Simple Reduction and Beyond Traditional and New Wave models of reduction in science have not lacked for ambition. Philosophers have presented single models to account for the full range of interesting intertheoretic relations, for scientific progress, and for the unity of science (Nagel, 1961; Oppenheim and Putnam, 1958). Early critics attacked the logical empiricists' proposals about the character of intertheoretic connections (Feyerabend, 1962; Kuhn, 1970). New Wave reductionists have similarly argued that various intertheoretic relations fall at different (...) points on a continuum of goodness-of-intertheoretic-mapping. Still, whatever their differences with the logical empiricists, New Wave reductionists have retained traditional aspirations for a single, comprehensive model of reduction that will make sense of the wide range of intertheoretic relations, of progressive scientific change, and of how the various sciences hang together (Hooker, 1981; Churchland and Churchland, 1990; Bickle, 1998). Both logical empiricists and their New Wave successors proffer such unified, multi-purpose models. Regardless of the field, multi-purpose tools typically sacrifice precision for versatility. Recent analyses of mechanistic explanation have helped to reveal that these models of scientific reduction are no exceptions to this rule, and the cost of sacrificing precision is one that the mechanists are unwilling to pay. Traditional and New Wave reductionists manifest allegiances (1) to the (virtually exclusive) analysis of theories and intertheoretic relations and (2) to conceptions of explanatory levels in science rooted in considerations pertaining to the size of and the mereological relations between the sciences' objects of study. (Discussions of both explanatory levels and mereological relations follow in subsequent sections.) By contrast, advocates of mechanistic analysis offer detailed accounts of particular systems' functioning that survey their components, their operations, and the larger systems to which they contribute (Bechtel and Richardson, 1993; Glennan, 1996; Machamer, Darden and Craver, 2000; Craver, 2001; Bechtel, 2006).. (shrink)

chapter 7. How DNA became an important molecule: Controversies at the origins of molecular biology Eleonora Cresto José María Gil Contributors Author index ...

This open access book is a systematic update of the philosophical and scientific foundations of the biopsychosocial model of health, disease and healthcare. First proposed by George Engel 40 years ago, the Biopsychosocial Model is much cited in healthcare settings worldwide, but has been increasingly criticised for being vague, lacking in content, and in need of reworking in the light of recent developments. The book confronts the rapid changes to psychological science, neuroscience, healthcare, and philosophy that have occurred (...) since the model was first proposed and addresses key issues such as the model’s scientific basis, clinical utility, and philosophical coherence. The authors conceptualise biology and the psychosocial as in the same ontological space, interlinked by systems of communication-based regulatory control which constitute a new kind of causation. These are distinguished from physical and chemical laws, most clearly because they can break down, thus providing the basis for difference between health and disease. This work offers an urgent update to the model’s scientific and philosophical foundations, providing a new and coherent account of causal interactions between the biological, the psychological and social. (shrink)

In The Advancement of Science (1993) Philip Kitcher develops what he calls the 'Compromise Model' of the closure of scientific debates. The model is designed to acknowledge significant elements from 'Rationalist' and 'Antirationalist' accounts of science, without succumbing to the one-sidedness of either. As part of an ambitious naturalistic account of scientific progress, Kitcher's model succeeds to the extent that transitions in the history of science satisfy its several conditions. I critically evaluate the Compromise Model by identifying its (...) crucial assumptions and by attempting to apply the model to a major transition in the history of biology: the rejection of 'naive group selectionism' in the 1960s. I argue that the weaknesses and limitations of Kitcher's model exemplify general problems facing philosophical models of scientific change, and that recognition of these problems supports a more modest vision of the relationship between historical and philosophical accounts of science. (shrink)

Friedman’s perspective on scientific change is a sophisticated attempt to combine Kantian transcendental philosophy and the Kuhnian historiographical model. In this article, I will argue that Friedman’s account, despite its virtues, fails to achieve the philosophical goals that it self-consciously sets, namely to unproblematically combine the revolutionary perspective of scientific development and the neo-Kantian philosophical framework. As I attempt to show, the impossibility of putting together these two aspects stems from the incompatibility between Friedman’s neo-Kantian (...) conception of the role of philosophy and the role of the notion of incommensurability, and the framework of transcendental idealism and the radical character of scientific revolutions. Hence, I suggest that pace Friedman and pace Kuhn’s own self-understanding, the Kuhnian theory of scientific revolutions cannot be seen as ‘Kantianism with moveable categories’ and consequently we should either abandon the notion of radical scientific revolution or place the Kuhnian account into another, non-Kantian philosophical framework. (shrink)

Although the Philosophy for/with Children (P4wC) movement seems to have overcome two major points of criticism, these critical concerns can still be found in the literature today. The first question is whether P4wC can be placed in the field of philosophy at all, and the second asks whether children possess the cognitive abilities necessary to engage in philosophical discourse. One of the more recent articles voicing these concerns is authored by Caroline Heinrich, who describes P4wC as “an assault on (...) philosophy and an assault on children” and argues that P4wC is a “concept imposed by adults on children.” She maintains that P4wC ignores “children’s thinking, questioning and play.” Furthermore, Heinrich states that P4wC cannot be called philosophy because children are not able to philosophize. In most of her argumentation, refering to Jan Piaget’s theoretical account of the cognitive development of children. Although the P4wC discourse has already dealt with these questions over the last few decades, it seems that there is still a need for further clarification. This paper provides an overview of the main points of criticism, which form the starting point of the author’s Polylogical Process Model of (Elementary-)Philosophical Education (PPEE model). This interdisciplinary approach, which is based on the constructivist conceptual change/growththeory of Stella Vosniadou and William Brewer, attempts to add new perspectives to two central questions addressing the P4wC movement: first, can P4wC actually be called philosophy?; second, do children have the cognitive abilities to engage in philosophical discourse? In addition, the question arises as to which pedagogical considerations based on constructivist learning theory could be added to P4wC methodology? The aim of the interdisciplinary PPEE model is to build a broader scientific foundation that has the potential to reduce the main points of criticism of the P4wC movement. (shrink)

"Advocates of the evolutionary analogy claim that mechanisms governing scientific change are analogous to those at work in organic evolution - above all, natural selection. By referring to the works of the most influential proponents of evolutionary analogies (Toulmin, Campbell, Hull and, most notably, Kuhn) the authors discuss whether and to what extent their use of the analogy is appropriate. A careful and often illuminating perusal of the theoretical scope of the terms employed, as well as of the (...) varying contexts within which the analogy is appealed to in contemporary debates, leads to the conclusion that such general theories of selective processes are either too sketchy or eventually not persuasive, if not altogether based on flawed views of evolutionary biology. By clarifying what is at stake, the analysis carried out in the book sheds new light on one of the dominant theories of scientific progress. It also invites criticism, of course - but that is the very fuel of philosophical confrontation." - Stefano Gattei, IMT Institute for Advanced Studies, Lucca "This book presents a serious challenge to those, like David Hull, who seek to model scientific change as an evolutionary process. The authors point out that although there are similarities between the processes of scientific change and organic evolution, the dissimilarities present formidable difficulties to construing the relation as anything more than a weak analogy. Their argument employs what they call a 'type hierarchical' approach that promises to be a powerful tool for the classification of similarities between theories in all fields." - Michael Bradie, Department of Philosophy, Bowling Green State University "This is a most interesting discussion of the analogy between biological and scientific change. Particularly commendable is the close attention paid to the thinking of the late David Hull and his pathbreaking work on this issue." - Michael Ruse, History and Philosophy of Science, Florida State University. (shrink)

A systematic attempt to understand cognitive characteristics of translation by bringing its logical, pragmatic, and hermeneutic features together and examining a number of scientific, logical (philosophical and formal),and philosophical applications. The notion of translation investigated here is called explanatory since it is not a translation in the standard, meaning-saving sense but aims to provide an explanation for the meaning change in exact terms.

Modern science forms an inseparable whole with modern technology. A good deal, if not the greater part of present-day scientific research takes place in industrial research laboratories where science is practised in a technological setting and is exploited for technological ends. In The Netherlands, for instance, 60 to 70% of all the research in physics takes place in, or is financed by industry. For other highly industrialised countries the situation is not very much different. The foregoing means that scientists (...) working on unified field theories, cosmological models, the foundations of quantum mechanics, evolution theory etc. can hardly be said to represent the whole of modern science. Clearly they form a minority among the community of scientists. Nevertheless, philosophers of science tend to direct their attention to the work of this minority and to base their models of science on it. As a consequence, the technological dimension of science, and the methodological problems connected with it, have stayed in the dark. However, in order to arrive at an adequate picture of modern science and of the way it develops, its technological dimension should be taken into account. For instance, the fact that solid state physics has become, in the course of this century, one of the major fields of research within the physical sciences, can only be understood on the basis of the technological relevance of the kind of knowledge produced by this type of research. -/- . (shrink)

Scientific pluralism, a normative endorsement of the plurality or multiplicity of research approaches in science, has recently been advocated by several philosophers (e.g., Kellert et al. 2006, Kitcher 2001, Longino 2013, Mitchell 2009, and Chang 2010). Comparing these accounts of scientific pluralism, one will encounter quite some variation. We want to clarify the different interpretations of scientific pluralism by showing how they incarnate different models of democracy, stipulating the desired interaction among the plurality of research approaches (...) in different ways. Furthermore, the example of scientific pluralism is used to advocate the application of democratic theory to philosophy of science problems in general. Drawing on the parallels between models of science and models of democracy, we can articulate how the plurality of research approaches in science should interact within a democratic framework as well as how to cultivate multiple research approaches in the epistemically most productive way possible. This will not only improve our understanding of scientific plurality, but it can also help us stipulating how different research approaches should interact to constitute the most objective account possible or how the ideal of scientific consensus has to be understood. Ultimately, developing democratic models of science bears on the question of how deeply science and democracy are entwined. (shrink)

I propose an approach that expands philosophical views of scientific change, on the basis of an analysis of contemporary biomedical research and recent developments in the philosophy of scientific change. Focusing on the establishment of the exposome in epidemiology as a case study and the role of data as a context for contrasting views on change, I discuss change at conceptual, methodological, material, and social levels of biomedical epistemology. Available models of (...) class='Hi'>change provide key resources to discuss this type of change, but I present the need for an approach that models transfer, alignment, and influence as key processes of change. I develop this as a pragmatic approach to scientific change, where processes might change substantially depending on specific circumstances, thus contributing to and complementing the debate on a crucial epistemological issue. (shrink)

Social scientists regularly make use of multivariate models to describe complex social phenomena. It is argued that this approach is useful for modelling the variety of cognitive and social factors contributing to scientific change, and superior to the integrated models of scientific change currently available. It is also argued that care needs to be taken in drawing normative conclusions: cognitive factors are not instrinsically more "rational" than social factors, nor is it likely that social (...) factors, by some "invisible hand of reason," generally work to produce scientific success. A multivariate model of the biasing factors within a scientific community at particular times is developed. This model, which is an example of work in social epistemology, yields normative conclusions. (shrink)

Western philosophers have traditionally concentrated on theory as the means for expressing knowledge about a variety of phenomena. This absorbing book challenges this fundamental notion by showing how objects themselves, specifically scientific instruments, can express knowledge. As he considers numerous intriguing examples, Davis Baird gives us the tools to "read" the material products of science and technology and to understand their place in culture. Making a provocative and original challenge to our conception of knowledge itself, _Thing Knowledge _demands that (...) we take a new look at theories of science and technology, knowledge, progress, and change. Baird considers a wide range of instruments, including Faraday's first electric motor, eighteenth-century mechanical models of the solar system, the cyclotron, various instruments developed by analytical chemists between 1930 and 1960, spectrometers, and more. (shrink)

The continuity thesis of the Poznań school threshold model of the growth of scientific knowledge is considered in the light of the example of Van der Waals' and Boyle-Mariotte's laws. It is argued - using both traditional logical means and the structuralist reconstruction of the example - that the continuity thesis does not hold. A distinction between 'a historical and a systematic point of view' is introduced and it is argued that the continuity thesis of the threshold model presupposes (...) the systematic point of view. However, looking at matters from the systematic point of view need not yield the original theory, looked at from the historical point of view. Applied to the case of Van der Waals/Boyle-Mariotte laws, it turns out that the latter law is not a true idealizing special case of the former, contrary to the continuity thesis. The structuralist analysis of the example indicates that Boyle-Mariotte's law is a false factual law from the historical point of view. However, viewed from the systematic point of view, Boyle-Mariotte's law turns out to be a law which is expandable, adding the relevant new concepts, to an idealized version of Van der Waals' law. This idealizing version of Van der Waal's law in turn is a structuralist specialization of the (general) Van der Waals' law. (shrink)

I present philosophical reflections arising from a study of laboratory measurement methods in quantum physics. More specifically, I investigate three major methods of measuring kinetic energy, from the period during which quantum physics was developed and came to be widely accepted: magnetic deflection, electrostatic retardation, and material retardation. The historical material serves as a provocative focus at which many broader philosophical topics come together: the empirical testing of theories, the universal validity of physical laws, the interaction between theoretical (...) and experimental traditions, incommensurability, meaning and definition, realism and instrumentalism, the process of scientific change, and the unity of science. ;I begin the discussion by noting that the measurement methods in question were based on classical theory. Chapter 1 asks how the classical reasoning in measurements can be interpreted in quantum-mechanical terms, and concludes that only a "surface interpretation" is possible, since the classical methods involve many assumptions that conflict with quantum mechanics. Chapter 2 attempts to give a quantitative assessment of the inaccuracies that might result from using the "incorrect" classical theory in the design of measurement methods. Chapter 3 asks how we can know whether a measurement method is reliable, and investigates how different methods of measuring the same quantity can ground each other; this mutual grounding is also seen as a process of concept-formation. Chapter 4 argues that the customary quantum theories of measurement do not describe actual measurements well, and originate from an overly literal interpretation of the operator formalism of quantum mechanics. Chapter 5 examines how the classically reasoned measurement methods were incorporated into quantum physics; that history suggests a model of scientific development which can introduce fundamental changes while preserving much continuity with the old tradition. Chapter 6 develops a philosophical framework which allows a synthetic view of the concrete results presented in the earlier chapters: my work is an attempt to establish "conceptual coherence," creating and clarifying noncontradictory connections among the various conceptual activities that make up quantum physics. (shrink)

In the article, the main directions of development of science are considered in the context of the analysis of the strategies of modern social development and formation of social knowledge. This topic is considered in close connection with historical, global, national trends in the society. The relevance of this study relates to changes occurring in modern society: changing of requirements for scientific knowledge and education in connection with scientific and technological revolution, transition from the information society to the (...) knowledge society, strengthening of international cooperation, etc. The aim of the study is to trace the changes taking place in science in the scientific knowledge with the change of research approaches and influenced by modern trends. To achieve this goal in the work was used a method of comparative analysis. The evolution of scientific campaigns such as interdisciplinarity, multidisciplinary and transdisciplinarity. The latest trends of development of scientific knowledge, which is promising for the science of tomorrow, are defined. Based on the analysis of contemporary status and potential of integration of education, science and industry, the use of interdisciplinarity, polydisciplinary and transdisciplinarity as research principles of the future science are justified. The implications identified for the development of scientific knowledge and scientific methods in connection with the expansion of the object of knowledge. It is shown that in different States the relationship between society, science, education and government is fundamentally different. This contributed to the formation of various educational models. As a result of this research, historical and philosophical analysis of the development of scientific knowledge in diachronic and synchronic aspects was carried out. The scope of the results is higher education. It is concluded that the trends taking place in society have a huge impact on the development of scientific knowledge. (shrink)

Introduction. Judgments on church authority have been transformed depending on the changing posi- tion of the Church in society and its relationship with the state. In the process of rethinking, there have developed special traditions of its understand- ing, which reflected the specifics of the existence of Christian communities in different cultural and legal conditions. The purpose of the study is to outline the traditions of understanding church authority in three Christian denominations and offer grounds for their comparison in the (...) philosophical and canonical aspect. Methods. A comparative method is used on the basis of analyzing philosophical literature and canon-legal sources. Scientific novelty of the research. The article for the first time systematizes confessional differences in interpreting the form, content and levels of church authority. Results. It is shown that the decisive factor de- termining the differences between confessional traditions in the understanding of church authority is the nature of the boundary between the sacred and government authorities. Catholicism, consider- ing the governmental power established by God, includes it in the sacred, along with the teaching and sacramental. Protestantism, on the contrary, radically opposes it to the sacred, recognizing it as the prerogative of the state. Orthodoxy, as a rule, does not recognize government power as sacred, but it does not separate it from the church. Conclusions. An analysis of the positions ex- pressed by representatives of various Christian denominations regarding church authority makes it possible for us to conclude that the Orthodox tradi- tion tends to defend a position equidistant from polar opinions. (shrink)

Research on natural and artificial brains is proceeding at a rapid pace. However, the understanding of the essence of consciousness has changed slightly over the millennia, and only the last decade has brought some progress to the area. Scientific ideas emerged that the soul could be a product of the material body and that calculating machines could imitate brain processes. However, the authors of this book reject the previously common dualism—the view that the material and spiritual-psychic processes are separate (...) and require a completely different substance as their foundation. -/- Reductive Model of the Conscious Mind is a forward-thinking book wherein the authors identify processes that are the essence of conscious thinking and place them in the imagined, simplified structure of cells able to memorize and transmit information in the form of impulses, which they call neurons. The purpose of the study is to explain the essence of consciousness to the degree of development of natural sciences, because only the latter can find a way to embed the concept of the conscious mind in material brains. The book is divided into three parts. Part 1 works to convince readers that the emergence of consciousness does not require detailed knowledge of the structure and morphology of the brain, with the exception of some specific properties of the neural network structure that the authors attempt to point out. Part 2 proves that the biological structure of many natural brains fulfills the necessary conditions for consciousness and intelligent thinking. Similarly, Part 3 shows the ways in which artificial creatures imitating natural brains can meet these conditions, which gives great hopes for building artificially intelligent beings endowed with consciousness. Covering topics that include cognitive architecture, the embodied mind, and machine learning, this book is ideal for cognitive scientists, philosophers of mind, neuroscientists, psychologists, researchers, academicians, and advanced-level students. The book can also help to focus the research of linguists, neurologists, and biophysicists on the biophysical basis of postulated information processing into knowledge structures. (shrink)

Our scientific theories, like our cognitive structures in general, consist of propositions linked by evidential, explanatory, probabilistic, and logical connections. Those theoretical webs ‘impinge on the world at their edges,’ subject to a continuing barrage of incoming evidence. Our credences in the various elements of those structures change in response to that continuing barrage of evidence, as do the perceived connections between them. Here we model scientific theories as Bayesian nets, with credences at nodes and conditional links (...) between them modelled as conditional probabilities. We update those networks, in terms of both credences at nodes and conditional probabilities at links, through a temporal barrage of random incoming evidence. Robust patterns of punctuated equilibrium, suggestive of ‘normal science’ alternating with ‘paradigm shifts,’ emerge prominently in that change dynamics. The suggestion is that at least some of the phenomena at the core of the Kuhnian tradition are predictable in the typical dynamics of scientific theory change captured as Bayesian nets under even a random evidence barrage. (shrink)

In this work, I attempt to develop what I call a co-evolutionary model of scientific change, which I expect to afford a more balanced view on both the continuous and discontinuous aspects of scientific change. Supposing that scientific goals, methods and theories constitute the main components of scientific inquiry, I focus on the relationships among these components and their changing patterns. First of all, I identify explanatory power and empirical adequacy as primary goals of (...) science and explore the possibility of evaluating scientific goals. Then I try to bring out the major features of how the main components of science are related to each other. One major feature is that they mutually constrain each other, and as such each main component operates as a selective force on the other components. Another major feature is that the main components of science induce changes reciprocally, but with certain intervals. Other important features are the modes and tempos of changes in the main components of scientific inquiry. All these features together, I conclude, suggest that scientific change is evolutionary, as well as co-evolutionary. Finally I argue that this co-evolutionary model of scientific change does not yield to what I call the problems of circularity and scientific progress. (shrink)

This paper is a critique of a project, outlined by Laudan et al. (1986) recently in this journal, for empirically testing philosophical models of change in science by comparing them against the historical record of actual scientific practice. While the basic idea of testing such models of change in the arena of science is itself an appealing one, serious questions can be raised about the suitability of seeking confirmation or disconfirmation for large numbers of (...) specific theses drawn from a massive list of claims abstracted from the writings of a few philosophers of science. The present paper discusses what one might reasonably expect from a model of change in science and then compares some clusters of theses from Laudan et al. with developments in recent theoretical physics. The results suggest that such straightforward testing of theses may be largely inconclusive. (shrink)

Thomas Kuhn’s book, The Structure of Scientific Revolutions, is a classic text in the history and philosophy of science. It is one of the best known works in the field outside this area of academic specialization. One need only mention the term ‘paradigm’ to register the extent to which Kuhn’s ideas have entered the vernacular. Traditionally, philosophers of science have tended to focus on questions about the nature of scientific method. Kuhn brought a historical orientation to bear on (...) such questions. Structure opens with the words, ‘History, if viewed as a repository for more than anecdote or chronology could produce a decisive transformation in the image of science by which we are now possessed’ (p.1). Kuhn proposed a model of scientific change that emphasizes historical development. As Kuhn foresaw, reflection on its history has transformed our image of science. Science is now seen as a developing process, practised by humans in a variety of shifting historical and social circumstances. (shrink)

In this article, I explore the compatibility of inference to the best explanation (IBE) with several influential models and accounts of scientific explanation. First, I explore the different conceptions of IBE and limit my discussion to two: the heuristic conception and the objective Bayesian conception. Next, I discuss five models of scientific explanation with regard to each model’s compatibility with IBE. I argue that Kitcher’s unificationist account supports IBE; Railton’s deductive–nomological–probabilistic model, Salmon’s statistical-relevance model, and van (...) Fraassen’s erotetic account are incompatible with IBE; and Salmon’s causal–mechanical model is merely consistent with IBE. In short, many influential models of scientific explanation do not support IBE. I end by outlining three possible conclusions to draw: (1) either philosophers of science or defenders of IBE have seriously misconstrued the concept of explanation, (2) philosophers of science and defenders of IBE do not use the term ‘explanation’ univocally, and (3) the ampliative conception of IBE, which is compatible with any model of scientific explanation, deserves a closer look. (shrink)

In a previous article we have shown that Kuhn's theory of concepts is independently supported by recent research in cognitive psychology. In this paper we propose a cognitive re-reading of Kuhn's cyclical model of scientific revolutions: all of the important features of the model may now be seen as consequences of a more fundamental account of the nature of concepts and their dynamics. We begin by examining incommensurability, the central theme of Kuhn's theory of scientific revolutions, according to (...) two different cognitive models of concept representation. We provide new support for Kuhn 's mature views that incommensurability can be caused by changes in only a few concepts, that even incommensurable conceptual systems can be rationally compared, and that scientific change of the most radical sort—the type labeled revolutionary in earlier studies—does not have to occur holistically and abruptly, but can be achieved by a historically more plausible accumulation of smaller changes. We go on to suggest that the parallel accounts of concepts found in Kuhn and in cognitive science lead to a new understanding of the nature of normal science, of the transition from normal science to crisis, and of scientific revolutions. The same account enables us to understand how scientific communities split to create groups supporting new paradigms, and to resolve various outstanding problems. In particular, we can identify the kind of change needed to create a revolution rather precisely. This new analysis also suggests reasons for the unidirectionality of scientific change. (shrink)

Language evolves continuously through the creation of neologisms, reflecting shifts in cultural, scientific, and social paradigms. This study provides a philosophical analysis of English cultural and scientific neologisms through the lens of social semantics, exploring how language identity and conceptual meaning change over time. Drawing on theories of linguistic identity, meaning construction, and cultural semiotics, the study compares the formation, dissemination, and contextual integration of neologisms from cultural and scientific domains. Findings reveal that cultural neologisms (...) often emerge from socio-political discourses and popular media, emphasizing collective identity and social norms, while scientific neologisms are rooted in technological advancements and epistemological precision. The interplay between these linguistic forms underscores a dynamic process where language both shapes and is shaped by human experience. This inquiry highlights the philosophical significance of neologisms as carriers of evolving meaning, cultural heritage, and intellectual identity, offering insights into the relationship between language, belief systems, and societal change. (shrink)

This thesis focuses on models of conceptual change in science and philosophy. In particular, I developed a new bootstrapping methodology for studying conceptual change, centered around the formalization of several popular models of conceptual change and the collective assessment of their improved formal versions via nine evaluative dimensions. Among the models of conceptual change treated in the thesis are Carnap’s explication, Lakatos’ concept-stretching, Toulmin’s conceptual populations, Waismann’s open texture, Mark Wilson’s patches and facades, (...) Sneed’s structuralism, and Paul Thagard’s conceptual revolutions. -/- In order to analyze and compare the conception of conceptual change provided by these different models, I rely on several historical reconstructions of episodes of scientific conceptual change. The historical episodes of scientific change that figure in this work include the emergence of the morphological concept of fish in biological taxonomies, the development of scientific conceptions of temperature, the Church-Turing thesis and related axiomatizations of effective calculability, the history of the concept of polyhedron in 17th and 18th century mathematics, Hamilton’s invention of the quaternions, the history of the pre-abstract group concepts in 18th and 19th century mathematics, the expansion of Newtonian mechanics to viscous fluids forces phenomena, and the chemical revolution. I will also present five different formal and informal improvements of four specific models of conceptual change. I will first present two different improvements of Carnapian explication, a formal and an informal one. My informal improvement of Carnapian explication will consist of a more fine-grained version of the procedure that adds an intermediate, third step to the two steps of Carnapian explication. I will show how this novel three-step version of explication is more suitable than its traditional two-step relative to handle complex cases of explications. My second, formal improvement of Carnapian explication will be a full explication of the concept of explication itself within the theory of conceptual spaces. By virtue of this formal improvement, the whole procedure of explication together with its application procedures and its pragmatic desiderata will be reconceptualized as a precise procedure involving topological and geometrical constraints inside the theory of conceptual spaces. My third improved model of conceptual change will consist of a formal explication of Darwinian models of conceptual change that will make vast use of Godfrey-Smith’s population-based Darwinism for targeting explicitly mathematical conceptual change. My fourth improvement will be dedicated instead to Wilson’s indeterminate model of conceptual change. I will show how Wilson’s very informal framework can be explicated within a modified version of the structuralist model-theoretic reconstructions of scientific theories. Finally, the fifth improved model of conceptual change will be a belief-revision-like logical framework that reconstructs Thagard’s model of conceptual revolution as specific revision and contraction operations that work on conceptual structures. -/- At the end of this work, a general conception of conceptual change in science and philosophy emerges, thanks to the combined action of the three layers of my methodology. This conception takes conceptual change to be a multi-faceted phenomenon centered around the dynamics of groups of concepts. According to this conception, concepts are best reconstructed as plastic and inter-subjective entities equipped with a non-trivial internal structure and subject to a certain degree of localized holism. Furthermore, conceptual dynamics can be judged from a weakly normative perspective, bound to be dependent on shared values and goals. Conceptual change is then best understood, according to this conception, as a ubiquitous phenomenon underlying all of our intellectual activities, from science to ordinary linguistic practices. As such, conceptual change does not pose any particular problem to value-laden notions of scientific progress, objectivity, and realism. At the same time, this conception prompts all our concept-driven intellectual activities, including philosophical and metaphilosophical reflections, to take into serious consideration the phenomenon of conceptual change. An important consequence of this conception, and of the analysis that generated it, is in fact that an adequate understanding of the dynamics of philosophical concepts is a prerequisite for analytic philosophy to develop a realistic and non-idealized depiction of itself and its activities. (shrink)

One of the ironies of our time is the sparsity of useful analytic tools for understanding change and development within technology itself. For all the diatribes about the disastrous effects of technology on modern life, for all the equally uncritical paeans to technology as the panacea for human ills, the vociferous pro- and anti-technology movements have failed to illuminate the nature of technology. On a more scholarly level, in the midst of claims by Marxists and non-Marxists alike about the (...) technological underpinnings of the major social and economic changes of the last couple of centuries, and despite advice given to government and industry about managing science and technology by a small army of consultants and policy analysts, technology itself remains locked inside an impenetrable black box, a deus ex machina to be invoked when all other explanations of puzzling social and economic pheoomena fail. The discipline that has probably done most to penetrate that black box in recent years by studying the 1 internal development of technology is history. Historians of technology and certain economic historians have carried out careful and detailed studies on the genesis and impact of technological innovations, and the structu-re of the social systems associated with those innovations. Within the past few decades tentative consensus about the periodization and the major traditions within the history of technology has begun to emerge, at least as far as Britain and America in the eighteenth and nineteenth century are concerned. (shrink)

Theories and models are not equivalent. I argue that an orientation towards models as a primary carrier of nursing knowledge overcomes many ongoing challenges in philosophy of nursing science, including the theory–practice divide and the paradoxical pursuit of predictive theories in a discipline that is defined by process and a commitment to the non‐reducibility of the health/care experience. Scientific models describe and explain the dynamics of specific phenomenon. This is distinct from theory, which is traditionally defined (...) as propositions that explain and/or predict the world. The philosophical case has been made against theoretical universalism, showing that a theory can be true in its domain, but that no domain is universal. Subsequently, philosophers focused on scientific models argued that they do the work of defining the boundary conditions—the domain(s)—of a theory. Further analysis has shown the ways models can be constructed and function independent of theory, meaning models can comprise distinct, autonomous “carriers of scientific knowledge.” Models are viewed as representations of the active dynamics, or mechanisms, of a phenomenon. Mechanisms are entities and activities organized such that they are productive of regular changes. Importantly, mechanisms are by definition not static: change may alter the mechanism and thereby alter or create entirely new phenomena. Orienting away from theory, and towards models, focuses scholarly activity on dynamics and change. This makes models arguably critical to nursing science, enabling the production of actionable knowledge about the dynamics of process and change in health/care. I briefly explore the implications for nursing—and health/care—knowledge and practice. (shrink)

I seek to provide a systematic and comprehensive framework for the description and analysis of scientific practice—a philosophical grammar of scientific practice, ‘grammar’ as meant by the later Wittgenstein. I begin with the recognition that all scientific work, including pure theorizing, consists of actions, of the physical, mental, and ‘paper-and-pencil’ varieties. When we set out to see what it is that one actually does in scientific work, the following set of questions naturally emerge: who is (...) doing what, why, and how? More specifically, we must arrive at some coherent philosophical accounts of the following elements of scientific practice: the agent—free, embodied, and constantly in second-person interactions with other agents; the purposes and proximate aims of the agent; types of activities that the agent engages in; ontological principles necessarily presumed for the performance of particular activities; instruments and other resources that the agent pulls together for the performance of each activity. After sketching the general framework, I also give some illustrative contrasts between the more traditional descriptions of scientific practice and the kind of descriptions enabled by the proposed framework. (shrink)

From the nineteen sixties onwards a branch of philosophy of science has come to development, called history-oriented philosophy of science. This development constitutes a reaction on the then prevailing logical empiricist conception of scientific knowledge. The latter was increasingly seen as suffering from insurmountable internal problems, like e. g. the problems with the particular "observational-theoretical distinction" on which it drew. In addition the logical empiricists' general approach was increasingly criticized for two external shortcomings. Firstly, the examples of scientific (...) knowledge that the logical empiricists were focusing on were con sidered as too simplistic to be informative on the nature of real life science. Secondly, it was felt that the attention of these philosophers of science was restricted to the static aspects of scientific knowledge, while neglecting its developmental aspects. History-oriented philosophy of science has taken up the challenge implicit in the latter two criticisms, i. e. to develop accounts of science that would be more adequate for understanding the development 1 of real life science. One of the more successful products of this branch of philosophy of science is Lakatos's theory of scientific development, sometimes called the "methodology of scientific research programmes". This theory conceives science as consisting of so called research program mes developing in time, and competing with each other over the issue which one generates the best explan~tions of the phenomena that they address. (shrink)

Information is a basic structure of the world, while computation is a process of the dynamic change of information. This book provides a cutting-edge view of world's leading authorities in fields where information and computation play a central role. It sketches the contours of the future landscape for the development of our understanding of information and computation, their mutual relationship and the role in cognition, informatics, biology, artificial intelligence, and information technology. -/- This book is an utterly enjoyable and (...) engaging read which gives readers an opportunity to understand and relate phenomena seemingly unrelated in a completely new light — especially the connections between information, computation, cognition and life. -/- Contents: Cybersemiotics and the Question of Knowledge (Søren Brier) Information Dynamics in a Categorical Setting (Mark Burgin) Mathematics as a Biological Process (G J Chaitin) Information, Causation and Computation (John Collier) From Descartes to Turing: The Computational Content of Supervenience (S Barry Cooper) A Dialogue Concerning Two World Systems: Info-Computational vs Mechanistic (Gordana Dodig-Crnkovic & Vincent C Müller) Does Computing Embrace Self-Organization? (Wolfgang Hofkirchner) Analysis of Information and Computation in Physics Explains Cognitive Paradigms: From Full Cognition to Laplace Determinism to Statistical Determinism to Modern Approach (Vladik Kreinovich, Roberto Araiza & Juan Ferret) Bodies — Both Informed and Transformed Embodied Computation and Information Processing (Bruce J MacLennan) Computation on Information, Meaning and Representations: An Evolutionary Approach (Christophe Menant) Interior Grounding, Reflection, and Self-Consciousness (Marvin Minsky) A Molecular Dynamic Network: Minimal Properties and Evolutionary Implications (Walter Riofrio) Super-recursive Features of Evolutionary Processes and the Models for Computational Evolution (Darko Roglic) Towards a Modeling View of Computing (Oron Shagrir) What's Information, for an Organism or Intelligent Machine? How can a Machine or Organism Mean? (Aaron Sloman) Inconsistent Knowledge as a Natural Phenomenon: The Ranking of Reasonable Inferences as a Computational Approach to Naturally Inconsistent (Legal) Theories (Kees (CNJ) de Vey Mestdagh & Jaap Henk (JH) Hoepman) On the Algorithmic Nature of the World (Hector Zenil & Jean-Paul Delahaye) . (shrink)

Philosophers of science have offered various accounts of climate model evaluation which have largely centered on model-fit assessment. However, despite the wide-spread prevalence of process-based evaluation in climate science practice, this sort of model evaluation has been undertheorized by philosophers of science. In this paper, I aim to expand this narrow philosophical view of climate model evaluation by providing a philosophical account of process evaluation that is rooted in a close examination of scientific practice. I propose dynamical (...) adequacy as a metric by which scientists test and evaluate models that represent and produce key regional climate processes and features. I argue that process-based evaluation confirms the adequacy of a regional climate model for simulating and predicting future changes of a specific regional climate feature. I offer a case study of how, in practice, scientists establish the reliability of model projections by assessing the dynamical adequacy of such models. I also show how process-based evaluation mitigates some well-known shortcomings of model-fit assessment and supports the adequacy and reliability of climate model projections against philosophical objections, like confirmational holism. Such adequacy is especially important for decision makers who need reliable regional model projections to guide their climate change mitigation and adaptation policies. (shrink)

This essay provides an explanation and interpretation of the undertreatment of pain by discussing some of the scientific, clinical, cultural, and philosophical aspects of this problem. One reason why pain continues to be a problem for medicine is that pain does not conform to the scientific approach to health and disease, a philosophy adopted by most health care professionals. Pain does not fit this philosophical perspective because (1) pain is subjective, not objective; (2) the causal basis (...) of pain is often poorly understood; (3) pain is often regarded as a mere symptom, not as a disease; (4) there often are no magic bullets for pain; (5) pain does not fit the expert knowledge model. In order for health care professionals to do a better job of treating pain, some changes need to occur in medical philosophy, education, and practice. (shrink)

Philosophers of science have used various formulations of the "random mutation--natural selection" scheme to explain the development of scientific knowledge. But the uncritical acceptance of this evolutionary model has led to substantive problems concerning the relation between fact and theory. The primary difficulty lies in the fact that those who adopt this model (Popper and Kuhn, for example) are led to claim that theories arise chiefly through the processes of relatively random change. Systems theory constitutes a general criticism (...) of this model insofar as it demonstrates the necessity of supplementing this mechanism with the non-random influences exercised by the internal organization of a system on its own development. (shrink)

According to the naturalistic normative axiology of Laudan's reticulated model of scientific change, empirical discoveries in the advance of science can provide a rational basis for axiological decisions concerning which epistemic goals scientific inquiry ought to pursue. The Bohr-Einstein debate over acceptance of quantum theory is analyzed as a case of axiological change. The participants' aims are incompatible due to different formulations of the goal of objective description, but neither doubts the realist commitment to the existence (...) of microsystems or the intention of quantum mechanics to provide knowledge of them. Thus the general aim of realism is not at issue. (shrink)

In this paper we discuss two approaches to the axiomatization of scientific theories in the context of the so called semantic approach, according to which (roughly) a theory can be seen as a class of models. The two approaches are associated respectively to Suppes’ and to da Costa and Chuaqui’s works. We argue that theories can be developed both in a way more akin to the usual mathematical practice (Suppes), in an informal set theoretical environment, writing the set (...) theoretical predicate in the language of set theory itself or, more rigorously (da Costa and Chuaqui), by employing formal languages that help us in writing the postulates to define a class of structures. Both approaches are called internal , for we work within a mathematical framework, here taken to be first-order ZFC. We contrast these approaches with an external one, here discussed briefly. We argue that each one has its strong and weak points, whose discussion is relevant for the philosophical foundations of science. (shrink)

This dissertation is an interdisciplinary study of scientific change. The undulatory theory of light replaced the emission theory of light in the early nineteenth century, triggering an "optical revolution" and vigorous debates among physicists in Britain from the 1830s to the 1850s. In this study I give the first full account of this extended episode of scientific change, drawing on methods and concepts from history, sociology and philosophy of science. The interdisciplinary account of the episode provides (...) a basis for criticizing the existing models of scientific change in the philosophy of science. ;Previous historical studies of the "optical revolution" pay little attention to the period after the 1830s. Because the cognitive superiority of the undulatory theory had become obvious in the early 1830s, some historians have implicitly assumed that any controversy would soon come to a natural end. I, however, document that intensive debates continued from the 1830s until the end of the 1850s, and that emissionists even enjoyed temporary victories in their fights with undulationists. The narrative reveals the historical complexities of this episode: the debates extended long after the cognitive superiority of the undulatory theory should have become apparent by modern standard, the results of the debates did not necessarily coincide with modern cognitive judgements, and individual agents played decisive roles in determining how long a debate lasted and how it would end. ;On the basis of the historical narrative, I provide a philosophical analysis of the practices of theory appraisal and experiment appraisal that constituted the main theme of the controversy. Instead of merely identifying the criteria of evaluation employed in this episode, I pay special attention to how individual agents actually applied these criteria in concrete situations, what kinds of strategies or tactics they employed for the applications of these criteria, and how they created favorable conditions, both cognitive and social, for successfully applying these criteria. Individual agents' efforts in selecting application strategies and in creating favorable conditions made the practices of appraisal complicated, exhibiting various features that are incomprehensible if we limit ourselves merely to studying the criteria of evaluation. ;I finally discuss a different approach to scientific change. The existing philosophical models of scientific change merely analyze the final product of science--scientific theories, and ignore the impact of social factors and the role of individual agents. I suggest we concentrate on the process of knowledge production, and pay attention to individual agents's practices in this process, as well as to the relevant cognitive and social factors that influence individual agents. Following this new approach, scientific change is understood as an evolution that involves interactions among three elements: theory, experiment, and human agent. (shrink)

For the better part of the 20th century, expositions of issues regarding historical explanation followed a predictable format, one that took as given the nonequivalence of explanations in history and philosophical models of scientific explanation. Ironically, at the present time, the philosophical point of note concerns how the notion of science has itself changed. Debates about explanation in turn need to adapt to this. This prompts the question of whether anything now still makes plausible the thought (...) that history must make some forced choice with regard to the type of science it is and an associated explanatory form. The discussion that follows sketches the alternative forms of explanation between which historians were to pick, and indicates why each proves unsatisfactory. Examination of these issues allows identification of a conception of historical explanation that does not require the metaphysical and epistemological assumptions that engender previous dichotomous characterizations. (shrink)

The social epistemology of science has adopted agent-based computer simulations as one of its core methods for investigating the dynamics of scientific inquiry. The epistemic status of these highly idealized models is currently under active debate in which they are often associated either with predictive or the argumentative functions. These two functions roughly correspond to interpreting simulations as virtual experiments or formalized thought experiments, respectively. This paper advances the argumentative account of modeling by proposing that models serve (...) as a means to (re)conceptualize the macro-level dynamics of complex social epistemic interactions. I apply results from the epistemology of scientific modeling and the psychology of mental simulation to the ongoing debate in the social epistemology of science. Instead of considering simulation models as predictive devices, I view them as artifacts that exemplify abstract hypothetical properties of complex social epistemic processes in order to advance scientific understanding, hypothesis formation, and communication. Models need not be accurate representations to serve these purposes. They should be regarded as pragmatic cognitive tools that engender rather than replace intuitions in philosophical reasoning and argumentation. Furthermore, I aim to explain why the community tends to converge around few model templates: Since models have the potential to transform our intuitive comprehension of the subject of inquiry, successful models may literally capture the imagination of the modeling community. (shrink)

Nugayev’s book is one of the first Soviet monographs treating the theory change problem. The gist of epistemological model consists in consequent account of intertheoretical relations. His book is based on the works of Soviet authors, as well as on Western studies (K.R. Popper, T.S. Kuhn, I. Lakatos, P. Feyerabend et al.) Key words: epistemological model, Soviet philosophy, Western studies .

In this chapter, I argue that scientific practice in the neurosciences of cognition is not conducive to the discovery of natural kinds of cognitive capacities. The “neurosciences of cognition” include cognitive neuroscience and cognitive neurobiology, two research areas that aim to understand how the brain gives rise to cognition and behavior. Some philosophers of neuroscience have claimed that explanatory progress in these research areas ultimately will result in the discovery of the underlying mechanisms of cognitive capacities. Once such mechanistic (...) understanding is achieved, cognitive capacities purportedly will be relegated into natural kind categories that correspond to real divisions in the causal structure of the world. I provide reasons here, however, in support of the claim that the neurosciences of cognition currently are not on a trajectory for discovering natural kinds. As I explain, this has to do with how mechanistic explanations of cognitive capacities are developed. Mechanistic explanations and the kinds they explain are abstract representational byproducts of the conceptual, experimental and integrative practices of neuroscientists. If these practices are not coordinated towards developing mechanistic explanations that mirror the causal structure of the world, then natural kinds of cognitive capacities will not be discovered. I provide reasons to think that such coordination is currently lacking in the neurosciences of cognition and indicate where changes in these practices appropriate to the natural kinds ideal would be required if achieving this ideal is indeed the goal. However, I suggest that an evaluation of current practices in these research areas is suggestive that discovering natural kinds of cognitive capacities is not the goal. (shrink)

By linking the conceptual and social dynamics of change in science, Kuhn’s Structure of Scientific Revolutions proved tremendously fruitful for research in science studies. But Kuhn’s idea of incommensurability provoked strong criticism from philosophers of science. In this essay I show how Raimo Tuomela’s Philosophy of Sociality illuminates and strengthens Kuhn’s model of scientific change. After recalling the central features and problems of Kuhn’s model, I introduce Tuomela’s approach. I then show (a) how Tuomela’s conception of (...) group ethos aligns with Kuhn’s notion of paradigms as group commitments, and (b) how Tuomela’s distinction between I-mode and we-mode forms of collective intentionality can capture the shifting paradigmatic commitments in Kuhn’s model of change as a cycle of normal and revolutionary science. But Tuomela’s analysis does not rely on meaning holism, and thus does not involve the problematic notion of incommensurability that burdened Kuhn’s analysis. (shrink)

How happy it is to recall Imre Lakatos. Now, fifteen years after his death, his intelligence, wit, generosity are vivid. In the Preface to the book of Essays in Memory of Imre Lakatos, the editors wrote:... Lakatos was a man in search of rationality in all of its forms. He thought he had found it in the historical development of scientific knowledge, yet he also saw rationality endangered everywhere. To honor Lakatos is to honor his sharp and aggressive criticism (...) as well as his humane warmth and his quick wit. He was a person to love and to struggle with. The book before us carries old and new friends of that Lakatosian spirit further into the issues which he wanted to investigate. That the new friends include a dozen scientific, historical and philosophical scholars from Greece would have pleased Lakatos very much, and with an essay from China, he would have smiled all the more. But the key lies in the quality of these papers, and in the imaginative organization of the conference at Thessaloniki in summer 1986 which worked so well. (shrink)