I offer a defense of ana-logical accounts of scientific models by meeting certain logical objections to the legitimacy of analogical reasoning. I examine an argument by Joseph Agassi that purports to show that all putative cases of analogical inference succumb to the following dilemma: either (1) the reasoning remains hopelessly vague and thus establishes no conclusion, or (2) can be analyzed into a logically preferable non-analogical form. In rebuttal, I offer a class of (...) class='Hi'>scientific models for which (a) there is no satisfactory non-analogical analysis, and (b) we can gain sufficient clarity for the legitimacy of the inference to be assessed. This result constitutes an existence proof for a class of analogical models that escape Agassi’s dilemma. (shrink)

This paper is about the use of analogical reasoning, models and metaphors in Galileo's discovery of the mountains of the moon, which he describes in the Starry Messenger, a short but groundbreaking treatise published in 1610. On the basis of the observations of the Moon he has made with the newly invented telescope, Galileo shows that the Moon has mountains and that therefore it shares the same solid, opaque and rugged nature of the Earth. I will first (...) reconstruct Galileo's reasoning, and illustrate the counterintuitive and quasi-circular way in which discovery depends on analogy: in order for analogical reasoning to succeed in bridging ontological gaps and thus serve as a discovery tool, a certain similarity between what are considered as radically different domains has to be presupposed. More particularly, in order for analogical reasoning to lead to genuine discoveries, salient features have to be selected in the source domain that will be mapped onto the target domain. There is disagreement as to how this mapping is successfully carried out: the syntactical, pragmatic and ontological-categorical approaches, all illuminate some features of this selection in the mapping process. On the basis of an analysis of Galileo's discovery, I will argue that we need a different "bootstrapping" approach which involves the construction of an imaginary temporary model encompassing both the source and the target domains, and which is occasionally strengthened by metaphors which serve as incomplete transitional models. (shrink)

Reasoning patterns found in Galileo’s treatise on machines, On Mechanics, are compared with patterns identified in case studies of scientifically trained experts thinking aloud, and many similarities are found. At one level the primary patterns identified are ordered analogy sequences and special diagrammatic techniques to support them. At a deeper level I develop constructs to describe patterns that can support embodied, imagistic, mental simulations as a central underlying process. Additionally, a larger hypothesized pattern of ‘progressive imagistic generalization’—Galileo’s development of (...) a model or mechanism that becomes more and more general with each machine while still being imagistically projectable into many machines—provides a way to think about his progress toward a modern explanatory model of torque. By unpacking his arguments, we gain an appreciation of his skillful ability to foster imagistic processes underlying scientific thinking. (shrink)

The picture of synthetic biology as a kind of engineering science has largely created the public understanding of this novel field, covering both its promises and risks. In this paper, we will argue that the actual situation is more nuanced and complex. Synthetic biology is a highly interdisciplinary field of research located at the interface of physics, chemistry, biology, and computational science. All of these fields provide concepts, metaphors, mathematical tools, and models, which are typically utilized by synthetic biologists by (...) drawing analogies between the different fields of inquiry. We will study analogical reasoning in synthetic biology through the emergence of the functional meaning of noise, which marks an important shift in how engineering concepts are employed in this field. The notion of noise serves also to highlight the differences between the two branches of synthetic biology: the basic science-oriented branch and the engineering-oriented branch, which differ from each other in the way they draw analogies to various other fields of study. Moreover, we show that fixing the mapping between a source domain and the target domain seems not to be the goal of analogical reasoning in actual scientific practice. (shrink)

Scientists have used models for hundreds of years as a means of describing phenomena and as a basis for further analogy. In Scientific Models in Philosophy of Science, Daniela Bailer-Jones assembles an original and comprehensive philosophical analysis of how models have been used and interpreted in both historical and contemporary contexts. Bailer-Jones delineates the many forms models can take (ranging from equations to animals; from physical objects to theoretical constructs), and how they are put to use. She examines early (...) mechanical models employed by nineteenth-century physicists such as Kelvin and Maxwell, describes their roots in the mathematical principles of Newton and others, and compares them to contemporary mechanistic approaches. Bailer-Jones then views the use of analogy in the late nineteenth century as a means of understanding models and to link different branches of science. She reveals how analogies can also be models themselves, or can help to create them. The first half of the twentieth century saw little mention of models in the literature of logical empiricism. Focusing primarily on theory, logical empiricists believed that models were of temporary importance, flawed, and awaiting correction. The later contesting of logical empiricism, particularly the hypothetico-deductive account of theories, by philosophers such as Mary Hesse, sparked a renewed interest in the importance of models during the 1950s that continues to this day. Bailer-Jones analyzes subsequent propositions of: models as metaphors; Kuhn's concept of a paradigm; the Semantic View of theories; and the case study approaches of Cartwright and Morrison, among others. She then engages current debates on topics such as phenomena versus data, the distinctions between models and theories, the concepts of representation and realism, and the discerning of falsities in models. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Hume Studies Volume 28, Number 1, April 2002, pp. 113-130 Bayesianism, Analogy, and Hume's Dialogues concerning Natural Religion SALLY FERGUSON Introduction Analyses of the argument from design in Hume's Dialogues concerning Natural Religion have generally treated that argument as an example of reasoning by analogy.1 In this paper I examine whether it is in accord with Hume's thinking about the argument to subsume the version of it (...) given in the Dialogues under the model of probabilistic reasoning offered by Bayes's theorem. Wesley Salmon attempted this project in 1978.2 In related projects, David Owen3 as well as Philip Dawid and Donald Gillies4 have more recently attempted to construct Bayesian analyses of Hume's argument concerning testimony in "Of Miracles." I want to be careful at this stage to note exactly what I will claim. It is not that Bayesian reasoning sheds no light on the argument from design, or on arguments concerning testimony. All of the analyses mentioned above are beneficial in that they have been able to expose subtleties in these arguments that had previously gone unnoticed. Salmon's paper, in particular, contributes nicely to an understanding of just how the design argument may function in relation to contemporary scientific reasoning. In this paper I argue that, nonetheless, the attempt to apply Bayesian reasoning to the argument as presented in the Dialogues is not well supported as a reconstruction of Hume's own approach to the argument from design. Sally Ferguson is Assistant Professor of Philosophy, University of West Florida, UOOO University Parkway, Pensacola, FL 32514, USA. e-mail: [email protected] 114 Sally Ferguson There are two stages to my treatment of the issue. I begin by considering how much Hume knew of Bayes's theorem, and what consequence that knowledge might have had on his treatment of the argument in the Dialogues. This discussion includes a consideration of exactly what has been claimed by other authors on this subject, including what some have argued concerning Hume's reasonings in "Of Miracles," section 10 of An Enquiry concerning Human Understanding. I conclude that, based on the historical data, there is little reason to think of Hume's approach to the argument from design as anything more than proto-Bayesian at best. I then argue further, through a close textual analysis of the Dialogues, that there are good reasons for not treating Hume's reasoning there as even proto-Bayesian. In the end, the benefits that have been claimed for that approach, in terms of exposing both the subtleties of the argument and of Hume's reasoning about it, can equally well be derived from a careful analysis of the argument under a model of analogical reasoning, without need of Bayes's theorem. Section One Perhaps one might think that there is not much use for a consideration of the question whether Hume himself conceived of any of his arguments along specifically Bayesian lines. As Gower argues,5 Hume's knowledge of mathematics in general was fairly limited, and Bayes's theorem was not well known even up until Hume's death. It is important, therefore, for me to establish that there have not only been those who thought that Bayesian reasoning illuminates the arguments Hume gave, but also his own thinking about those arguments. It is also important for me to establish that it is not obvious that knowledge of Bayes's theorem did not affect Hume's reasonings. Each of these points will be addressed in the following. As to the first point, the claims of some authors on the subject are ambiguous. Dawid and Gillie, for example, make no statement to the effect that the probabilities involved in Bayes's theorem were in fact examined in "Of Miracles," nor do they attempt to produce any passages from Hume in support of that view. Thus it would be assumed that they see their attempt not as an attempt to provide an analysis that represents Hume's own approach to the argument, but rather simply as one that provides an illuminating method of analysis and support for an argument that Hume happened to give. Indeed, their conclusion, to the effect that a... (shrink)

When Johann and Daniel Bernoulli founded fluid dynamics they encountered several problems. To go beyond the vision of Newtonian particles, a new set of images was needed in order to deal with the spatial extensibility and lack of form of fluids. I point to evidence that analogy was an essential abductive strategy in the creation of this imagery. But its heuristic behavior is complex: analogy can provide an initial model or proto-model that establishes the starting point of a theoretical process, (...) but it can play other roles as well. The historical genesis analyzed here shows that the participation of analogy in physicists’ creativity is not so restricted and that its richness opens up the field for very different roles and strategies in model-based discovery processes. Analogies can crop up intermittently in the evolution of a theory; and they can cooperate with images, extreme case reasoning and thought experiments, and even activate these processes at origin. Although it may seem that the contributions of analogy are generative in the sense of helping to discover new aspects of reality, we must stress the evaluative function that sometimes is performed by analogical reasoning in order to gain confidence. The study of the Bernoulli’s genesis of the foundations of fluid dynamics generates interesting hypotheses about the multiple roles that analogy can play in scientific model-based reasoning. (shrink)

Since the first decade of the 14th Century, Thomas Aquinas’s disciples have struggled to explain and defend his doctrine of analogy. Analogy after Aquinas: Logical Problems, Thomistic Answers relates a history of prominent Medieval and Renaissance Thomists’ efforts to solve three distinct but interrelated problems arising from their reading both of Aquinas’s own texts on analogy, and from John Duns Scotus’s arguments against analogy and in favor of univocity in Metaphysics and Natural Theology. The first of these three problems concerns (...) Aquinas’s at least apparently disparate statements on whether a name is said by analogy through a single concept or through diverse concepts. The second problem concerns the model of analogy suited for predicating names analogously across the categories of being or about God and creatures. Is “being” said analogously about God and creatures, or substance and accidents, on the model of how “healthy” is said of medicine and an animal, or on the model of how “principle” is said of a point and a line? The third problem comes from outside challenges to Aquinas’s thought, in particular Scotus’ claims that univocal names alone can mediate valid demonstrations, and any demonstration that failed to use its mediating terms univocally would fail by the fallacy of equivocation. Analogy after Aquinas makes a unique contribution to the study of philosophical theology in the tradition of Thomas Aquinas by showing the historical and philosophical connection between these three problems, as well as the variety of solutions proposed by leading representatives of this tradition. Thomists considered in the book include: Hervaeus Natalis (1250-1323), Thomas Sutton (1250-1315), John Capreolus (1380-1444), Dominic of Flanders (1425-1479), Paul Soncinas (d. 1494), Thomas dio vio Cajetan (1469-1534), Francis Silvestri of Ferrara (1474-1528), and Chrysostom Javelli (1470-1538). (shrink)

The study of creative, diagnostic, visual, spatial, analogical, and temporal reasoning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help only of traditional notions of reasoning such as classical logic. Understanding the contribution of modeling practices to discovery and conceptual change in science requires expanding scientific reasoning to include complex forms of creative reasoning that are not always successful and can lead to (...) incorrect solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philosophy, artificial intelligence, cognitive psychology, and logic; that is, at the heart of cognitive science. There are several key ingredients common to the various forms of model-based reasoning. The term "model" comprises both internal and external representations. The models are intended as interpretations of target physical systems, processes, phenomena, or situations. The models are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain. Moreover, in the modeling process, various forms of abstraction are used. Evaluation and adaptation take place in light of structural, causal, and/or functional constraints. Model simulation can be used to produce new states and enable evaluation of behaviors and other factors. Several of the papers in this volume aim at increasing epistemological knowledge about the role of model-based reasoning in various scientific tasks, other papers address fundamental cognitive issues related to model-based reasoning and illustrate novel analyses of cognitive "logical" models of model-based reasoning and of the interplay abduction/model-based reasoning/creative inferences. The volume is based on the papers that were presented at the International Conference Model-Based Reasoning in Science and Engineering: Abduction, Visualization, Simulation, held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 2004. (shrink)

Visual analogy is believed to be important in human problem solving. Yet, there are few computational models of visual analogy. In this paper, we present a preliminary computational model of visual analogy in problem solving. The model is instantiated in a computer program, called Galatea, which uses a language for representing and transferring visual information called Privlan. We describe how the computational model can account for a small slice of a cognitive-historical analysis of Maxwell’s reasoning about electromagnetism.

Scientists have used models for hundreds of years as a means of describing phenomena and as a basis for further analogy. In Scientific Models in Philosophy of Science, Daniela Bailer-Jones assembles an original and comprehensive philosophical analysis of how models have been used and interpreted in both historical and contemporary contexts. Bailer-Jones delineates the many forms models can take (ranging from equations to animals; from physical objects to theoretical constructs), and how they are put to use. She examines early (...) mechanical models employed by nineteenth-century physicists such as Kelvin and Maxwell, describes their roots in the mathematical principles of Newton and others, and compares them to contemporary mechanistic approaches. Bailer-Jones then views the use of analogy in the late nineteenth century as a means of understanding models and to link different branches of science. She reveals how analogies can also be models themselves, or can help to create them. The first half of the twentieth century saw little mention of models in the literature of logical empiricism. Focusing primarily on theory, logical empiricists believed that models were of temporary importance, flawed, and awaiting correction. The later contesting of logical empiricism, particularly the hypothetico-deductive account of theories, by philosophers such as Mary Hesse, sparked a renewed interest in the importance of models during the 1950s that continues to this day. Bailer-Jones analyzes subsequent propositions of: models as metaphors; Kuhn's concept of a paradigm; the Semantic View of theories; and the case study approaches of Cartwright and Morrison, among others. She then engages current debates on topics such as phenomena versus data, the distinctions between models and theories, the concepts of representation and realism, and the discerning of falsities in models. (shrink)

Philosophical defenders of animal liberation believe that we have direct duties to animals. Typically a presumption of that belief is that animals have the capacity to experience pain and suffering. Notoriously, however, a strand of Western scientific and philosophical thought has held animals to be incapable of experiencing pain, and even today one frequently encounters in discussions of animal liberation expressions of scepticism about whether animals really experience pain. -/- The Analogical Argument for Animal (...) Pain responds to this scepticism by claiming that it is just as reasonable for me to believe that animals feel pain, given my only evidence for this is shared behaviour and physiology, as it is for me to believe that other humans feel pain on the basis of similar evidence. In this paper I expound and defend this Argument. (shrink)

Few, if any, scientific inquiries are conducted against a background of complete knowledge, a background in which inquirers are in possession of the ‘full facts’ that relate to a particular question or issue. More often than not, scientists are compelled to conduct their deliberations in contexts of epistemic uncertainty, in which partial knowledge or even a total absence of knowledge characterise inquiry. Nowhere is this epistemic uncertainty more evident, or indeed more successfully controlled, than in the branch of (...) class='Hi'>scientific inquiry called epidemiology. In this paper, I examine how epidemiologists overcome the unique challenges to inquiry that are posed by epistemic uncertainty. In specific terms, I contend that epidemiologists employ analogical reasoning strategies in an attempt to advance their inquiries in situations that are epistemically uncertain. The context for my claims will be the early inquiries that were conducted into the emergence of HIV/AIDS in the United States. I argue that early scientific work in relation to HIV/AIDS was directly premised upon epidemiological investigations in which analogical reasoning with hepatitis B had featured significantly. I conclude that epidemiological investigations of AIDS exemplify the capacity of analogical reasoning to advance inquiry under conditions of epistemic uncertainty. To this extent, analogical reasoning should be a concern both to those who address practical problems of uncertainty management and to those who pursue theoretical debates within argumenta-tion studies and epistemology. (shrink)

The central role played by Darwin's analogy between selection under domestication and that under nature has been adequately appreciated, but I have indicated how important the domesticated organisms also were to other elements of Darwin's theory of evolution-his recognition of “the constant principle of change,” for instance, of the imperfection of adaptation, and of the extent of variation in nature. The further development of his theory and its presentation to the public likewise hinged on frequent reference to domesticates.We have seen (...) that Darwin's reliance on the analogy between domesticated varieties and wild species was a bold and original step, in light of contemporary views on the nature of domesticates. However, as Darwin undoubtedly foresaw, his reliance on the analogy created difficulties as well as solving problems, and these began with his Malthusian codiscoverer of the principle of natural selection, Alfred Russel Wallace. Wallace's paper “On the Tendency of Varieties to Depart Indefinitely from the Original Type,” presented to the Linnean Scoiety along with the first public unveiling of Darwin's theory, states: We see, then, that no inferences as to varieties in a state of nature can be deduced from the observation of those occurring among domestic animals. The two are so much opposed to each other in every circumstance of their existence, that what applies to the one is almost sure not to apply to the other. Domestic animals are abnormal, irregular, artificial; they are subject to varieties which never occur and never can occur in a state of nature.62Much has been made of the similarity of views of Darwin and Wallace, but this quotation surely reveals how utterly different their views were on what to Darwin was an important matter. Several critics of the Origin saw Darwin's reliance on the domesticates as his Achilles heel. As Young has pointed out, Samuel Wilberforce included the following passage in his attack on the Origin: Nor must we pass over unnoticed the transference of the argument from the domesticated to the untamed animals. Assuming that man as the selector can do much in a limited time, Mr. Darwin argues that Nature, a more powerful, a more continuous power, working over vastly extended ranges of time, can do more. But why should Nature, so uniform and persistent in all her operations, tend in this instance to change? Why should she become a selector of varieties?63Another critic, Fleeming Jenkin, found the analogy a weakness in Darwin's theory because of the limited extent of variation in any one direction in domestic animals and plants.64 We have already seen that Darwin had confided a similar view to his notebook thirty years earlier, but changed his mind as a result of his profound study of domesticates. De Beer's reference to “an English country gentleman's knowledge of domestic plants and animals and their breeding”65 fails totally to recognize the originality and depth of Darwin's knowledge of domesticates.Why did Darwin, against the currents of his time, rely so heavily on mankind's experience with domesticated organisms to shape his theory about species in nature? On reason is that only with domesticates was an approach that came close to experimental verification possible. Darwin fully realized the inadequacies of the experiment, as is emphasized by his repeated contrasting of selection under nature and selection by man. Yet the extensive experience and data of plant and animal breeders offered the only reliable base against which Darwin could continually challenge his views. As he wrote in the introduction to Variation, with domestication, “man ... may be said to have been trying an experiment on a gigantic scale.”66 Given Darwin's high opinion of the quantitative work of Malthus and Quetelet (as emphasized by Schweber),67 and his unremitting efforts to secure data by which to test his theories, it was inevitable that he should attach high significance to domesticated varieties. John Tyndall, in his Belfast address of 1874, said: “The strength of the doctrine of Evolution consists, not in experimental demonstration (for the subject is hardly accessible to this mode of proof), but in its general harmony with scientific thought.”68 Darwin would have agreed with the latter thought, but I think he would have challenged the preceding one on the grounds that long experience with domesticated varieties did provide an element of experimental demonstration. It gave him confidence in his theory, and he used his vast knowledge of artificial selection boldly and creatively. (shrink)

This thesis addresses two enduring issues in legal theory-- rationality and its association with rule of law values--by offering detailed models of two patterns of legal reasoning. One is reasoning by analogy. The other is the inference process that legal reasoners use when they defer epistemically to scientific experts in the course of reaching legal decisions. Discussions in both chapters reveal that the inference pattern known as "abduction" is a deeply important element of many legal inferences, including (...) analogy and epistemic deference to experts--something that has been largely unrecognized in legal theory. After presenting a detailed model of analogy, Chapter 1 argues that legal reasoning by analogy, like analogical argument in logic, mathematics, and the natural sciences, possesses a great deal of rational force when properly executed. Chapter 2 investigates the reasoning process by which non-expert legal reasoners defer epistemically to the judgments of scientists. It presents five main conclusions or explanations. Every practical syllogism actually consists of two distinct chains of inference, and what is usually considered in writings on practical reasoning to be the minor premise of a practical syllogism is actually the conclusion of a separate chain of argument. When a practical reasoner defers epistemically to a theoretical expert, this separate chain of argument has a special structure, which is modeled in Chapter 2. The non-expert legal reasoner must always make a prescriptive practical judgment about the standard of epistemic appraisal and level of epistemic confidence that the reasoner requires of scientific evidence before it may be relied upon in reaching a legal decision. Legal systems should be committed to an emergent rule of law ideal identified and referred to as "intellectual due process" which condemns epistemically arbitrary reasoning processes insofar as they play a role in legal decisionmaking. Since non-arbitrariness is a necessary condition of both epistemic and legal legitimacy, we have compelling reason to doubt that the non-arbitrariness condition can be met when non-experts defer epistemically to scientific experts. (shrink)

Few, if any, scientific inquiries are conducted against a background of complete knowledge, a background in which inquirers are in possession of the ‘full facts’ that relate to a particular question or issue. More often than not, scientists are compelled to conduct their deliberations in contexts of epistemic uncertainty, in which partial knowledge or even a total absence of knowledge characterise inquiry. Nowhere is this epistemic uncertainty more evident, or indeed more successfully controlled, than in the branch of (...) class='Hi'>scientific inquiry called epidemiology. In this paper, I examine how epidemiologists overcome the unique challenges to inquiry that are posed by epistemic uncertainty. In specific terms, I contend that epidemiologists employ analogical reasoning strategies in an attempt to advance their inquiries in situations that are epistemically uncertain. The context for my claims will be the early inquiries that were conducted into the emergence of HIV/AIDS in the United States. I argue that early scientific work in relation to HIV/AIDS was directly premised upon epidemiological investigations in which analogical reasoning with hepatitis B had featured significantly. I conclude that epidemiological investigations of AIDS exemplify the capacity of analogical reasoning to advance inquiry under conditions of epistemic uncertainty. To this extent, analogical reasoning should be a concern both to those who address practical problems of uncertainty management and to those who pursue theoretical debates within argumentation studies and epistemology. (shrink)

St. Anselm is a master of philosophical prose. His writings on God, truth, and free will are models of clarity born of unflagging concern for argumentative precision. He is especially adept at using analogies to cinch his readers' understanding of these recondite matters. Who could forget the light shed upon the concept of existence by the Painter Analogy in the Ontological Argument or how his River Analogy illumines the unification of the Holy Trinity? Such intellectual insights could only be gifts (...) of the Holy Ghost for the edification of Holy Mother Church. I shall discuss here the three splendid analogies that St. Anselm draws in De Concordia in order to reconcile grace and free will, fostering an understanding of co-operation according to which divine assistance must accentuate, rather than nullify, exercises of human freedom. Central to my discussion is The Father of Scholasticism's four-fold distinction between a power, its exercises, the effects of those exercises, and opportunities to bring about those effects. (shrink)

St. Anselm is a master of philosophical prose. His writings on God, truth, and free will are models of clarity born of unflagging concern for argumentative precision. He is especially adept at using analogies to cinch his readers' understanding of these recondite matters. Who could forget the light shed upon the concept of existence by the Painter Analogy in the Ontological Argument or how his River Analogy illumines the unification of the Holy Trinity? Such intellectual insights could only be gifts (...) of the Holy Ghost for the edification of the Holy Mother Church. I shall discuss here the three splendid analogies that St. Anselm draws in De Concordia in order to reconcile grace and free will, fostering an understanding of cooperation according to which divine assistance must accentuate, rather than nullify, exercises of human freedom. Central to my discussion is The Father of Scholasticism's four-fold distinction between a power, its exercises, the effects of those exercises, and opportunities to bring about those effects. (shrink)

This paper defends the thesis of learning from non-causal models: viz. that the study of some model can prompt justified changes in one’s confidence in empirical hypotheses about a real-world target in the absence of any known or predicted similarity between model and target with regards to their causal features. Recognizing that we can learn from non-causal models matters not only to our understanding of past scientific achievements, but also to contemporary debates in the philosophy of science. At (...) one end of the philosophical spectrum, my thesis undermines the views of those who, like Cartwright (Erkenntnis 70:45–58, 2009), follow Hesse (Models and Analogies in Science, Notre Dame, University of Notre Dame Press, 1963) in restricting the possibility of learning from models to only those situations where a model identifies some causal factors present in the target. At the other end of the spectrum, my thesis also helps undermine some extremely permissive positions, e.g., Grüne-Yanoff’s (Erkenntnis 70(1):81–99, 2009, Philos Sci 80(5): 850–861, 2013) claim that learning from a model is possible even in the absence of any similarity at all between model and target. The thesis that we can learn from non-causal models offers a cautious middle ground between these two extremes. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Journal of the History of Philosophy 41.1 (2003) 128-129 [Access article in PDF] Robert Crocker, editor. Religion, Reason and Nature in Early Modern Europe. Dordrecht: Kluwer, 2001. Pp. xix + 228. Cloth, $77.00. By describing the early modern period as such, we thereby avow a continuity with it that ill squares with the following, insufficiently appreciated fact. The early modern counterparts of the largely atheistic American Philosophical Association, let's (...) say, were to an even greater degree theistic, and, moreover, theism affected their description and explanation of the world in a profound way—certainly more so than it does their few theistic descendents. This is true even of authors, like Hobbes and Spinoza, who might be read as leading to later atheism. The fact of early modern theism and its centrality in early modern philosophy and science are amply demonstrated in one after another of the eleven essays of this book.An emblematic figure is Robert Boyle, who figures as a main player in three of the essays, and is at least mentioned in five of the others. Lotte Mulligan, for example, investigates the role of "right reason" in Boyle's argument that religion is illuminated and made [End Page 128] plausible by metaphorically expressed analogies with natural philosophy, and conversely. The upshot is that only the "Christian Virtuoso," endowed with right reason whereby he is inspired to notice and express these analogies, was in a position to interpret the codes expressed both in the book of revelation and in the book of nature, one being incomplete without the other.Luisa Simonutti treats Boyle's engagement with the theological and scientific work of Spinoza through Spinoza's correspondence with Oldenburg. And G. A. J. Rogers deploys the work of Boyle, as well as of Locke, Newton, and the Cambridge Platonists, against the once-standard view (vide Butterfield) that "a major feature of the seventeenth-century was a secularization of knowledge." (Given just the other papers in this volume, this may seem like shooting fish in a barrel. Even so, perhaps one or two of the shots appear to miss. Newton seems proleptically to answer Hume's skepticism about induction by invoking, not divine simplicity, but an argument to the best explanation.)These papers overlap with two others, forming the core of the book. Sarah Hutton and Robert Crocker take on Cambridge Platonism. The former deals with Ralph Cudworth's rejection of Cartesian voluntarism in favor of an intellectualism of goodness and wisdom that grounds both the providential governance of the world and its intelligibility to human inquiry. The latter deals with Henry More's doctrine of the soul's pre-existence, a prima facie unlikely doctrine, but one that is less problematic, according to More, than the orthodox alternatives (creationism and traducianism).Three other papers fall outside this core, but their topics are no less relevant. Perhaps the most undeniable connection between the natural and the supernatural is to be found in Grotius, here studied by Jacqueline Lagree. Likely the most unexpected player will be the eccentric esprit fort, Cyrano de Bergerac. His work of nearly pure fantasy, in the Rabelaisian tradition, might well have made later, more serious heterodoxies possible. James E. Force provides a nice case study in Newton's reliance on what he took to be providentially guided comets as sources for the replenishment of otherwise declining celestial motion and matter (a line which, ironically, was picked up by Hume as a premise of an argument designed to undo the argument from design). Richard H. Popkin outlines three views of Judaism in the period. There is little connection with nature, but an important one with reason via a problem that exercised Cudworth and Newton: most peoples are polytheistic despite the clear monotheism of revelation. One theory had it that Judaism was the original, pure religion, which degenerated into various forms of paganism. But this degeneracy was soon read by the English deists such that originally there was a natural religion, of which Judaism and all others were a degeneration. Transmitted to the Enlightenment by Spinoza... (shrink)

This paper addresses the role of analogical reasoning in archaeoastronomy - the discipline which studies the connections between the ancient monuments and the heavens. Archaeoastronomy is a highly interdisciplinary science, placed at the border between the humanities – especially archaeology – and the scientific approach to cultural heritage. As a consequence, its scientific foundations are a delicate matter. We plan to investigate here the question of what constitutes the evidence for analogical inferences in archaeoastronomy and (...) to what extent one can achieve confirmation of archaeoastronomical hypotheses by means of such analogies. Our claim will be that, when deployed in accordance with the methodology articulated in this paper, analogies can be a highly effective epistemic tool for generating and supporting hypotheses about the relation of archaeological sites with astronomical events. (shrink)

In _Historia animalium_ VIII 1.588a18 ff., Aristotle describes the cognitive powers of non-human animals as sketches of human cognitive powers. According to the wording he chooses here, the cognitive powers of non-human animals are “traces” or “footprints” (ἴχνη, 588a19) of human ones. In this paper I explore the conceptual framework that lays behind this image, in order to show that it is much more than a rhetorical figure, and that Aristotle’s wording encompasses a whole articulated theory, whose details are set (...) out in _De anima_ and the _Parva naturalia_. Moreover, I try to clarify some technicalities of the scientific model he devises in order to explain certain features of the sensory-perceptual part of the soul (with particular attention to the perception of the so-called “common” and “incidental” sensory items) that bear a real analogy to the functions of reason and intellect, and that can consequently be considered their precursors. (shrink)

One major facilitator of analogical reasoning is conceptual metaphor: cross-domain mappings that preserve relations and thereby motivate the extension of linguistic terms from the source to the target domain. Their conscious and explicit use in analogical reasoning has been helpful and productive in disciplines ranging from physics to psychology, and philosophy. At the same time, students of metaphor have suggested that partially unwitting use of conceptual metaphors led to unsound but intuitive conceptions of the mind, in (...) philosophy and psychology. This paper develops an explanation of some highly influential intuitions from the philosophy of mind, which helps answer the resulting question: When and why does the frequently helpful use of metaphors in analogical reasoning turn pernicious? In response, the paper brings together two hitherto largely distinct strands of research from cognitive psychology, in a case-study on the philosophy of mind: The paper uses structure-mapping theory to explain how simple analogical reasoning generates conceptual metaphors that facilitate more complex analogical reasoning, which is often non-intentional. Second, the paper examines how such reasoning interacts with partial-matching effects in memory-based processing. Drawing on Budiu and Anderson’s model of “information-based processing”, the paper shows that this interaction leads to predictable fallacies. It brings out the relevance of such fallacies by showing that they shaped introspective conceptions of the mind that dominated philosophical discourse throughout early modernity and retain some cultural influence to this day. On this basis, the paper delineates when and where those fallacies are liable to occur. (shrink)

In this introduction, I motivate the project of examining certain resonances between ancient skeptical positions, especially Pyrrhonism, and positions in contemporary epistemology, with special attention to recent work in the epistemology of science. One such resonance concerns the idea of suspension of judgment or belief in certain contexts or domains of inquiry, and the reasons for (or processes eventuating in) suspension. Another concerns the question of whether suspension of belief in such circumstances is voluntary, in any of the senses discussed (...) in current work on voluntarism in epistemology, which informs recent discussions of how voluntarism regarding epistemic stances may shed light on positions like scientific realism and antirealism. The aim of this special issue is thus to explore certain analogies and disanalogies between ancient and contemporary debates about skepticism, and to consider whether and to what extent the former can provide insight into the latter. (shrink)

In his book The Unfinished Project, Lorenzo Simpson articulates a hermeneutical model for understanding across difference that stresses the importance of analogies. While noting much that is helpful in his account, in this paper I question Simpson’s emphasis on analogical reasoning. After detailing Simpson’s approach, I explore some problems with analogies as a route to understanding. I examine some assumptions behind the idea that one must analogize from what one already understands in order to expand thatunderstanding. In particular (...) I argue that, while in some cases it can be helpful, it is not necessary to use analogies in order to understand another who does not share one’s social position, culture, or worldview, and, perhaps more importantly, it is never sufficient. Moreover, attempting to locate correspondences between oneself and another may in some cases undermine the ability toform the kind of practical relationship that understanding across difference requires. Understanding another is best described, not as requiring analogies between self and other, but rather as requiring a practical relation, a type of relation that I will detail further in the second half of this paper. (shrink)

Paul Russell begins his book by rightly noting, “almost all commentators over the past two and a half centuries have agreed that Hume’s intentions in the Treatise should be interpreted in terms of two general themes: skepticism and naturalism” (vii). The skeptical reading interprets Hume’s principal aim as showing that “our ‘common sense beliefs’ (e.g. belief in causality, independent existence of bodies, in the self, etc.) lack any foundation in reason” (4). The naturalist reading interprets Hume’s aims according to (...) the “science of man,” derived from experience and observation. As described in the Introduction to the Treatise, this science is meant to explain the “principles of human nature” and thereby put the other sciences “on a foundation entirely new, and the only one upon which they can stand with any security.” The “riddle” of the Treatise is how to understand the relationship between the skeptical and naturalistic dimensions of the work—dimensions that “seem to be equally essential to what [Hume] is trying to achieve,” but which nevertheless appear “inherently opposed and irreconcilable” (7). Russell puts forward a novel and challenging solution. He argues that the relationship of the skepticism and naturalism in the Treatise can be made intelligible when we see that “it is problems of religion broadly conceived, that hold the contents of the Treatise together as a unified work” (viii). “More specifically,” he goes on, “the direction and structure of Hume’s thought in the Treatise is shaped on one side by his attack on the Christian metaphysics and morals and on the other by his efforts to construct in its place a secular, scientific account of morality.” ...It is difficult to do justice in such a short review to the sophistication of Russell’s analyses. To take one of many examples, Russell explains how Hume’s theory of ideas, rather than something simply adopted from Locke and Berkeley, instead follows Hobbes and expresses irreligious intentions by defending skepticism about our knowledge of God. Russell shows how religious thinkers tried to respond to the claim made by Hobbes that we have no idea of God. Either they insisted that we have knowledge of God through reason rather than through the senses, or they defended the view that our idea of God comes from analogy with ideas of ourselves and of nature. Hume is largely silent about our idea of God, but it is clear, as Russell argues, that he is aware of these debates and that his theory knowingly undermines claims by religious thinkers to possess knowledge of God. We have no simple impressions from which we can derive the idea of God, nor do we have ideas of the divine attributes (power, unity, intelligence, etc.) sufficient to provide us with a clear idea of the divinity. ..... Any criticisms of The Riddle of Hume’s Treatise, however, must be placed within the broader take-away: this book is a triumph and a model for work in the history of philosophy. It offers a powerful reading of the Treatise and of Hume’s intentions in writing it, while also correct- ing common misunderstandings about Hume’s place in early modern thought. It deserves to be read by anyone interested in Hume or in early modern philosophy. (shrink)

Starting with the hypothesis that analogical reasoning consists of a search of semantic space, we used eye-tracking to study the time course of information integration in adults in various formats of analogies. The two main questions we asked were whether adults would follow the same search strategies for different types of analogical problems and levels of complexity and how they would adapt their search to the difficulty of the task. We compared these results to predictions from the (...) literature. Machine learning techniques, in particular support vector machines (SVMs), processed the data to find out which sets of transitions best predicted the output of a trial (error or correct) or the type of analogy (simple or complex). Results revealed common search patterns, but with local adaptations to the specifics of each type of problem, both in terms of looking-time durations and the number and types of saccades. In general, participants organized their search around source-domain relations that they generalized to the target domain. However, somewhat surprisingly, over the course of the entire trial, their search included, not only semantically related distractors, but also unrelated distractors, depending on the difficulty of the trial. An SVM analysis revealed which types of transitions are able to discriminate between analogy tasks. We discuss these results in light of existing models of analogical reasoning. (shrink)

The term conceptual simulation refers to a type of everyday reasoning strategy commonly called “what if” reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little direct evidence exists to support this claim. This article proposes that conceptual simulation is likely to be used in situations of informational uncertainty, and may be used to help scientists resolve that uncertainty. We conducted two studies (...) to investigate the relationship between conceptual simulation and informational uncertainty. Study 1 was an in vivo study of expert scientists; the results suggest that scientists do use conceptual simulation in situations of informational uncertainty, and that they use conceptual simulation to make inferences from their data using the analogical reasoning process of alignment by similarity detection. Study 2 experimentally manipulated experts' level of uncertainty and provides further support for the hypothesis that conceptual simulation is more likely to be used in situations of informational uncertainty. Finally, we discuss the relationship between conceptual simulation and other types of reasoning using qualitative mental models. (shrink)

Analogies between classical statistical mechanics and quantum field theory played a pivotal role in the development of renormalization group methods for application in the two theories. This paper focuses on the analogies that informed the application of RG methods in QFT by Kenneth Wilson and collaborators in the early 1970's. The central task that is accomplished is the identification and analysis of the analogical mappings employed. The conclusion is that the analogies in this case study are formal analogies, and (...) not physical analogies. That is, the analogical mappings relate elements of the models that play formally analogous roles and that have substantially different physical interpretations. Unlike other cases of the use of analogies in physics, the analogical mappings do not preserve causal structure. The conclusion that the analogies in this case are purely formal carries important implications for the interpretation of QFT, and poses challenges for philosophical accounts of analogical reasoning and arguments in defence of scientific realism. Analysis of the interpretation of the cutoffs is presented as an illustrative example of how physical disanalogies block the exportation of physical interpretations from from statistical mechanics to QFT. A final implication is that the application of RG methods in QFT supports non-causal explanations, but in a different manner than in statistical mechanics. (shrink)

1. Introduction : humanity's urge to understand -- 2. Elements of scientific thinking : skepticism, careful reasoning, and exhaustive evaluation are all vital. Science Is universal -- Maintaining a critical attitude. Reasonable skepticism -- Respect for the truth -- Reasoning. Deduction -- Induction -- Paradigm shifts -- Evaluating scientific hypotheses. Ockham's razor -- Quantitative evaluation -- Verification by others -- Statistics : correlation and causation -- Statistics : the indeterminacy of the small -- Careful (...) definition -- Science at the frontier. When good theories become ugly -- Stuff that just does not fit -- 3. Christopher Columbus and the discovery of the "Indies" : it can be disastrous to stubbornly refuse to recognize that you have falsified your own hypothesis -- 4. Antoine Lavoisier and Joseph Priestley both test the befuddling phlogiston theory : junking a confusing hypothesis may be necessary to clear the way for new and productive science -- 5. Michael Faraday discovers electromagnetic induction but fails to unify electromagnetism and gravitation : it is usually productive to simplify and consolidate your hypotheses -- 6. Wilhelm Röntgen intended to study cathode rays but ended up discovering X-rays : listen carefully when Mother Nature whispers in your ear : she may be leading you to a Nobel Prize -- 7. Max Planck, the first superhero of quantum theory, saves the universe from the ultraviolet catastrophe : assemble two flawed hypotheses about a key phenomenon into a model that fits experiment exactly and people will listen to you even if you must revolutionize physics -- 8. Albert Einstein attacks the problem "Are atoms real?" from every angle : solving a centuries-old riddle in seven different ways can finally resolve it -- 9. Niels Bohr models the hydrogen atom as a quantized system with compelling exactness, but his later career proves that collaboration and developing new talent can become more significant than the groundbreaking research of any individual -- 10. Conclusions, status of science, and lessons for our time. Conclusions from our biographies -- What thought processes lead to innovation? -- Is the scientist an outsider? -- The status of the modern scientific enterprise -- Lessons for our time -- Can the scientific method be applied to public policy? -- Why so little interest in science? -- Knowledge is never complete. (shrink)

Concept formation in science is a reasoned process, commensurate with ordinary problem-solving processes. An account of how analogical reasoning and reasoning from imagistic representations generate new scientific concepts is presented. The account derives from case studies of concept formation in science and from computational theories of analogical problem solving in cognitive science. Concept formation by analogy is seen to be a process of increasing abstraction from existing conceptual structures.

Using an analogy in science and everyday life is a double-edged sword because they are accompanied by alternative ideas, in addition to scientific concepts. Schools and public education explain global warming by making a common analogy between this phenomenon and greenhouse effects. Unfortunately, this analogy sometimes produces various incorrect explanatory mental models. To construct a correct understanding of global warming, it is necessary: first, to investigate the attributes of analogical reasoning; second, to understand these features by restructuring (...) the greenhouse analogy; and third, to explore the problems and benefits of the greenhouse analogy. The characteristics of relations, rather than objects, must be mapped according to the principle of systematicity, but the public tends to preserve the attributes of the base domain, which is mapped relatively easily. In conclusion, certain facets of the prevailing greenhouse analogy cause a distorted public view of climate change. We must use the greenhouse analogy and yet simultaneously emphasize the relations and attributes highlighted and hidden in the analogy during evaluation. (shrink)

Inferentialists about scientific representation hold that an apparatus’s representing a target system consists in the apparatus allowing “surrogative inferences” about the target. I argue that a serious problem for inferentialism arises from the fact that many scientific theories and models contain internal inconsistencies. Inferentialism, left unamended, implies that inconsistent scientific models have unlimited representational power, since an inconsistency permits any conclusion to be inferred. I consider a number of ways that inferentialists can respond to this (...) challenge before suggesting my own solution. I develop an analogy to exploitable glitches in a game. Even though inconsistent representational apparatuses may in some sense allow for contradictions to be generated within them, doing so violates the intended function of the apparatus’s parts and hence violates representational “gameplay.”. (shrink)

According to the received view, the transportation view, animal extrapolation consists in inductive prediction of the outcome of a mechanism in a target, based on an analogical mechanism in a model. Through an analysis of the failure of preclinical studies of TGN1412, an innovative drug, to predict the tragic consequences of its first-in-man trial in 2006, the received view is challenged by a proposed view of animal extrapolation, the chimera view. According to this view, animal extrapolation (...) is based on a hypothesis about how human organisms work, supported by the amalgamation of results drawn from various experimental organisms, and only predicting the ‘predictive grid’, that is, a global framework of the effects to be expected. (shrink)

Arguments from analogy are pervasive in everyday reasoning, mathematics, philosophy, and science. Informal logic studies everyday argumentation in ordinary language. A branch of fuzzy logic, approximate reasoning, seeks to model facets of everyday reasoning with vague concepts in ill-defined situations. Ways of combining the results from these fields will be suggested by introducing a new argumentation scheme—a fuzzy analogical argument from classification—with the associated critical questions. This will be motivated by a case study of analogical (...) reasoning in the virtual friendship debate within information ethics. The virtual friendship debate is a disagreement over whether virtual friendships are genuine friendships. It will be argued that the debate could move away from its current impasse, caused by unproductive metaphysical and logical assumptions, if extant arguments are reinterpreted as fuzzy analogical arguments from classification, and subjected to a new set of critical questions which would replace the quest for facts of essence about friendship with an emphasis on empirical data, persuasion, and definitional power. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:"Divine Person" as Analogous NameDylan SchraderThe position of St. Thomas Aquinas and the Thomistic school that human beings cannot name God and creatures univocally is well-known.1 This includes the term "person," which is predicated of the Trinity, of angels, and of human beings truly but analogically. In contrast, it might seem that, when speaking of the Father, Son, and Holy Spirit in respect of one another, "divine person" must (...) be univocal.2 [End Page 217]The seventeenth-century Discalced Carmelites of Salamanca (the Salmanticenses) thought otherwise. They argued that the ratio3 of "divine person" is common to the Father, Son, and Holy Spirit not univocally, but analogically, and that this follows from established Thomistic principles.4 Their position makes for an interesting case study in religious language, as the Salmanticenses apply a highly developed material logic to the central mystery of Christian faith.Words, Concepts, and ThingsIn On Interpretation (Peri hermeneias), Aristotle explains that words immediately signify concepts and, by means of concepts, things.5 This so-called "semantic triangle" makes it easy to misunderstand univocity and analogy if we do not first determine how a particular thinker conceives of the relationship among words, concepts, and things. To discern how the Salmanticenses understood this relationship, it is most helpful to look to their counterparts, the Discalced Carmelites at neighboring Alcalá de Henares outside Madrid, commonly called the Complutenses.6 The Complutenses' Artium cursus [End Page 218] serves as philosophical handmaid to the Salmanticenses' Cursus theologicus, and is therefore essential for correctly interpreting the latter's claims about grammar, logic, and metaphysics.7To begin with the verbal element, this is how the Complutenses, following a fairly typical account, explain the difference between a vocal sound, a name, and a term: A vocal sound (vox) is speech considered simply as an audible phenomenon, the pure sound wave. A name (nomen) is a vocal sound that signifies something. A term (terminus) is a name insofar as it serves as one end of a proposition.8 Terms may be purely mental (as when a proposition is conceived of in the mind alone), or they may be spoken or written.Names and terms are useful precisely because they signify. The Complutenses define "signifying" (significare) as "representing to the knowing power something other than [the signifier] itself."9 A name or term points beyond itself so that something else can become known to the mind through that name or term.When it comes to spoken (or written) terms, a term is "common" (communis) if it signifies more than one thing. Common terms may be "non-transcendent" (non transcendens) or "transcendent" (transcendens). Common terms are non-transcendent if they are predicated of certain things (such as "man" or "animal"). They are transcendent if they are predicated of all things. Six terms are usually acknowledged to be transcendent: "being" (ens); "thing" (res); "true" (verum); "good" (bonum); "something" (aliquid); and "one" (unum).10 [End Page 219]Here it is necessary to distinguish first and second "intention" (intentio).11 The Carmelites take "first intention" properly to be the act whereby the intellect knows things in accord with what is in them as realities.12 This act of the intellect is the "formal first intention," while the thing known is the "objective first intention." A name signifying a thing in this way is a "name of first intention."But the intellect can also attend to those things not in accord with what is in them from their own perspective as realities, but instead with reference to their character as acted upon by the intellect itself. This act is called "second intention."13 An example of first intention is the intellect's knowing that "man is an animal," whereas an example of second intention is its knowing that "'animal' is a genus."The Complutenses stress that first and second intention are, properly speaking, acts of the intellect—distinct ways of attending to what it knows—even though logicians often use "first intention" and "second intention" as shorthand to refer to the objects of these acts.14 In fact, because objective second intentions (the objects of the intellect's second-intentional acts) are beings of reason... (shrink)

The value of knowledge and deeds of the methodology of the reasoning defined such as “due to they have a common effective cause (ʿilla), the provision of principle (aṣl) is given to the branch (farʿ)” has been the subject of debate from the first period. That is, on the one hand there are some who reject the method of analogical reasoning by saying that although the authority of legislation belongs to Shāri’only, this method is to make legislation (...) in the religion and that its value in knowledge is condemned as conjecture by the injunction (naṣṣ). They also put forward some arguments as well. However, on the other hand the majority accepts the method of reasoning as an essential and sharʿī (religious) argument. This study will not compare the opinions of those who reject qiyās and that of those who approve it. By means of religious and rational evidences this study will deal with that the method of analogical reasoning is not a rational effort simply, that the knowledge gained by it is not a conjecture criticised by the injunctions, that it is the highest ranking conjecture based on the proof, and that it is sufficient to practice in the field of law. After a general frame is drawn about qiyās, this article has been limited with the place of qiyās in the hierarchy of evidence and its value concerning knowledge and practice. This article wants to clarify the discussions related to the value of knowledge and deeds of the methodology of the reasoning. (shrink)

By Parallel Reasoning is the first comprehensive philosophical examination of analogical reasoning in more than forty years designed to formulate and justify standards for the critical evaluation of analogical arguments. It proposes a normative theory with special focus on the use of analogies in mathematics and science. In recent decades, research on analogy has been dominated by computational theories whose objective has been to model analogical reasoning as a psychological process. These theories have devoted (...) little attention to normative questions. In this book Bartha proposes that a good analogical argument must articulate a clear relationship that is capable of generalization. This idea leads to a set of distinct models for the critical analysis of prominent forms of analogical argument. The same core principle makes it possible to relate analogical reasoning to norms and values of scientific practice. Reasoning by analogy is justified because it strikes an optimal balance between conservative values, such as simplicity and coherence, and progressive values, such as fruitfulness and theoretical unification. Analogical arguments are also justified by appeal to symmetry--like cases are to be treated alike. In elaborating the connection between analogy and these broad epistemic principles, By Parallel Reasoning offers a novel contribution to explaining how analogies can play an important role in the confirmation of scientific hypotheses. (shrink)

In both the _Treatise and the first _Enquiry, Hume offers an argument from analogy comparing how humans and animals make causal inferences. Yet in these and other texts, he suggests that there are certain differences between human and animal reasoning. This paper discusses Hume's argument from analogy, and examines how Hume can argue for differences in human and animal reasoning without having to attribute to either a special capacity that the other lacks. Hume's empiricism and his (...) claims about sympathy also give him good reason to hold that in animals just as in humans, reason is a virtue. (shrink)

The purpose of this article is to invigorate debate concerning the nature of analogy, and to broaden the scope of current conceptions of analogy. We argue that analogizing is not a single or even a fundamental cognitive process. The argument relies on an analysis of the history of the concept of analogy, case studies on the use of analogy in scientific problem solving, cognitive research on analogy comprehension and problem solving, and a survey of computational mechanisms of analogy comprehension. (...) Analogizing is regarded as a macrocognitive phenomenon having a number of supporting processes. These include the apperception of resemblances and distinctions, metaphor, and the balancing of semantic flexibility and inference constraint. Psychological theories and computational models have generally relied on (a) a sparse set of ontological concepts (a property called “similarity” and a structuralist categorization of types of semantic relations), (b) a single form category (i.e., the classic four-term analogy), and (c) a single set of morphological distinctions (e.g., verbal vs. pictorial analogies). This article presents a classification based on a “naturalistic” exploration of the variety of uses of analogical reasoning in pragmatically distinct contexts. The resultant taxonomy distinguishes pre-hoc, ad-hoc, post-hoc, pro-hoc, contra-hoc, and trans-hoc analogy. Each will require its own macrocognitive modeling, and each presents an opportunity for research on phenomena of reasoning that have been neglected. (shrink)

In order to make scientific results relevant to practical decision making, it is often necessary to transfer a result obtained in one set of circumstances—an animal model, a computer simulation, an economic experiment—to another that may differ in relevant respects—for example, to humans, the global climate, or an auction. Such inferences, which we can call extrapolations, are a type of argument by analogy. This essay sketches a new approach to analogical inference that utilizes chain graphs, which resemble (...) directed acyclic graphs (DAGs) except in allowing that nodes may be connected by lines as well as arrows. This chain graph approach generalizes the account of extrapolation I provided in my (2008) book and leads to new insights that integrate the contributions of the other participants of this symposium. More specifically, this approach explicates the role of “fingerprints,” or distinctive markers, as a strategy for avoiding an underdetermination problem having to do with spurious analogies. Moreover, it shows how the extrapolator’s circle, one of the central challenges for extrapolation highlighted in my book, is closely tied to distinctive markers and the Markov condition as it applies to chain graphs. Finally, the approach suggests additional ways in which investigations of a model can provide information about a target that are illustrated by examples concerning nanomaterials in sunscreens and Wendy Parker’s discussion of fingerprints in climate science. (shrink)

Social norms – rules governing which behaviours are deemed appropriate or inappropriate within a given community – are typically taken to be uniquely human. Recently, this position has been challenged by a number of philosophers, cognitive scientists, and ethologists, who have suggested that social norms may also be found in certain non-human animal communities. Such claims have elicited considerable scepticism from norm cognition researchers, who doubt that any non-human animals possess the psychological capacities necessary for normative cognition. However, there (...) is little agreement among these researchers about what these psychological prerequisites are. This makes empirical study of animal social norms difficult, since it is not clear what we are looking for and thus what should count as behavioural evidence for the presence (or absence) of social norms in animals. To break this impasse, we offer an approach that moves beyond contested psychological criteria for social norms. This approach is inspired by the animal culture research program, which has made a similar shift away from heavily psychological definitions of ‘culture’ and to become organized around a cluster of more empirically tractable concepts of culture. Here, we propose an analogous set of constructs built around the core notion of a normative regularity, which we define as a socially maintained pattern of behavioural conformity within a community. We suggest methods for studying potential normative regularities in wild and captive primates. We also discuss the broader scientific and philosophical implications of this research program with respect to questions of human uniqueness, animal welfare and conservation. (shrink)

Building upon work by Mary Hesse (1974), this paper aims to show that a single method of investigation lies behind Maxwell’s use of physical analogies in his major scientific works before the Treatise on Electricity and Magnetism. Key to understanding the operation of this method is to recognize that Maxwell’s physical analogies are intended to possess an ‘inductive’ function in addition to an ‘illustrative’ one. That is to say, they not only serve to clarify the equations proposed for an (...) unfamiliar domain with a working interpretation drawn from a more familiar science, but can also be sources of defeasible yet relatively strong arguments from features of the more familiar domain to features of the less. Compared with the reconstructions by Achinstein (1991), Siegel (1991), Harman (1998) and others, which postulate a discontinuity in Maxwell’s approach to physical analogy, the account defended in this paper i) makes sense of the continuity in Maxwell’s remarks on scientific methodology, ii) explains his quest for a “mathematical classification of physical quantities” and iii) offers a new and more plausible interpretation of the debated episode of the introduction of the displacement current in Maxwell’s “On Physical Lines of Forces”. (shrink)

Model transfer is the scientific practice of taking a model which was initially applied in one particular kind of target system in some particular scientific domain and applying it to represent a novel target system in a novel scientific domain. This paper motivates a realist interpretation of empirically successful model transfers and the implications of such an interpretation for the metaphysics of science. The paper uses two examples of empirically successful model transfer, the first of which is (...) a strikingly successful recent application of the Ising model to neurobiology, the second of which is Maxwell’s “method of physical analogy”. The paper first defends the need for a realist picture regarding the transfer of model templates and the apparent discovery of physical analogies. Then, it examines further the implications of such a picture, finding it to be quite revisionary in its conception of the nature of causal processes. (shrink)

Many philosophers have drawn parallels between scientific models and fictions. In this paper I will be concerned with a recent version of the analogy, which compares models to the imagined characters of fictional literature. Though versions of the position differ, the shared idea is that modeling essentially involves imagining concrete systems analogously to the way that we imagine characters and events in response to works of fiction. Advocates of this view argue that imagining concrete systems plays an ineliminable role (...) in the practice of modeling that cannot be captured by other accounts. The approach thus leaves open what we should say about the ontological status of model-systems, and here advocates differ among themselves, defending a variety of realist or anti-realist positions. I argue that this debate over the ontological status of model-systems is misguided. If model-systems are the kinds of objects fictional realists posit, they can play no role in explaining the epistemology of modeling for an advocate of this approach. So they are at best superfluous. Defenders of the approach should focus on developing an account of the epistemological role of imagining model-systems. (shrink)

How do vague notions about how one might understand certain physical phenomena get transformed into scientific concepts such as “field”, “quark”, and “gene”? Philosophers of as disparate views as Reichenbach and Feyerabend have held that the process through which scientific concepts emerge is not a reasoned process. In a manner completely mysterious and unanalyzable, scientific concepts emerge fully grown, like Athena from the head of Zeus. However, when one examines actual cases of concept formation in science, (...) a different picture can be painted: Scientific concepts do not pop out of heads, but are constructed in response to specific problems by utilizing methods appropriate to the solution of the problem. Thus, as with other aspects of the scientific enterprise, concept formation is a problem-solving process that involves the application of systematic procedures in the attempt to solve specific problems. It is a reasoned process. (shrink)

Recent accounts of scientific method suggest that a model, or analogy, for an axiomatized theory is another theory, or postulate set, with an identical calculus. The present paper examines five central theses underlying this position. In the light of examples from physical science it seems necessary to distinguish between models and analogies and to recognize the need for important revisions in the position under study, especially in claims involving an emphasis on logical structure and similarity in form between theory (...) and analogy. While formal considerations are often relevant in the employment of an analogy they are neither as extensive as proponents of this viewpoint suggest, nor are they in most cases sufficient for allowing analogies to fulfill the roles imputed to them. Of major importance, and what these authors generally fail to consider, are physical similarities between analogue and theoretical object. Such similarities, which are characteristic in varying degrees of most analogies actually employed, play an important role in affording a better understanding of concepts in the theory and also in the development of the theoretical assumptions. (shrink)

Since Darwin, the idea of psychological continuity between humans and other animals has dominated theory and research in investigating the minds of other species. Indeed, the field of comparative psychology was founded on two assumptions. First, it was assumed that introspection could provide humans with reliable knowledge about the causal connection between specific mental states and specific behaviors. Second, it was assumed that in those cases in which other species exhibited behaviors similar to our own, similar psychological causes were (...) at work. In this paper, we show how this argument by analogy is flawed with respect to the case of second‐order mental states. As a test case, we focus on the question of how other species conceive of visual attention, and in particular whether chimpanzees interpret seeing as a mentalistic event involving internal states of perception, attention, and belief. We conclude that chimpanzees do not reason about seeing in this manner, and indeed, there is considerable reason to suppose that they do not harbor representations of mental states in general. We propose a reinterpretation model in which the majority of the rich social behaviors that humans and other primates share in common emerged long before the human lineage evolved the psychological means of interpreting those behaviors in mentalistic terms. Although humans, chimpanzees, and most other species may be said to possess mental states, humans alone may have evolved a cognitive specialization for reasoning about such states. (shrink)