sciences center. Interventions: Presented with four hypothetical cases involving urgent decision making near the end of (...) life, participants selected one of three specific clinical actions offered for each case. Immediately afterward and while considering their decision, each respondent sorted twenty-five subjective self-referent items in terms of the influence of each statement on their decision-making process. By-person factor analysis, where participants are defined as variates, yielded information about the attitudinal background the physicians brought to their consideration of each hypothetical case. We performed a second-order factor analysis on all of the subjective viewpoints to determine if a smaller core of shared attitudes existed across some or all of the four case vignettes. Factor scores for each item and post-sort comments from interviews conducted individually with each respondent guided the interpretation of ethical perspective used by these respondents in making clinical decisions about the cases. Measurements and Main Results: Second-order factor analysis on seventeen viewpoints used by physicians in the four hypothetical urgent decision cases revealed three moderately correlated (r 2 < 40%) subjective core attitudinal guides used broadly among all the cases and among sixteen of the seventeen original factors. Across all the cases, our participants were guided in general by: (1) patient-focused beneficence, (2) a patient- and surrogate-focused perspective that includes risk avoidance, and (3) best interest of the patient guided by ethical values. Economic impact on the physician, expediency in resolution of the situation, and the expense of medical treatment were not found to be influential determinants in this study. Conclusions: Q sorting and by-person factor analysis are useful qualitative methodological tools to study the complex structure of subjective attitudes that influence physicians in making medical decisions. This study revealed the subjective viewpoints used by our physician participants as they made ethically challenging treatment decisions. The three second-order factors identified here are grounded in current bioethical values as well as the personal traits of physicians. The participants' decision methods appear to resemble casuistry more than principle-based decision making. Generalizability of results will require further studies. (shrink)

Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is (...) further bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests. (shrink)

Science provides us with representations of atoms, elementary particles, polymers, populations, genetic trees, economies, rational decisions, aeroplanes, earthquakes, forest fires, irrigation systems, and the world’s climate. It's through these representations that we learn about the world. This entry explores various different accounts of scientific representation, with a particular focus on how scientific models represent their target systems. As philosophers of science are increasingly acknowledging the importance, if not the primacy, of scientific models as representational units of science, (...) it's important to stress that how they represent plays a fundamental role in how we are to answer other questions in the philosophy of science (e.g. the scientific realism debate). This entry begins by disentangling ‘the’ problem of scientific representation, before critically evaluating the current options available in the literature. (shrink)

Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In this paper I argue that models share important aspects in common with literary fiction, and that therefore theories of fiction can be brought to bear on these questions. In particular, I argue that the pretence theory as developed by Walton (1990, Mimesis as make-believe: on the foundations of the (...) representational arts. Harvard University Press, Cambridge/MA) has the resources to answer these questions. I introduce this account, outline the answers that it offers, and develop a general picture of scientific modelling based on it. (shrink)

This paper examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon (2009) that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led to their conclusions. Furthermore, we generalize the (...) epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments. (shrink)

This volume is a serious attempt to open up the subject of European philosophy of science to real thought, and provide the structural basis for the interdisciplinary development of its specialist fields, but also to provoke reflection on the idea of ‘European philosophy of science’. This efforts should foster a contemporaneous reflection on what might be meant by philosophy of science in Europe and European philosophy of science, and how in fact awareness of it could assist (...) philosophers interpret and motivate their research through a stronger collective identity. The overarching aim is to set the background for a collaborative project organising, systematising, and ultimately forging an identity for, European philosophy of science by creating research structures and developing research networks across Europe to promote its development. (shrink)

A key component of much current research in behavioral ecology, cognitive science, and economics is a model of the mind at least partly based on beliefs and desires. However, despite this prevalence, there are still many open questions concerning both the structure and the applicability of this model. This is especially so when it comes to its ‘desire’ part: in particular, it is not yet entirely clear when and why we should expect organisms to be desire-based—understood so as to (...) imply that they consult explicit tokenings of what they ought to do—as opposed to being drive-based—understood so as to imply that they react to the world using behavioral reflexes. In this paper, I present the beginnings of an answer to this question. To do this, I start by showing that an influential recent attempt to address these issues—due to Kim Sterelny—fails to be fully successful, as it does not make sufficiently clear what the relative benefits and disadvantages of drive-based and desire-based cognitive architectures are. I then present an alternative account of this matter based on the idea that organisms that can follow explicit behavioral rules avoid having to memorize a large set of state of the world–action connections—which can be adaptive. Finally, I apply this account to the question of what the cognitive value of mental representations should be seen to be; here, I conclude that—contrary to some recent claims—relying on mental representations can make decision making easier, not harder, but also that—in line with these recent claims—whether it does so depends on the details of the case. (shrink)

According to Karl Popper, the evolution of science, logically, methodologically, and even psychologically, is an involved interplay of acute conjectures and blunt refutations. Like biological evolution, it is an endless round of blind variation and selective retention. But unlike biological evolution, it incorporates, at the stage of selection, the use of reason. Part I of this two-part paper begins by repudiating the common beliefs that Hume’s problem of induction, which compellingly confutes the thesis that science is rational in (...) the way that most people think that it is rational, can be solved by assuming that science is rational, or by assuming that Hume was irrational (that is, by ignoring his argument). The problem of induction can be solved only by a non-authoritarian theory of rationality. It is shown also that because hypotheses cannot be distilled directly from experience, all knowledge is eventually dependent on blind conjecture, and therefore itself conjectural. In particular, the use of rules of inference, or of good or bad rules for generating conjectures, is conjectural. Part II of the paper expounds a form of Popper’s critical rationalism that locates the rationality of science entirely in the deductive processes by which conjectures are criticized and improved. But extreme forms of deductivism are rejected. The paper concludes with a sharp dismissal of the view that work in artificial intelligence, including the JSM method cultivated extensively by Victor Finn, does anything to upset critical rationalism. Machine learning sheds little light on either the problem of induction or on the role that logic plays in the development of scientific knowledge. (shrink)

When physicist Alan Sokal recently submitted an article to the postmodernist journal Social Text, the periodical's editors were happy to publish it--for here was a respected scientist offering support for the journal's view that science is a subjective, socially constructed discipline. But as Sokal himself soon revealed in Lingua Franca magazine, the essay was a spectacular hoax--filled with scientific gibberish anyone with a basic knowledge of physics should have caught--and the academic world suddenly awoke to the vast gap that (...) has opened between the scientific community and their mould-be critics. But the truth is that not only postmodern critics but Americans in general have a weak grasp on scientific principles and facts. In Connected Knowledge, physicist Alan Cromer offers a way to bridge the chasm, with a lively, lucid account of scientific thinking and a provocative new agenda for American education. Science, Cromer argues, is anything but common sense: It requires a particular habit of mind that does not come naturally. For example, something as simple as buoyancy can only be explained through Archimedes' principle--that a body in a fluid is subject to an upward force equal to the weight of fluid it displaces--yet few scientists could arrive at this ancient concept by trial and error. School children, however, are often given a ball and a tank of water, and asked to explain buoyancy any way they can. Today's de emphasis on teaching pupils necessary facts and principles, he argues, "far from empowering them, makes them slaves of their own subjective opinions." This movement in education, known as Constructivism, has close ties to postmodern critics (such as the editors of Social Text) who question the objectivity of science, and with it the existence of an objective reality. Cromer offers a ringing defense of the knowability of the world, both as an objective reality and as a finite landscape of discovery. The advance of scientific knowledge, he argues, is not unlike the mapping of the continents; at this point, we have found them all. He shows how the advent of quantum mechanics, rather than making knowledge less certain, actually offers a more precise understanding of the behavior of atoms and electrons. Turning from philosophy to education, he argues that instead of allowing students to flounder, however creatively, schools should follow a progressive curriculum that returns theoretical knowledge to the classroom. Connected Knowledge, however, goes much farther. As a discipline that insists upon connecting theory with measurable reality, physical science offers a new direction for reforming the social sciences. Cromer also shows how some of the hottest issues in public policy--including the debates over special education and group variations in I.Q., can be resolved through clear, hard headed thinking. For example, he argues for use of the G.E.D. as a national educational standard, with a new "politics of intelligence" to guide the distribution of school resources. Always forthright and articulate, Alan Cromer offers a startling new vision for integrating science, philosophy, and education. (shrink)

This volume is a serious attempt to open up the subject of European philosophy of science to real thought, and provide the structural basis for the interdisciplinary development of its specialist fields, but also to provoke reflection on the idea of ‘European philosophy of science’. This efforts should foster a contemporaneous reflection on what might be meant by philosophy of science in Europe and European philosophy of science, and how in fact awareness of it could assist (...) philosophers interpret and motivate their research through a stronger collective identity. The overarching aim is to set the background for a collaborative project organising, systematising, and ultimately forging an identity for, European philosophy of science by creating research structures and developing research networks across Europe to promote its development. (shrink)

Este libro pertenece a la colección “The problems of Philosophy. Their past and present”, cuyo editor general es Ted Honderich. Como ya el título de la colección indica, lo que se pretende en cada volumen es recoger un problema importante, dentro de la filosofía, y presentar alguna nueva contribución. Cada libro se divide en dos partes. En la primera se hace una exposición histórica del problema y en la segunda el autor realiza su contribución. Con respecto a la configuración (...) del libro, nuestra única objeción es la distribución de las notas. Ponerlas al final del libro, justo antes de la bibliografía, no hace sino dificultar e interrumpir la lectura. Por lo demás pienso que es una idea excelente situar el problema históricamente; aunque quizás se le dedique demasiado espacio, al menos en este volumen. (shrink)

Motivated by the developments in contemporary mathematical physics and the related interpretive and historiographical works on these developments, a structuralist and historically constitutive and constructive approach to scientific realism (SHASR) is proposed to address the challenges Thomas Kuhn raised against scientific realism, and to remove the defects of the currently available dissatisfactory responses the structuralists put forward to the challenges. The paper shows that SHASR productively exploits the insights from both Kuhn’s historicism and his critics’ structuralism, while avoids the traps (...) in both traditions. Then, after a brief comparison between SHASR and the increasingly popular neo-Kantian post-Kuhnian philosophy of science recommended and defended by Michael Freedman and some others, it concludes with a big picture about the science-world relationship derived from the notion of emergence conceptualized within the framework of SHASR, whose bearings on the Kantian question of the phenomenal - noumenal relationship are worth further explorations. (shrink)

Philosophical accounts of scientific explanation are broadly divided into ontic and epistemic views. This paper explores the idea that the lexical ambiguity of the verb to explain and its nominalisation supports an ontic conception of explanation (Salmon 1989; Craver 2007). I analyse one argument which challenges this strategy by criticising the claim that explanatory talk is lexically ambiguous (Wright, European Journal of Philosophy of Science 2(3), 375–394, 2012). I propose that the linguistic mechanism of transfer of meaning (Nunberg, Journal (...) of Semantics 12(2), 109–132, 1995) provides a better account of the lexical alternations that figure in the systematic polysemy of explanatory talk, and evaluate the implications of this proposal for the debate between ontic and epistemic conceptions of scientific explanation. (shrink)

It is a rather remarkable fact that in most discussions of Aquinas’s ethics, Q. 21 of the De Veritate which deals with Aquinas’s notion of Good, is almost entirely overlooked. For example D. J. O’Connor’s book Aquinas and Natural Law refers only once to the De Veritate and that is not a reference to Q. 21. Even the massive work of Gilson, The Christian Philosophy of St. Thomas Aquinas, in the entire third section which deals with Aquinas’s moral theory has (...) only six references to the De Veritate and again none are to Q. 21. H. J. McCloskey in Meta-Ethics and Normative Ethics, provides what he considers two definitive repudiations of Aquinas’s theory but there is no mention or reference to the De Veritate. There may be a reason for this. Thomists like Gilson may not be attuned to or interested in answering the specific problems which contemporary ethical theorists address themselves to, while ethical theorists like O’Connor seem to depend upon traditional Thomistic accounts to locate the pertinent passages in Aquinas’s ethical writings, accounts which follow the order of one or other of the Summas. Be that as it may, some of the most illuminating sections of Aquinas dealing with ethical-theoretical issues are to be found in Question 21 of the De Veritate, for in this question is found a definition of the good as well as explanations of this definition. Consider the following passages where Aquinas lists what seem to be necessary conditions for calling something good. (shrink)

This paper defends an inferential conception of scientific representation. It approaches the notion of representation in a deflationary spirit, and minimally characterizes the concept as it appears in science by means of two necessary conditions: its essential directionality and its capacity to allow surrogate reasoning and inference. The conception is defended by showing that it successfully meets the objections that make its competitors, such as isomorphism and similarity, untenable. In addition the inferential conception captures the objectivity of the cognitive (...) representations used by science, it sheds light on their truth and completeness, and it explains the source of the analogy between scientific and artistic modes of representation. (shrink)

Consider a gas that is adiabatically isolated from its environment and confined to the left half of a container. Then remove the wall separating the two parts. The gas will immediately start spreading and soon be evenly distributed over the entire available space. The gas has approached equilibrium. Thermodynamics (TD) characterizes this process in terms of an increase of thermodynamic entropy, which attains its maximum value at equilibrium. The second law of thermodynamics captures the irreversibility of this process by positing (...) that in an isolated system such as the gas entropy cannot decrease. The aim of statistical mechanics (SM) is to explain the behavior of the gas and, in particular, its conformity with the second law in terms of the dynamical laws governing the individual molecules of which the gas is made up. In what follows these laws are assumed to be the ones of Hamiltonian classical mechanics. We should not, however, ask for an explanation of the second law literally construed. This law is a universal law and as such cannot be explained by a statistical theory. But this is not a problem because we.. (shrink)

In this paper we explore the constraints that our preferred account of scientific representation places on the ontology of scientific models. Pace the Direct Representation view associated with Arnon Levy and Adam Toon we argue that scientific models should be thought of as imagined systems, and clarify the relationship between imagination and representation.

What can microbiology teach us about cultural evolution? Philosopher of Biology, Jonathan Birch, discusses “horizontal transmission”.

Some scientists are happy to follow in the footsteps of others; some like to explore novel approaches. It is tempting to think that herein lies an epistemic division of labor conducive to overall scientific progress: the latter point the way to fruitful areas of research, and the former more fully explore those areas. Weisberg and Muldoon’s model, however, suggests that it would be best if all scientists explored novel approaches. I argue that this is due to implausible modeling choices, and (...) I present an alternative ‘epistemic landscape’ model that demonstrates the alleged benefits from division of labor, with one restriction. (shrink)

This article proposes to explicate theoretical equivalence by supplementing formal equivalence criteria with preservation conditions concerning interpretation. I argue that both the internal structure of models and choices of morphisms are aspects of formalisms that are relevant when it comes to their interpretation. Hence, a formal criterion suitable for being supplemented with preservation conditions concerning interpretation should take these two aspects into account. The two currently most important criteria—gener-alized definitional equivalence (Morita equivalence) and categorical equivalence—are not optimal in this respect. (...) I put forward a criterion that takes both aspects into account: the criterion of definable categorical equivalence. (shrink)

The state of science at any given time is characterized, in part at least, by the theories that are accepted at that time. Presently accepted theories include quantum theory, the general theory of relativity, and the modern synthesis of Darwin and Mendel, as well as lower‐level (but still clearly theoretical) assertions such as that DNA has a double‐helical structure, that the hydrogen atom contains a single electron, and so on. What precisely is involved in accepting a theory?

Many scientific models are representations. Building on Goodman and Elgin’s notion of representation-as we analyse what this claim involves by providing a general definition of what makes something a scientific model, and formulating a novel account of how they represent. We call the result the DEKI account of representation, which offers a complex kind of representation involving an interplay of, denotation, exemplification, keying up of properties, and imputation. Throughout we focus on material models, and we illustrate our claims with (...) the Phillips-Newlyn machine. In the conclusion we suggest that, mutatis mutandis, the DEKI account can be carried over to other kinds of models, notably fictional and mathematical models. (shrink)

Sender–receiver games, first introduced by David Lewis ([1969]), have received increased attention in recent years as a formal model for the emergence of communication. Skyrms ([2010]) showed that simple models of reinforcement learning often succeed in forming efficient, albeit not necessarily minimal, signalling systems for a large family of games. Later, Alexander et al. ([2012]) showed that reinforcement learning, combined with forgetting, frequently produced both efficient and minimal signalling systems. In this article, I define a ‘dynamic’ sender–receiver game in which (...) the state–action pairs are not held constant over time and show that neither of these two models of learning learn to signal in this environment. However, a model of reinforcement learning with discounting of the past does learn to signal; it also gives rise to the phenomenon of linguistic drift. 1 Introduction2 Dynamic Signalling Games with Reinforcement Learning2.1 Introducing new states2.2 Swapping state–action pairs3 Discounting the Past3.1 Learning to signal in a dynamic world3.2 An unexpected outcome: linguistic drift4 ConclusionAppendix: A Markov Chain Analysis. (shrink)

This article argues that common intuitions regarding (a) the specialness of ‘use-novel’ data for confirmation and (b) that this specialness implies the ‘no-double-counting rule’, which says that data used in ‘constructing’ (calibrating) a model cannot also play a role in confirming the model’s predictions, are too crude. The intuitions in question are pertinent in all the sciences, but we appeal to a climate science case study to illustrate what is at stake. Our strategy is to analyse the intuitive claims (...) in light of prominent accounts of confirmation of model predictions. We show that on the Bayesian account of confirmation, and also on the standard classical hypothesis-testing account, claims (a) and (b) are not generally true; but for some select cases, it is possible to distinguish data used for calibration from use-novel data, where only the latter confirm. The more specialized classical model-selection methods, on the other hand, uphold a nuanced version of claim (a), but this comes apart from (b), which must be rejected in favour of a more refined account of the relationship between calibration and confirmation. Thus, depending on the framework of confirmation, either the scope or the simplicity of the intuitive position must be revised. 1 Introduction2 A Climate Case Study3 The Bayesian Method vis-à-vis Intuitions4 Classical Tests vis-à-vis Intuitions5 Classical Model-Selection Methods vis-à-vis Intuitions 5.1 Introducing classical model-selection methods 5.2 Two cases6 Re-examining Our Case Study7 Conclusion. (shrink)

The Common Cause Principle, stating that correlations are either consequences of a direct causal link between the correlated events or are due to a common cause, is assessed from the perspective of its viability and it is argued that at present we do not have strictly empirical evidence that could be interpreted as disconfirming the principle. In particular it is not known whether spacelike correlations predicted by quantum field theory can be explained by properly localized common causes, and EPR correlations (...) are known to be unexplainable only by common causes that are required to satisfy conditions that are empirically not tested. (shrink)

This article develops an analogy proposed by Stachel between general relativity (GR) and quantum mechanics (QM) as regards permutation invariance. Our main idea is to overcome Pooley's criticism of the analogy by appeal to paraparticles. In GR, the equations are (the solution space is) invariant under diffeomorphisms permuting spacetime points. Similarly, in QM the equations are invariant under particle permutations. Stachel argued that this feature—a theory's ‘not caring which point, or particle, is which’—supported a structuralist ontology. Pooley criticizes this (...) analogy: in QM the (anti-)symmetrization of fermions and bosons implies that each individual state (solution) is fixed by each permutation, while in GR a diffeomorphism yields in general a distinct, albeit isomorphic, solution. We define various versions of structuralism, and go on to formulate Stachel's and Pooley's positions, admittedly in our own terms. We then reply to Pooley. Though he is right about fermions and bosons, QM equally allows more general types of particle symmetry, in which states (vectors, rays, or density operators) are not fixed by all permutations (called ‘paraparticle states’). Thus Stachel's analogy is revived. (shrink)