The term “evolution” is often used in the administrative sciences to designate dynamic processes of change in general. In biology, evolution has a very specific meaning, namely the application of a generative variation-selective retention scheme to change. Applying this to the administrative sciences is more exacting: describing what the variation consists of, how replication of the generated variation occurs and delineating the population from which the selection is made are far from easy. While it is the intention of this special (...) issue as a whole to provide some empirical examples of evolutionary change in the public and private sectors, this introduction will lay out the main lines of thought in what is often referred to as universal Darwinism and what this means in the administrative sciences. Key concepts here are generative variation, selective retention, and selective institutional environment. According to the authors, the Darwinian scheme of evolutionary theory focuses on how new ideas or concepts arise, how they propagate and influence wider actor thinking and on how the institutional environment in which they operate affects their differential survival. This evolutionary process is an interplay between actors and replicators (sounds, images, and in this context mostly words) in which it cannot be said in advance which one is fooling the other. (shrink)

Classifying is a fundamental operation in the acquisition of knowledge. Taxonomic theory can help students of cognition, evolutionary psychology, ethology, anatomy, and sociobiology to avoid serious mistakes, both practical and theoretical. More positively, it helps in generating hypotheses useful to a wide range of disciplines. Composite wholes, such as species and societies, are “individuals” in the logical sense, and should not be treated as if they were classes. A group of analogous features is a natural kind, but a group of (...) homologous features is not. Imposing hypotheses justified only on the basis of nominalist, realist, phenomenalist, or conceptualist metaphysics upon the neurophysiology of organisms or upon the causes of behavior exemplifies the “psychologist's fallacy” of William James. Levels should be distinguished from their members and from classes of levels, and the ontological status of entities ranked at levels should be made clear. It is important not to confuse such categories as substance and process with one another. Several genetical terms, such as “gene” and chromosome,” are even more equivocal than has been realized. Discussions about units of selection, behavior, and thinking suffer from the ambiguity of a “unit of” an entity. An important source of misunderstanding about natural selection is the habit of treating it as an “agent”: in an important sense, natural selection does not “act” at all. (shrink)

In this article, against the background of a notion of ‘assembled’ truth, the evolutionary progressiveness of a theory is suggested as novel and promising explanation for the success of science. A new version of realism in science, referred to as ‘naturalised realism’ is outlined. Naturalised realism is ‘fallibilist’ in the unique sense that it captures and mimics the self-corrective core of scientific knowledge and its progress. It is argued that naturalised realism disarms Kyle Stanford’s anti-realist ‘new induction’ threats by showing (...) that ‘explanationism’ and his ‘epistemic instrumentalism’ are just two positions among many on a constantly evolving continuum of options between instrumentalism and full-blown realism. In particular it is demonstrated that not only can naturalised realism redefine the terms of realist debate in such a way that no talk of miracles need enter the debate, but it also promises interesting defenses against inductive- and under-determination-based anti-realist arguments. (shrink)

In the past 150 years there have been many attempts to draw parallels between cultural and biological evolution. Most of these attempts were flawed due to lack of knowledge and false ideas about evolution. In recent decades these shortcomings have been cleared away, thus triggering a renewed interest in the subject. This paper offers a critical survey of the main issues and arguments in that discussion. The paper starts with an explication of the Darwinian algorithm of evolution. It is argued (...) that this ‘formula’ is substrate-neutral, which means that biological evolution might not be the only Darwinian process. Other dynamic systems could evolve as well provided that certain conditions are met. In the case of human culture this seems to be the case. The paper then focuses on the notion of niche construction. It is argued that niche construction plays a crucial role in human evolution because it has altered the sources of natural selection and thus the path of evolution. Next two approaches to cultural evolution are discussed: sociobiology and memetics. I will argue that both approaches have flaws because they either underestimate the influence of culture or they stretch analogies too far. Finally two common objections against the idea of cultural evolution are addressed: Lamarckian inheritance and the issue of guided variation. I will argue that although cultural evolution differs from biological evolution in several respects, these discrepancies do not jeopardize the claim that cultural evolution is essentially Darwinian. (shrink)

This essay offers some reflections on the recent history of the disputes about the relation between history and philosophy of science (HPS) and the merits and prospects of HPS as an intellectual endeavor. As everyone knows, the issue was hotly debated in the 1960s and 1970s. That was the hey-day of the slogan "history without philosophy of science is blind, philosophy without history of science is empty" as well as of the many variations on the theme of HPS as a (...) "marriage of convenience," "intimate relation," or "marriage for the sake of reason." There was a flurry of interest in the early 1990s, as evidenced by sections in the 1992 and 1994 issues of PSA, entitled: "Do the History of Science and the Philosophy of .. (shrink)

Over the last four decades arguments for and against the claim that creative hypothesis formation is based on Darwinian ‘blind’ variation have been put forward. This paper offers a new and systematic route through this long-lasting debate. It distinguishes between undirected, random, and unjustified variation, to prevent widespread confusions regarding the meaning of undirected variation. These misunderstandings concern Lamarckism, equiprobability, developmental constraints, and creative hypothesis formation. The paper then introduces and develops the standard critique that creative hypothesis formation is guided (...) rather than blind, integrating developments from contemporary research on creativity. On that basis, I discuss three compatibility arguments that have been used to answer the critique. These arguments do not deny guided variation but insist that an important analogy exists nonetheless. These compatibility arguments all fail, even though they do so for different reasons: trivialisation, conceptual confusion, and lack of evidence respectively. Revisiting the debate in this manner not only allows us to see where exactly a ‘Darwinian’ account of creative hypothesis formation goes wrong, but also to see that the debate is not about factual issues, but about the interpretation of these factual issues in Darwinian terms. (shrink)

The paper is concerned with the conflicting principles revealed respectively by those who argue for the common school and by those who seek to promote a system of schools that, though maintained by the state, might reflect the different religious beliefs within the community. The philosopher, John Dewey, is appealed to in defence of the common school, though similar ideas are reflected in the developing comprehensive ideal in Britain.

An explicit philosophy and meta-philosophy of positivism, empiricism and popperianism is provided. Early popperianism is argued to be essentially a form of empiricism, the deviations from empiricism are traced. In contrast, the meta-philosophy and philosophy of an evolutionary naturalistic realism is developed and it is shown how the maximal conflict of this doctrine with all forms of empiricism at the meta-philosophical level both accounts for the form of its development at the philosophical level and its defense against attack from nonrealist (...) quarters. Following an earlier article on realism of similar theme (Synthese 26 (1974), 409) this paper then further explores the ramifications of a thoroughgoing realist position. (shrink)

I examine the branch of evolutionary epistemology which tries to account for the character of cognitive mechanisms in animals and humans by extending the biological theory of evolution to the neurophysiological substrates of cognition. Like Plotkin, I construe this branch as a struggling science, and attempt to characterize the sort of theory one might expect to find this truly interdisciplinary endeavor, an endeavor which encompasses not only evolutionary biology, cognitive psychology, and developmental neuroscience, but also and especially, the computational modeling (...) of artificial life programming; I suggest that extending Schaffner''s notion of interlevel theories to include both horizontal and vertical levels of abstraction best fits the theories currently being developed in cognitive science. Finally, I support this claim with examples drawn from computational modeling data using the genetic algorithm. (shrink)

There are two interrelated but distinct programs which go by the name evolutionary epistemology. One attempts to account for the characteristics of cognitive mechanisms in animals and humans by a straightforward extension of the biological theory of evolution to those aspects or traits of animals which are the biological substrates of cognitive activity, e.g., their brains, sensory systems, motor systems, etc. (EEM program). The other program attempts to account for the evaluation of ideas, scientific theories and culture in general by (...) using models and metaphors drawn from evolutionary biology (EET program). The paper begins by distinguishing the two programs and discussing the relationship between them. The next section addresses the metaphorical and analogical relationship between evolutionary epistemology and evolutionary biology. Section IV treats the question of the locus of the epistemological problem in the light of an evolutionary analysis. The key questions here involve the relationship between evolutionary epistemology and traditional epistemology and the legitimacy of evolutionary epistemology as epistemology. Section V examines the underlying ontological presuppositions and implications of evolutionary epistemology. Finally, section VI, which is merely the sketch of a problem, addresses the parallel between evolutionary epistemology and evolutionary ethics. (shrink)

This paper addresses the application of positioning theory, a new emerging theoretical scheme on the issue of cultural stereotyping. First, a critical conceptual analysis of the words‘cultural stereotype’is presented. Secondly, the basic tenets of positioning theory are outlined. Finally, it will be demonstrated how the framework of positioning theory can be used to analytically refine the concept of cultural stereotype. The main upshot of the article is that within social psychology, the concept of cultural stereotype is used in a conceptually (...) vague and blurred way and that, with the necessary conceptual refinements, other research-agendas on stereotypes will have to be tackled if social psychologists want to contribute anything to the societal efforts of changing stereotypes. (shrink)

This paper analyses conceptual change. A rejection of pure experience has prompted philosophers of science to adopt a certain perspective from which to view changes of belief. Popper, Kuhn, and others have analysed conceptual change in terms of problems or anomalies, that is, in terms of contingent reasoning about issues posed in the context of an inherited web of belief. This paper explores a more general analysis of conceptual change in dialogue with these philosophers of science. Because changes of belief (...) are not all changes in scientific belief, we seek to unpack conceptual change in terms of dilemmas, as opposed to anomalies or problems. For a start, the notion of a dilemma has to be broader than that of an anomaly since it purports to apply to conceptual change as a whole, not just the transition from one era of normal science to another. In addition, we should detach the notion of a dilemma from the objectivism of Popper's world-3 problems. (shrink)

Conceptual engineering wants analytic philosophy to be centered around the assessment and improvement of philosophical concepts. But contemporary debates about conceptual engineering do not engage much with the vast literature on conceptual change that exists in philosophy of science. In this article, I argue that an adequate appreciation of the history of philosophy of science can contribute to discussions about conceptual engineering. Specifically, I show that the evolution of debates over scientific conceptual change arguably demonstrates that, contrary to what is (...) commonly assumed in the literature about conceptual engineering, conceptual change is possible within an externalist metasemantics and that any adequate theory of conceptual change should be metasemantically plastic. (shrink)

Science is a dynamic process in which the assimilation of new phenomena, perspectives, and hypotheses into the scientific corpus takes place slowly. The apparent disunity of the sciences is the unavoidable consequence of this gradual integration process. Some thinkers label this dynamical circumstance a ‘crisis’. However, a retrospective view of the practical results of the scientific enterprise and of science itself, grants us a clear view of the unity of the human knowledge seeking enterprise. This book provides many arguments, case (...) studies and examples in favor of the unity of science. These contributions touch upon various scientific perspectives and disciplines such as: Physics, Computer Science, Biology, Neuroscience, Cognitive Psychology, and Economics. (shrink)

Definitions may seem marginal to the sociological enterprise but can be very useful; however, they can also lead to serious errors. Examples of both are given in this article. Different types of definitions are presented, and their relevance for sociology is highlighted. A stipulative definition, for example, is very useful in sociology, as opposed to lexical and ostensive definitions. The definition of a concept that is used in a sociological analysis has to be sociological in nature, and the concept cannot (...) have the same meaning as it has in everyday language. Additional items to bear in mind when a definition is put together are discussed, including some tips on how to proceed that come from political science (Sartori, Collier, Goertz). A definition can also be very helpful in the research process itself by indicating which are the important aspects of some phenomenon to focus on (Weber, Blumer). On the negative side, a term that is not properly defined may lead to misunderstandings as well as to a false sense of agreement with other uses of the term. (shrink)

Welch :263–279, 2017) has recently proposed two possible explanations for why the field of evolutionary biology is plagued by a steady stream of claims that it needs urgent reform. It is either seriously deficient and incapable of incorporating ideas that are new, relevant and plausible or it is not seriously deficient at all but is prone to attracting discontent and to the championing of ideas that are not very relevant, plausible and/or not really new. He argues for the second explanation. (...) This paper presents a twofold critique of his analysis: firstly, the main calls for reform do not concern the field of evolutionary biology in general but rather, or more specifically, the modern evolutionary synthesis. Secondly, and most importantly, these calls are not only inspired by the factors, enumerated by Welch, but are also, and even primarily, motivated by four problematic characteristics of the modern synthesis. This point is illustrated through a short analysis of the latest reform challenge to the modern synthesis, the so-called extended evolutionary synthesis. We conclude with the suggestion that the modern synthesis should be amended, rather than replaced. (shrink)

The problem analysed in this paper is whether we can gain knowledge by using valid inferences, and how we can explain this process from a model-theoretic perspective. According to the paradox of inference (Cohen & Nagel 1936/1998, 173), it is logically impossible for an inference to be both valid and its conclusion to possess novelty with respect to the premises. I argue in this paper that valid inference has an epistemic significance, i.e., it can be used by an agent to (...) enlarge his knowledge, and this significance can be accounted in model-theoretic terms. I will argue first that the paradox is based on an equivocation, namely, it arises because logical containment, i.e., logical implication, is identified with epistemological containment, i.e., the knowledge of the premises entails the knowledge of the conclusion. Second, I will argue that a truth-conditional theory of meaning has the necessary resources to explain the epistemic significance of valid inferences. I will explain this epistemic significance starting from Carnap’s semantic theory of meaning and Tarski’s notion of satisfaction. In this way I will counter (Prawitz 2012b)’s claim that a truth-conditional theory of meaning is not able to account the legitimacy of valid inferences, i.e., their epistemic significance. (shrink)

Since Toulmin’s discovery of the field-dependency of arguments, and Perelman’s emphasis on audiences, argumentation theorists have developed the notion of “spheres of arguments” or “argument communities”. Since argument communities are communities of discourse guided by the participants’ cog-nitive experiences, they are also cognitive communities. “Cognitive breaks” between different argument communities will produce misunderstanding and futile argument. The paper will investigate “cognitive breaks” and describe in which ways they may obstruct reasonable argumentation between communities.

The 20th century philosophy of science began on a positivistic note. Its focal point was scientific explanation and the hypothetico-deductive (HD) framework of explanation was proposed as the standard of what is meant by “science.” HD framework, its inductive and statistical variants, and other logic-based approaches to modeling scientific explanation were developed long before the dawn of the information age. Since that time, the volume of observational data and power of high performance computing have increased by several orders of magnitude (...) and reshaped the practice and concept of science, and indeed, the philosophy of science. A new observational-inductive (OI) framework for scientific research is emerging due to recent developments in sensors, data systems, computers, and knowledge discovery techniques. We examine the nature of these changes and their impact on the question of what is meant by “science” after discussing five examples of the OI framework, and conclude that the HD and OI frameworks are complementary and synergistic. (shrink)

Class discussions about ethical, social, philosophical and other controversial issues frequently result in disagreement. This leaves a problem: has there been any progress? This article introduces and analyses the concept ‘collective epistemic progress’ in order to resolve this problem. The analysis results in four main ways of understanding, guiding and judging collective epistemic progress in the face of seemingly irreconcilable differences. Although it might seem plausible to analyse and judge collective epistemic progress by the increasing vigour of the dialogue community, (...) by how long the conversation is continued, or by how close we have moved towards consensus or the truth, I argue that these fail to provide serviceable analyses or epistemic criteria. Yet, we might instead analyse, understand and judge progress using epistemic criteria such as whether we have: furthered the one distributed process of inquiry or deliberation; and reached mutual understanding; inquiry milestones; or consensus about our procedures. (shrink)

According to the instrumentalism of Friedman and Machlup it is irrelevant whether the explanatory principles or “assumptions” of a theory satisfy any criterion of “plausibility,” “realism,” “credibility,” or “soundness.” In this view the main or only criterion for selecting theories is whether a theory yields empirically testable implications that turn out to be consistent with observations. All we should require or expect from a theory is that it is a useful instrument for the purpose of prediction. Considerations of the “efficiency” (...) of a theory for the purpose of ordering our experiences are permitted, but considerations of “plausibility” are not. “Explanatory assumptions” are not really explanatory in the sense that they claim to represent underlying causal processes in reality; they only serve to generate, by deduction, implications that are in accordance with as many observations as possible. (shrink)

Hull's recent work in evolutionary epistemology is marred by a deep tension. While he maintains that conceptual and biological evolution are both driven by selection processes, he also claims that only the former is globally progressive. In this paper I formulate this tension and present four possible responses (including Hull's). I argue that Hull's position rests on the assumption that there is a goal which is sufficiently general to describe most scientific activity yet precise enough to guide research. Working from (...) within Hull's framework, I argue that a non-progressionist stance is both preferable and more consistent with Hull's basic commitments. (shrink)

This paper is a excursus into a philosophy of science for deployment in the study of sport. It argues for the virtues of Thomas Kuhn's account of the philosophy of science, an argument conducted strategically by contrasting that account with one derived from views of Karl Popper. In particular, it stresses, first, that Kuhn's views have been widely misunderstood; second, that a rectified Kuhnianism can give due weight to truth in science, while recognising that social sciences differ in crucial ways (...) from natural sciences. For, as Kuhn recognised, social sciences do not function in the paradigm-relative way characteristic of natural sciences. Yet there Kuhn's jargon, and especially misguided talk of ?paradigms?, is almost ubiquitous. These thoughts have relevance for three groups. First, as both sports scientists and exercise scientists come to grips with the claims to scientificity of their work, they will need increasingly to locate it within an epistemological framework provided by philosophy of science. So they must begin to take Kuhn's view seriously. Second, social scientists of sport ? faced with the predominant scientism of colleagues in sport and exercise science ? must also recognise alternatives to a postmodernist rejection of the concept of truth, where Kuhn's picture of natural science clarifies one such. Finally, philosophers writing on sport must not let antipathy to scientism close off the options they present or the terms in which they (we!) present them. And that may require debate among ourselves on abstract issues not immediately connected with sport. (shrink)

It is shown how the historiographic purport of Lakatosian methodology of mathematics is structured on the theme of analysis and synthesis. This theme is explored and extended to the revolutionary phase around 1800. On the basis of this historical investigation it is argued that major innovations, crucial to the appraisal of mathematical progress, defy reconstruction as irreducibly rational processes and should instead essentially be understood as processes of social-cognitive interaction. A model of conceptual change is developed whose essential ingredients are (...) the variability of rational responses to new intellectual and practical challenges arising in the cultural environment of mathematics, and the shifting selective pressure of society. The resulting view of mathematical development is compared with Kuhn's theory of scientific paradigms in the light of some personal communications. (shrink)

This paper starts from the point in the early 1970s at which educational theory and research was temporarily structured under the ‘foundation’ disciplines of psychology, sociology, philosophy and history of education. It observes the way the intellectual resources of educational research have become enlarged and enriched and these disciplines themselves fragmented and hybridised to a degree that prompts talk not just of interdisciplinarity but of ‘postdisciplinarity’. The paper argues, however, that without discipline, in the sense of a shared language, a (...) rule governed structure of enquiry—something ‘systematic’—we lose the conditions that make a community of arguers possible. Further, we lose the basis for the special claim which research might otherwise make on our attention and on our belief. (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)

Both biosemiotics and evolutionary epistemology are concerned with how knowledge evolves. (Applied) Evolutionary Epistemology thereby focuses on identifying the units, levels, and mechanisms or processes that underlie the evolutionary development of knowing and knowledge, while biosemiotics places emphasis on the study of how signs underlie the development of meaning. We compare the two schools of thought and analyze how in delineating their research program, biosemiotics runs into several problems that are overcome by evolutionary epistemologists. For one, by emphasizing signs, biosemiotics (...) needs to delineate a semiotic threshold, which is a problem not encountered by evolutionary epistemologists. Instead, the latter recognizes that all organisms are knowers that evolve knowledge, which they recognize to extend toward phenomena produced by organisms such as behavior, cognition, language, culture, science, and technology. Secondly, biosemiotics attempts at continuing adaptationist notions on how organisms relate to their environment, while especially Applied Evolutionary Epistemology comes to redefine the nature of the organism–environment relationship in such a way that it recognizes the spatiotemporal boundedness of existence, which in turn makes adaptationist accounts obsolete. (shrink)

This paper surveys questions about the nature of the Modern Synthesis as a historical event : was it rather theoretical than institutional? When and where did it actually happen? Who was involved? It argues that all answers to these questions are interrelated, and that systematic sets of answers define specific perspectives on the Modern Synthesis that are all complementary.