We investigate the way physical laws objectively refer to the entities they are about. Laws of mathematical physics do not refer directly to the “real world” but to an ideal specific domain of objects, which we term “scope”. In order to find out which real objects physical laws deal with, reference to the scope is not sufficient. We need in addition the search for domains to which laws apply — i. e. “empirical domains”— in order to establish their reference to (...) the “real world”. It is just in such empirical domains that we are able to discover the real entities physical laws objectively refer to. “Physical reality” turns out to be not something “given” but rather something “to come out” of the very process of scientific inquiry. (shrink)

Two views of scientific theories dominated the philosophy of science during the twentieth century, the syntactic view of the logical empiricists and the semantic view of their successors. I show that neither view is adequate to provide a proper understanding of the connections that exist between theories at different times. I outline a new approach, a hybrid of the two, that provides the right structural connection between earlier and later theories, and that takes due account of the importance of the (...) mathematical models of a theory and of the various distinct formulations that pick out these models. (shrink)

This article explores whether theory-ladenness makes empirical testing an inse cure foundation for objectivity. Specifically, this article uses path diagrams as visual heuristics to assist in (1) developing a parsimonious representation of the traditional empiricist view of empirical testing, (2) showing how the "New Image" view ostensibly threatens the objectivity of science, (3) proposing a unified, realist theory of empirical testing, (4) developing a representation of the unified theory, (5) exploring several potential threats to objectivity, (6) discussing the proposed theory's (...) implications for social science, and (7) adumbrating three foundational premises for scientific realism. (shrink)

Most contemporary philosophers of mind claim to be in search of a 'naturalistic' theory. However, when we look more closely, we find that there are a number of different and even conflicting ideas of what would count as a 'naturalization' of the mind. This article attempts to show what various naturalistic philosophies of mind have in common, and also how they differ from one another. Additionally, it explores the differences between naturalistic philosophies of mind and naturalisms found in ethics, epistemology, (...) and philosophy of science. Section 1 introduces a distinction between two types of project that have been styled 'naturalistic', which I call philosophical naturalism and empirical naturalism . Sections 2 to 6 canvass different strands of philosophical naturalism concerning the mind, followed by a much briefer discussion of attempts to provide empirical naturalizations of the mind in Section 7 . Section 8 concludes the essay with a consideration of the relations between philosophical and empirical naturalism in philosophy of mind, arguing that at least some types of philosophical naturalism are incompatible with empirical naturalism. (shrink)

In his bookMinimal Rationality (1986), Christopher Cherniak draws deep and widespread conclusions from our finitude, and not only for philosophy but also for a wide range of science as well. Cherniak's basic idea is that traditional philosophical theories of rationality represent idealisations that are inaccessible to finite rational agents. It is the purpose of this paper to apply a theory of idealisation in science to Cherniak's arguments. The heart of the theory is a distinction between idealisations that represent reversible, solely (...) quantitative simplifications and those that represent irreversible, degenerate idealisations which collapse out essential theoretical structure. I argue that Cherniak's position is best understood as assigning the latter status to traditional rationality theories and that, so understood, his arguments may be illuminated, expanded, and certain common criticisms of them rebutted. The result, however, is a departure from traditional, formalist theories of rationality of a more radical kind than Cherniak contemplates, with widespread ramifications for philosophical theory, especially philosophy of science itself. (shrink)

Heisenberg, in constructing quantum mechanics, explicitly followed certain principles exemplified, as he believed, in Einstein's construction of the special theory of relativity which for him was the paradigm for radical theoretic change in physics. These were the principles of scientific realism, stability of background knowledge, E-observability, contextual re-interpretation, pragmatic continuity, model continuity, simplicity. Fifty years later, in retrospect, Heisenberg added the following two: a principle of non-proliferation of competing theories - scientific revolutions are not a legitimate goal of physics - (...) and a principle of tenacity - existing theories are to be conserved as far as possible. The conservative as well as the revolutionary potential of these principles is then discussed. A more penetrating philosophical criticism of these principles is postponed. (shrink)

Theoretical works in economics usually have a core consisting of proofs that a “model-economy” has certain properties. The economist constructs a model that can be looked on as a description of an economy, and then proves that certain relations hold in this economy and/or that certain relations in this economy depend on certain specific characteristics. The model-economy is usually described as simplified or idealized.

According to the semantic view of scientific theories, theories are classes of models. I show that this view -- if taken seriously as a formal explication -- leads to absurdities. In particular, this view equates theories that are truly distinct, and it distinguishes theories that are truly equivalent. Furthermore, the semantic view lacks the resources to explicate interesting theoretical relations, such as embeddability of one theory into another. The untenability of the semantic view -- as currently formulated -- threatens to (...) undermine scientific structuralism. (shrink)

Halvorson argues that the semantic view of theories leads to absurdities. Glymour shows how to inoculate the semantic view against Halvorson's criticisms, namely by making it into a syntactic view of theories. I argue that this modified semantic-syntactic view cannot do the philosophical work that the original "language-free" semantic view was supposed to do.

The paper, in Part 1, is devoted to discussing the underlying logic and algebra of the classical mechanics and quantum mechanics, their syntax and semantics, the reasons for their differences and the diagrammatic representations of the two. This part of the paper also demonstrates that there are several puzzling characters of microphysical phenomena by alluding to the relevant details of the double-slit experiment. These counterintuitive results of the experiment make it difficult to explain the empirical success and realist commitments of (...) quantum mechanics. The second part, Part 2, of the paper is concerned with the question as to how conceptual schemes of scientists interact with the world such that the problem of new meaning and reference of the microphysical terms could be determined. The paper refrains from having a general discussion on Realism and do not venture into a comprehensive survey and critique of all known varieties of realistic interpretations. It selects only a few forms of realism (based on the reasons given) in investigating microphysical phenomena forming part of QM. These selected forms of realism explain how does conceptual scheme/terms in scientific theory hookup to the objects and their relations in the world based on the model-theoretic character of the scientific theory and causal rigidified descriptivism of scientific terms (vide Putnam) as well as scientist’s interaction with the world, say, in the “instrumental context of laboratory” (vide Heelan) such that the problem of meaning and reference could be resolved. The paper claims that convergence of the two views may result in a particular form of realism, the Hermeneuticized Internal Realism, appropriate for the science of microphysical phenomena. (shrink)

The ArgumentConflicts between scientists over credit for their discoveries are conflicts, not merely in, but of science because discovery is not a historical event, but a retrospective social judgment. There is no objective moment of discovery; rather, discovery is established by means of a hermeneutics, a way of reading scientific articles. The priority conflict between Roger Guillemin and Andrew Schally over the discovery of the brain hormone, TRF, serves as an example. The work of Robert Merton, Thomas Kuhn, Augustine Brannigan, (...) and Grygory Markus shows that scientists read scientific articles by means of the application of a set of pragmatic rules that subtend the normative requirements of what counts as a scientific discovery. In other words, there is a hermeneutics of science, but it is internal to that form of life. Recategorization of priority conflicts has an impact on our view of scientific controversy generally. The impact is the revision of the boundary lines of scientific controversy and the further specification of its fine-structure. (shrink)

Accounts of the relation between theories and models in biology concentrate on mathematical models. In this paper I consider the dual role of models as representations of natural systems and as a material basis for theorizing. In order to explicate the dual role, I develop the concept of a remnant model, a material entity made from parts of the natural system(s) under study. I present a case study of an important but neglected naturalist, Joseph Grinnell, to illustrate the extent to (...) which mundane practices in a museum setting constitute theorizing. I speculate that historical and sociological analyses of institutions can play a specific role in the philosophical analysis of model-building strategies. (shrink)

My target article did not attribute a pervasive ontological significance to phenomenology, so it escapes Bogdan's “epistemological illusion.” Pust correctly pinpoints an ambiguity between content-inclusive and content-exclusive forms of folk functionalism. Contrary to Fodor, however, only the former is plausible, and hence my third argument against functionalism remains a threat. Van Brakel's charity approach to first-person authority cannot deal with authority vis-a-vis sensations, and it has some extremely odd consequences.

Non-actual model systems discussed in scientific theories are compared to fictions in literature. This comparison may help with the understanding of similarity relations between models and real-world target systems. The ontological problems surrounding fictions in science may be particularly difficult, however. A comparison is also made to ontological problems that arise in the philosophy of mathematics.

Philosophers of science increasingly believe that much of science is concerned with understanding the mechanisms responsible for the production of natural phenomena. An adequate understanding of scientific research requires an account of how scientists develop and test models of mechanisms. This paper offers a general account of the nature of mechanical models, discussing the representational relationship that holds between mechanisms and their models as well as the techniques that can be used to test and refine such models. The analysis is (...) supported by study of two competing models of a mechanism of speech perception. (shrink)

In this paper I explore possibilities of bringing post-positivist philosophies of empirical science to bear on the dynamics of mathematical development. This is done by way of a convergent accommodation of a mathematical version of Lakatos's methodology of research programmes, and a version of Kuhn's account of scientific change that is made applicable to mathematics by cleansing it of all references to the psychology of perception. The resulting view is argued in the light of two case histories of radical conceptual (...) innovations. (shrink)

Everything you always wanted to know about structural realism but were afraid to ask Content Type Journal Article Pages 227-276 DOI 10.1007/s13194-011-0025-7 Authors Roman Frigg, Department of Philosophy, Logic and Scientific Method, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE UK Ioannis Votsis, Philosophisches Institut, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, Geb. 23.21/04.86, 40225 Düsseldorf, Germany Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number 2.

The semantic, or model-theoretic, approach to theories has recently come under criticism on two fronts: (i) it is claimed that it cannot account for the wide diversity of models employed in scientific practice—a claim which has led some to propose a “deflationary” account of models; (ii) it is further contended that the sense of “model” used by the approach differs from that given in model theory. Our aim in the present work is to articulate a possible response to these claims, (...) drawing on recent developments within the semantic approach itself. Thus, the first is answered by utilizing the notion of a “partial structure”, first introduced in this context by da Costa and French in 1990. The second claim is undermined by consideration of van Fraassen's understanding of “model” which corresponds well with that evinced by modem mathematicians. This latter discussion, in particular, has an impact on the continuing debate regarding the relative merits of the semantic and syntactic views and the developments presented here can be taken to provide further support to the former. (shrink)

In this essay I shall focus on the adoption of the Semantic Approach by structural realists, including myself, who have done so on the grounds that it wears its structuralist sympathies on its sleeve. Despite this, the SA has been identified as standing in tension with the ontological commitments of the so-called ’ontic’ form of this view and so I shall explore that tension before discussing the usefulness of the SA in framing scientific representation and concluding with a discussion of (...) the implications of the ontological status of theories and models themselves. (shrink)

Within evolutionary biology a distinction is frequently made between proximate and ultimate causes. One apparently plausible interpretation of this dichotomy is that proximate causes concern processes occurring during the life of an organism while ultimate causes refer to those processes (particularly natural selection) that shaped its genome. But ultimate causes are not sought through historical investigations of an organisms lineage. Rather, explanations referring to ultimate causes typically emerge from functional analyses. But these functional analyses do not identify causes of any (...) kind, much less ultimate ones. So-called ultimate explanations are not about causes in any sense resembling those of proximate explanations. The attitude, implicit in the term ultimate cause, that these functional analyses are somehow superordinate to those involving proximate causes is unfounded. Ultimate causes are neither ultimate nor causes. (shrink)

Near the end of the last century, some legal philosophers adapted the so called causal theories of reference to solve internal problems in legal theory. Among those philosophers, Nicos Stavropoulos adjusted Hilary Putnam’s semantic externalism claiming it as a better philosophical view than legal positivism defended by Herbert Hart. According to him, what determines the correct application of a legal rule must be determined by the objects themselves. In that case, what determines the reference of legal terms is an issue (...) to be solved by the best theory developed. However, this is not the case necessarily: Hart’s model can reach to the same conclusions as an externalist adjustment of law. Furthermore, the epistemic criteria required by Putnam to deal with value judgements are also acceptable in a positivist model. This paper presents the central thesis of Putnam’s semantic externalism, with Stavropoulos adaptations to law, and defends that Hart’s approach to deal with legal rules and Putnam’s approach to deal with language rules can converge. (shrink)

We have some justified beliefs about modal matters. A modal epistemology should explain what’s involved in our having that justification. Given that we’re realists about modality, how should we expect that explanation to go? In the first part of this essay, I suggest an answer to this question based on an analogy with games. Then, I outline a modal epistemology that fits with that answer. According to a theory-based epistemology of modality, you justifiably believe that p if you justifiably believe (...) a theory that says that p and you believe p on the basis of that theory. (shrink)

In empiricism, there are only two answers for a question: black or white. Yet, subjective meanings of human behaviours and responses toward health and illness cannot be simply explained with black and white. Gray zones are needed because they are characterized by complexity and require a contextual understanding. In this paper, we present and suggest fuzzy logic as an example of theoretical bases that help transcend the conflicts between objectivity and subjectivity, respect gray zones between black and white answers for (...) questions, and provide a contextual understanding of complex nursing phenomenon. A historical review of fuzzy logic is followed by a definition of fuzzy logic. Then, fuzzy logic is discussed in terms of its compatibility with nursing epistemological views and philosophical thoughts. Fuzzy logic agrees with three categories of epistemological views of nursing, including correspondence, coherence and pragmatism. Fuzzy logic also agrees with four major philosophical thoughts in nursing, including postempiricism, pragmatism, feminism, and postmodernism. Based on the discussion, we propose that fuzzy logic be further explored, used and developed in research and practice in the nursing areas/situations/phenomena that are characterized by complexity, ambiguousness, and vagueness. (shrink)

Paul Thompson, John Beatty, and Elisabeth Lloyd argue that attempts to resolve certain conceptual issues within evolutionary biology have failed because of a general adherence to the received view of scientific theories. They maintain that such issues can be clarified and resolved when one adopts a semantic approach to theories. In this paper, I argue that such conceptual issues are just as problematic on a semantic approach. Such issues arise from the complexity involved in providing formal accounts of theoretical laws (...) and scientific explanations. That complexity is due to empirical and pragmatic considerations, not one's adherence to a particular formal approach to theories. This analysis raises a broader question. How can any formal account properly represent the complex nature of empirical phenomena? (shrink)

SummaryIn this essay I offer a set of characteristic scientific activities, accompanied by principles to be used as guides in performing these activities, and dispositions that are desirable for the person performing these activities to have. This set is intended to provide a rough and ready elaboration of scientific thinking as a goal for our schools and colleges.Although they are here labeled scientific, they are intended to apply to other activities than doing what is standardly called science. This wider application (...) is part of the justification for offering science in our schools and colleges. We want people to think scientifically about many other aspects of their lives, as well as about science content.There is no suggestion that science content is not important, nor that scientific thinking should be taught apart from science content. In fact I think that a very good way to teach scientific thinking is by infusing such instruction in the instruction of science content. See Swartz for a discussion of infusion, and Ennis, for treatments of the subject‐specificity issue that is generally raised when thinking and content are discussed.This essay contains one brief case study that exemplifies most of the activities, principles, and dispositions suggested as goals for the schools. I realize that the validity and comprehensiveness of these goals has not been here demonstrated. The scientists, science educators, philosophers of science, and critical thinking specialists to whom1 have shown them are in general agreement about them, but the ultimate test will be in whether the goals are widely adopted and successfully serve as guidance in the promotion of scientific thinking.I hope that this elaboration of scientific thinking and its formulation in terms of a suggested set of goals are “dear and precise as is needed in the situation”. (shrink)

http://dx.doi.org/10.5007/1808-1711.2008v12n1p73 This paper aims at discussing from the point of view of a pragmatic stance the concept of model as an abstract replica. According to this view, scientific models are abstract structures different from set-theoretic models. The view of models argued for here stems from the conceptions of some important philosophers of science who elaborated on the notion of model, such as Suppe, Cartwright, Hempel, and Nagel. Differently from all those authors, however, the conception of model argued for here is (...) typically pragmatic, not semantic, i.e. it has not to do with the interpretation of scientific theories, but with the explanation and construction of given circumstances (both abstract and concrete), from the point of view of the theory. (shrink)

Several lines of argument support the notion that the legacy of positivism (if cast in terms of the realist/instrumentalist debate) is more realist than not. Work by Joia Lewis and Alberto Coffa on both Schlick and Carnap is cited, and contemporary work from Van Fraassen and Boyd briefly alluded to. Note is made of the differences within contemporary realist theory, and it is included that Carnap's essay "Empiricism, Semantics and Ontology" is crucial for resolution of the debate. In closing it (...) is noted that the spirit of much of the original positivist work reinforced the contention than those who work within the framework of science do in fact accept the reality of key scientific entities. (shrink)

Scientific reasoning is particularly pertinent to science education since it is closely related to the content and methodologies of science and contributes to scientific literacy. Much of the research in science education investigates the appropriate framework and teaching methods and tools needed to promote students’ ability to reason and evaluate in a scientific way. This paper aims to contribute to an extended understanding of the nature and pedagogical importance of model-based reasoning and to exemplify how using computer simulations can support (...) students’ model-based reasoning. We provide first a background for both scientific reasoning and computer simulations, based on the relevant philosophical views and the related educational discussion. This background suggests that the model-based framework provides an epistemologically valid and pedagogically appropriate basis for teaching scientific reasoning and for helping students develop sounder reasoning and decision-taking abilities and explains how using computer simulations can foster these abilities. We then provide some examples illustrating the use of computer simulations to support model-based reasoning and evaluation activities in the classroom. The examples reflect the procedure and criteria for evaluating models in science and demonstrate the educational advantages of their application in classroom reasoning activities. (shrink)

Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...) psychology. Despite the ubiquity of causal reasoning, textbooks of cognitive psychology have neglected this growing field. The goal of The Oxford Handbook of Causal Reasoning is to fill this gap. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields. 1. Causal Reasoning: An Introduction Michael R. Waldmann Part I: Theories of Causal Cognition 2. Associative Accounts of Causal Cognition Mike E. Le Pelley, Oren Griffiths, and Tom Beesley 3. Rules of Causal Judgment: Mapping Statistical Information Onto Causal Beliefs José C. Perales, Andrés Catena, Antonio Cándido, and Antonio Maldonado 4. The Inferential Reasoning Theory of Causal Learning: Toward a Multi- Process Propositional Account Yannick Boddez, Jan De Houwer, and Tom Beckers 5. Causal Invariance as an Essential Constraint for Creating a Causal Representation of the World: Generalizing the Invariance of Causal Power Patricia W. Cheng and Hongjing Lu 6. The Acquisition and Use of Causal Structure Knowledge Benjamin Margolin Rottman 7. Formalizing Prior Knowledge in Causal Induction Thomas L. Griffiths 8. Causal Mechanisms Samuel G. B. Johnson and Woo-kyoung Ahn 9. Force Dynamics and Causation Phillip Wolff and Robert Thorstad 10. Mental Models and Causation P. N. Johnson- Laird and Sangeet S. Khemlani 11. Pseudocontingencies Klaus Fiedler and Florian Kutzner 12. Singular Causation David Danks 13. Cognitive Neuroscience of Causal Reasoning Joachim T. Operskalski and Aron K. Barbey Part II: Basic Cognitive Functions 14. Visual Impressions of Causality Peter White 15. Goal-Directed Actions Bernhard Hommel 16. Planning and Control Magda Osman 17. Reinforcement Learning and Causal Models Samuel J. Gershman 18. Causation and the Probability of Causal Conditionals David E. Over 19. Causal Models and Conditional Reasoning Mike Oaksford and Nick Chater 20. Concepts as Causal Models: Categorization Bob Rehder 21. Concepts as Causal Models: Induction Bob Rehder 22. Causal Explanation Tania Lombrozo and Nadya Vasilyeva 23. Diagnostic Reasoning Björn Meder and Ralf Mayrhofer 24. Inferring Causal Relations by Analogy Keith J. Holyoak and Hee-Seung Lee 25. Causal Argument Ulrike Hahn, Roland Bluhm, and Frank Zenker 26. Causality in Decision- Making York Hagmayer and Philip M. Fernbach Part III: Domains of Causal Reasoning 27. Intuitive Theories Tobias Gerstenberg and Joshua B. Tenenbaum 28. Space, Time, and Causality Marc J. Buehner 29. Causation in Legal and Moral Reasoning David A. Lagnado and Tobias Gerstenberg 30. The Role of Causal Knowledge in Reasoning About Mental Disorders Woo-kyoung Ahn, Nancy S. Kim, and Matthew S. Lebowitz 31. Causality and Causal Reasoning in Natural Language Torgrim Solstad and Oliver Bott 32. Social Attribution and Explanation Denis Hilton Part IV: Development, Phylogeny, and Culture 33. The Development of Causal Reasoning Paul Muentener and Elizabeth Bonawitz 34. Causal Reasoning in Non-Human Animals Christian Schloegl and Julia Fischer 35. Causal Cognition and Culture Andrea Bender, Sieghard Beller, and Douglas L. Medin. (shrink)