We model scientific theories as Bayesian networks. Nodes carry credences and function as abstract representations of propositions within the structure. Directed links carry conditional probabilities and represent connections between those propositions. Updating is Bayesian across the network as a whole. The impact of evidence at one point within a scientific theory can have a very different impact on the network than does evidence of the same strength at a different point. A Bayesian model allows us to (...) envisage and analyze the differential impact of evidence and credence change at different points within a single network and across different theoretical structures. (shrink)

This book is about the methods used for unifying different scientific theories under one all-embracing theory. The process has characterized much of the history of science and is prominent in contemporary physics; the search for a 'theory of everything' involves the same attempt at unification. Margaret Morrison argues that, contrary to popular philosophical views, unification and explanation often have little to do with each other. The mechanisms that facilitate unification are not those that enable us to explain (...) how or why phenomena behave as they do. A feature of this book is an account of many case studies of theory unification in nineteenth- and twentieth-century physics and of how evolution by natural selection and Mendelian genetics were unified into what we now term evolutionary genetics. (shrink)

Suppe, F. The search for philosophic understanding of scientific theories (p. [1]-241)--Proceedings of the symposium.--Bibliography, compiled by Rew A. Godow, Jr. (p. [615]-646).

Scientific inquiry has led to immense explanatory and technological successes, partly as a result of the pervasiveness of scientific theories. Relativity theory, evolutionary theory, and plate tectonics were, and continue to be, wildly successful families of theories within physics, biology, and geology. Other powerful theory clusters inhabit comparatively recent disciplines such as cognitive science, climate science, molecular biology, microeconomics, and Geographic Information Science (GIS). Effective scientific theories magnify understanding, help supply legitimate explanations, and assist (...) in formulating predictions. Moving from their knowledge-producing representational functions to their interventional roles (Hacking 1983), theories are integral to building technologies used within consumer, industrial, and scientific milieus. -/- This entry explores the structure of scientific theories from the perspective of the Syntactic, Semantic, and Pragmatic Views. Each of these views answers questions such as the following in unique ways. What is the best characterization of the composition and function of scientific theory? How is theory linked with world? Which philosophical tools can and should be employed in describing and reconstructing scientific theory? Is an understanding of practice and application necessary for a comprehension of the core structure of a scientific theory? How are these three views ultimately related? (shrink)

This chapter contains sections titled: Introduction The Once Received View (ORV) Criticisms of the ORV The “Model Model” of Scientific Theories Mechanisms: Investigating Nonformal Patterns in Scientific Theories Conclusion.

This book addresses the logical aspects of the foundations of scientific theories. Even though the relevance of formal methods in the study of scientific theories is now widely recognized and regaining prominence, the issues covered here are still not generally discussed in philosophy of science. The authors focus mainly on the role played by the underlying formal apparatuses employed in the construction of the models of scientific theories, relating the discussion with the so-called semantic approach to (...) class='Hi'>scientific theories. The book describes the role played by this metamathematical framework in three main aspects: considerations of formal languages employed to axiomatize scientific theories, the role of the axiomatic method itself, and the way set-theoretical structures, which play the role of the models of theories, are developed. The authors also discuss the differences and philosophical relevance of the two basic ways of aximoatizing a scientific theory, namely Patrick Suppes’ set theoretical predicates and the "da Costa and Chuaqui" approach. This book engages with important discussions of the nature of scientific theories and will be a useful resource for researchers and upper-level students working in philosophy of science. (shrink)

Philosophers of science have long been concerned with these questions. In the 1980s, influential work by Clark Glymour, Michael Friedman, John Watkins, and Philip Kitcher articulated general accounts of theory unification that attempted to underwrite a connection between unification, truth, and understanding. According to the ‘unifiers,’ as we may call them, a theory is unified to the extent that it has a small theoretical structure relative to the domain of phenomena it covers, and there are general syntactic (...) criteria that allow one to determine how unified a theory is. The explanatory power of a theory, and the understanding of nature it gives us, is a direct consequence of this unity. As well, the more unified a theory is, the better confirmed it will be, and under some conditions a theory’s unity can justify realism about unobservable entities posited by it. In the 1990s disunity became the dominant theme, with books such as John Dupré’s The Disorder of Things and the Galison and Stump anthology arguing that it is a mistake to view science as a unified practice and that rather than an epistemic virtue, unification in science is a metaphysical vice. (shrink)

This paper explores a new reason for preferring a model-theoretic approach to understanding the nature of scientific theories. Identifying the models in philosophers' model-theoretic accounts of theories with the concepts in cognitive scientists' accounts of categorization suggests a structure to families of models far richer than has commonly been assumed. Using classical mechanics as an example, it is argued that families of models may be "mapped" as an array with "horizontal" graded structures, multiply hierarchical "vertical" structures, and local (...) "radial" structures. These structures promise important implications for how scientific theories are learned and used in actual scientific practice. (shrink)

What are scientific theories and how should they be represented? In this article, I propose a causal–structural account, according to which scientific theories are to be represented as sets of interrelated causal and credal nets. In contrast with other accounts of scientific theories (such as Sneedian structuralism, Kitcher’s unificationist view, and Darden’s theory of theoretical components), this leaves room for causality to play a substantial role. As a result, an interesting account of explanation is provided, which (...) sheds light on explanatory unification within a causalist framework. The theory of classical genetics is used as a case study. 1 Introduction2 The Theory of Classical Genetics3 Three Philosophical Accounts of the Theory of Classical Genetics3.1 The structuralist account3.2 Kitcher’s unificationism3.3 Darden and theory change in science4 A Common Lacuna: Where is Causality?5 Woodward’s Interventionist Account of Causation6 Causal Bayes Nets and Their Interrelations6.1 Causal Bayes nets6.2 Relations among causal nets6.3 Credal nets and their interrelations7 The Theory of the Gene and its Causal Graph8 A First Exemplar: Stem Length in Pea Plants8.1 Three crosses on stem length in pea plants8.2 The causal graph for stem length in pea plants8.3 Morgan’s explanatory principles and the credal net for stem length in pea plants9 Explaining Mendel’s Crosses: A Causal–Structural Account10 Monohybrid Crosses with Complete Dominance11 Exemplars,Explanatory Patterns, Generic Credal Nets, and Mechanism Schemas12 Incomplete Dominance13 Anomalies14 Multi-hybrid Crosses with Independent Assortment15 Multi-hybrid Crosses with Linkage and Crossing-Over16 Double Crossing-Over and the Linear Order of the Gene17 Causal–Structural Explanation18 Explanatory Unification19 Concluding Remarks. (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)

In this dissertation, I examine a view called ‘Epistemic Structural Realism’, which holds that we can, at best, have knowledge of the structure of the physical world. Put crudely, we can know physical objects only to the extent that they are nodes in a structure. In the spirit of Occam’s razor, I argue that, given certain minimal assumptions, epistemic structural realism provides a viable and reasonable scientific realist position that is less vulnerable to anti-realist arguments than any (...) of its rivals. (shrink)

The English Synopsis is after the text of the book. The book presents an original and generalizing substantive vision of the philosophy of science through the prism of a detailed analysis of the polysystem structure of scientific theories. Theories are considered, firstly, as complex specialized forms of developed scientific thinking about the realities studied by natural science, secondly, as constantly improving tools for producing new knowledge in interaction with experimental research, and thirdly, as carriers of ordered and (...) verified knowledge. Emphasis is placed on their nominal and ontic subsystems. The book develops personal and joint research of the authors (theoretical physicist and philosopher), the experience of teaching philosophy of physics at NaUKMA, philosophy of science at the Higher School of Philosophy at the H. Skovoroda Institute of Philosophy of the National Academy of Sciences of Ukraine and theoretical physics at the National Technical University "Ihor Sikorsky Kyiv Polytechnic Institute". The research is based on a significant source base covering works of modern Western researchers in natural science and philosophy of science. For students, teachers, and scientists who are interested in the problems of modern philosophy of science and have a certain amount of scientific knowledge. It will also be useful for high school students who are eager to become scientists. (shrink)

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)

David Hull's (1988c) model of science as a selection process suffers from a two-fold inability: (a) to ascertain when a lineage of theories has been established; i.e., when theories are descendants of older theories or are novelties, and what counts as a distinct lineage; and (b) to specify what the scientific analogue is of genotype and phenotype. This paper seeks to clarify these issues and to propose an abstract model of theories analogous to particulate genetic structure, in order (...) to reconstruct relationships of descent and identity. (shrink)

(2000). STRUCTURE AND GENESIS IN SCIENTIFIC THEORY: HUSSERL, BACHELARD, DERRIDA. British Journal for the History of Philosophy: Vol. 8, No. 1, pp. 107-139. doi: 10.1080/096087800360247.

Hierarchical Bayesian models (HBMs) provide an account of Bayesian inference in a hierarchically structured hypothesis space. Scientific theories are plausibly regarded as organized into hierarchies in many cases, with higher levels sometimes called ‘para- digms’ and lower levels encoding more specific or concrete hypotheses. Therefore, HBMs provide a useful model for scientific theory change, showing how higher-level theory change may be driven by the impact of evidence on lower levels. HBMs capture features described in the Kuhnian (...) tradition, particularly the idea that higher-level theories guide learning at lower levels. In addition, they help resolve certain issues for Bayesians, such as scientific preference for simplicity and the problem of new theories. (shrink)

Knowledge is systemic by its nature. The highest expression of the systematic character of knowledge is to be found in scientific theories. Any scientific theory is a rigorously organized conceptual system, quite complex in structure. What defines the manner in which knowledge is organized in a theory? Is it independent of the nature and structural features of that sphere of the material world for cognition of which the theory was created, or is it conditioned (...) by these features and does it derive from them? Is there a correspondence between the structure of knowledge concentrated in a theory and the structure of that fragment of material reality that is modeled by that theory? Is it possible at all for a theory to be a form of reflection of objective reality, if there is no definite correspondence between its structure and the structure of the region of reality to which it pertains? These questions are of primary importance to the treatment of the theory of scientific knowledge. (shrink)

In this paper we consider the notions of structure and models within the semantic approach to theories. To highlight the role of the mathematics used to build the structures which will be taken as the models of theories, we review the notion of mathematical structure and of the models of scientific theories. Then, we analyse a case-study and argue that if a certain metaphysical view of quantum objects is adopted, namely, that which sees them as non-individuals, then (...) there would be strong reasons to ask for a different mathematical framework for describing the structures that would be the models of the corresponding theory. In departing from the standard frameworks, we hope to bring to the scene, within the scope of the semantic approach, the importance of paying attention to some fundamental concepts usually only superficially touched by philosophers of science. (shrink)

This volume is the record of a symposium on the structer of scientific theories held in urbana, Illinois in the spring of 1969. ofSeven main papers, commentaries, discussions, and a postscript form the bulk of the book. The rest is a nearly 240-page monograph-in-the-guise-of-an-introduction by the editor titled “The Search for Philosophic Understanding of Scientific Theories”.

Using the context of controversies surrounding evolutionary developmental biology (EvoDevo) and the possibility of an Extended Evolutionary Synthesis, I provide an account of theory structure as idealized theory presentations that are always incomplete (partial) and shaped by their conceptual content (material rather than formal organization). These two characteristics are salient because the goals that organize and regulate scientific practice, including the activity of using a theory, are heterogeneous. This means that the same theory can (...) be structured differently, in part because theory presentations (as idealizations) intentionally depart from different features known to be present in a theory. Since there are diverse and potentially incompatible theory structures derived from heterogeneous goals found in scientific practices, a question arises about the absence of a unifying theory structure in the background. The notion of a “theory façade” offers a fruitful perspective on this potentially unsettling result. (shrink)

Hierarchical Bayesian models (HBMs) provide an account of Bayesian inference in a hierarchically structured hypothesis space. Scientific theories are plausibly regarded as organized into hierarchies in many cases, with higher levels sometimes called ‘paradigms’ and lower levels encoding more specific or concrete hypotheses. Therefore, HBMs provide a useful model for scientific theory change, showing how higher‐level theory change may be driven by the impact of evidence on lower levels. HBMs capture features described in the Kuhnian tradition, (...) particularly the idea that higher‐level theories guide learning at lower levels. In addition, they help resolve certain issues for Bayesians, such as scientific preference for simplicity and the problem of new theories. *Received July 2009; revised October 2009. †To contact the authors, please write to: Leah Henderson, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 32D‐808, Cambridge, MA 02139; e‐mail: [email protected]. (shrink)

Erratum to Using the context of controversies surrounding evolutionary developmental biology (EvoDevo) and the possibility of an Extended Evolutionary Synthesis, I provide an account of theory structure as idealized theory presentations that are always incomplete (partial) and shaped by their conceptual content (material rather than formal organization). These two characteristics are salient because the goals that organize and regulate scientific practice, including the activity of using a theory, are heterogeneous. This means that the same (...) class='Hi'>theory can be structured differently, in part because theory presentations (as idealizations) intentionally depart from different features known to be present in a theory. Since there are diverse and potentially incompatible theory structures derived from heterogeneous goals found in scientific practices, a question arises about the absence of a unifying theory structure in the background. The notion of a “theory façade” offers a fruitful perspective on this potentially unsettling result. (shrink)

Achinstein, Putnam, and others have urged the rejection of the received view on theories (which construes theories as axiomatic calculi where theoretical terms are given partial observational interpretations by correspondence rules) because (i) the notion of partial interpretation cannot be given precise formulation, and (ii) the observational-theoretical distinction cannot be drawn satisfactorily. I try to show that these are the wrong reasons for rejecting the received view since (i) is false and it is virtually impossible to demonstrate the truth of (...) (ii). Nonetheless, the received view should be rejected because it obscures a number of epistemologically important features of scientific theorizing. I show this by sketching an alternative analysis which reveals some of these features and gives a more faithful picture of scientific theorizing. (shrink)

Traditional approaches to theory structure and theory change in science do not fare well when confronted with the practice of certain fields of science. We offer an account of contemporary practice in molecular biology designed to address two questions: Is theory change in this area of science gradual or saltatory? What is the relation between molecular biology and the fields of traditional biology? Our main focus is a recent episode in molecular biology, the discovery of enzymatic (...) RNA. We argue that our reconstruction of this episode shows that traditional approaches to theory structure and theory change need considerable refinement if they are to be defended as generally applicable. 1This paper emerged from discussions between us, and we are both equally responsible for its errors. We would like to thank Yvonne Paterson for helpful comments. (shrink)

The philosopher of science faces overwhelming disagreement in the literature on the definition, nature, structure, ontology, and content of scientific theories. These disagreements are at least partly responsible for disagreements in many of the debates in the discipline which put weight on the concept scientific theory. I argue that available theories of theories and conceptual analyses of theory are ineffectual options for addressing this difficulty: they do not move debates forward in a significant way. Directing (...) my attention to debates about the properties of particular, named theories, I introduce ‘theory eliminativism’ as a certain type of debate-reformulation. As a methodological tool it has the potential to be a highly effective way to make progress in the face of the noted problem: post-reformulation disagreements about theory cannot compromise the debate, and the questions that really matter can still be asked and answered. In addition the reformulation process demands that philosophers engage with science and the history of science in a more serious way than is usual in order to answer important questions about the justification for targeting a particular set of propositions (say) in a given context. All things considered, we should expect the benefits of a theory-eliminating debate-reformulation to heavily outweigh the costs for a highly significant number of debates of the relevant type. (shrink)

In philosophy of science two questions become central in the discussion of the nature of empirical science: 1) What is a theory, i.e. how is it built up, how does it work? And: 2) How does a theory relate to its corresponding experiential basis? To deal with these two questions modern philosophy of science has devised various ‘models’ on the nature and working of scientific theories. Some aspects of these models are widely held within the community of (...) philosophers of science, but others are still being discussed quite controversially. In this paper, we will consider both kinds of aspects. Particularly, we will analyze how the meaning of scientific concepts is determined; the axiomatic construction of a scientific theory; the idea of model building views as a bridge between theory and experience; the holistic semantic thesis of science; the question about the true of scientific theories; and, finally, the hierarchic structure of theories.En filosofía de la ciencia, dos cuestiones resultan centrales en la discusión acerca de la naturalezade la ciencia empírica: 1) ¿qué es una teoría ?, es decir, ¿cómo estáconstituida y cómo funciona? y 2) ¿cómo se relaciona una teoría con su correspondientebase experiencial? Para tratar estas dos cuestiones, la moderna filosofía de la ciencia ha desarrolladovarios “modelos” sobre la naturaleza y el funcionamiento de lasteorías científicas. Algunos aspectos de estos modelos son ampliamente aceptados por lacomunidad de filósofos de la ciencia, mientras que otros son todavía discutidos de manerabastante controvertida. En este trabajo, consideraremos ambos tipos de aspectos. En particular,analizaremos cómo se determina el significado de los conceptos teóricos, la construcción axiomática de una teoría científica, la idea de las concepciones sobre la construcción de modelos como puente entre la teoría y la experiencia, la tesis semántica holista de la ciencia, la cuestión acerca de la verdad de las teorías científicas y, finalmente, la estructura jerárquica de las teorías. (shrink)

This impressive volume presents the results of a symposium on the structure of scientific theories held at the University of Illinois, Urbana, on March 26-29, 1969; lest this create the wrong impression, let it be noted at the outset that the volume is much more than a collection of papers. Indeed, when one takes into account Frederick Suppe’s book-length introduction, the editing of the critical comments, the extensive bibliography, and the fine index, the work must be seen as (...) the best account of scientific theory now available, one that surely commends itself to every philosopher of science with the slightest interest in metaphysics. The thrust of the symposium was to examine the view of scientific theories that has enjoyed great vogue among logical positivists, who have seen such theories as "axiomatic calculi in which theoretical terms and statements are given a partial observational interpretation by means of correspondence rules." Suppe refers to this as the "Received View," although it has been increasingly questioned in recent years, particularly by philosophers who have some proficiency in the history of science and by scientists who question its fidelity to actual scientific practice. One of the major aims of the symposium was to subject the Received View to analysis and debate by its proponents and by its critics, to assess its present status, and to see if any consensus has begun to develop on this topic—which plays such a key role in the philosophy of science. Suppe performs the analytic function in his critical introduction, and Stephen Toulmin adds a postscript that attempts to chart a course for future research. The message seems to be that the Received View has run its course and has proved to be more a hindrance than a help to philosophizing about science; what will take its place, however, does not emerge with any clarity. Participants in the symposium include all the luminaries in the philosophy of science movement: Carl Hempel, Patrick Suppes, David Bohm, Hilary Putnam, Thomas Kuhn, and Dudley Shapere, among others. Especially noteworthy are Suppe’s account of the development of the Received View and the criticisms that have been lodged against it, viz., its reliance on the analytic-synthetic distinction; the tenability of the observational-theoretical distinction; the notion of partial interpretation; its failure to include models as integral components; its analysis of correspondence rules; and its reliance on axiomatization. Suppe also details some of the proposed alternatives to the Received View, giving in the process lucid expositions of the thought of Toulmin, Kuhn, Hanson, Popper, and Feyerabend—all of which he treats under the rubric of "Weltanshauungen [[sic]] Analyses." Those interested in the relationships between history of science and philosophy of science will find the interchange between I. Bernard Cohen and Peter Achinstein stimulating as well as illuminating. Kuhn takes this occasion to offer his "Second Thoughts on Paradigms," and Shapere continues his criticism of both Kuhn and logical positivism—now more constructively than heretofore—with a penetrating essay entitled "Scientific Theories and their Domains." About the only thing that is lacking is a treatment of recent developments in England, particularly the work of Rom Harré at Oxford and related thinkers, who likewise reject the Received View and offer interesting alternatives to it that have yet to be appreciated and critiqued in the U.S.—W.A.W. (shrink)

Although logical empiricism is now mostly decried, their naturalist claim that the content of a theory can be read off from its structure, without any philosophical considerations needed, still supports traditional strategies to escape cases of underdetermination. The appeal to theoretical equivalence or to theoretical virtues, for instance, both assume that there is a neutral standpoint from which the structure of the theories can be analyzed, the physically relevant from the superfluous separated, and a comparison made between (...) their theoretical content and virtues. In my dissertation, I examine the presuppositions upon which such strategies depend. I argue that the methodological principle underlying them, according to which theories with no superfluous structure should be preferred, is unpractical, for what constitutes relevant structure is determined by epistemic considerations about the aim of scientific theories. In chapter 1, I analyze the claim that theories with ordinary bosons and fermions are theoretically equivalent to theories with exotic `paraparticles'. I argue that this claim does not do justice to the latter, as the proof is formulated in a vocabulary parochial to the former and thus favors one of the theory while giving an impoverished version of the second. In chapter 2, I examine recent arguments to the effects that any interpretation of Quantum Mechanics that can offer a no-go theorem against paraparticles possesses an explanatory advantage over other interpretations and should, as such, be favored over others. Given that most physicists consider paraparticles as surplus structure whose non-observation does not require an explanation, I evaluate arguments of both sides and suggest a third way to approach the question. Finally, in chapter 3, I turn my attention to methods for excluding another kind of unphysical structure, mathematical artifacts, from rival dark matter models. Simulations are our only window into what rival models predict about the universe’s structure. But for them to play a useful role in generating knowledge, we need to distinguish reliably between real predictions and artifacts. I argue that robustness analysis fails to fulfill this task. I propose in its place another methodology, that of crucial simulations. (shrink)

This paper analyzes recent work in psychology on the nature of the representation of complex forms of knowledge with the goal of understanding how theories are represented. The analysis suggests that, as a psychological form of representation, theories are mental structures that include theoretical entities (usually nonobservable), relationships among the theoretical entities, and relationships of the theoretical entities to the phenomena of some domain. A theory explains the phenomena in its domain by providing a conceptual framework for the phenomena (...) that leads to a feeling of understanding in the reader/hearer. The explanatory conceptual framework goes beyond the original phenomena, integrates diverse aspects of the world, and shows how the original phenomena follow from the framework. This analysis is used to argue that mental models are the subclass of theories that use causal/mechanical explanatory frameworks. In addition, an argument is made for a new psychologism in the philosophy of science, in which the mental representation of scientific theories must be taken into account. (shrink)

This volume honors and examines the founders of the philosophy of logical empiricism. Historical and interpretive essays clarify the scientific philosophies of Carnap, Reichenbach, Hempel, Kant, and others, while exploring the main topics of logical empiricist philosophy of science.