This paper aims to justify the concept of natural intelligence in the biosemiotic context. I will argue that the process of life is (i) a cognitive/semiotic process and (ii) that organisms, from bacteria to animals, are cognitive or semiotic agents. To justify these arguments, the neural-type intelligence represented by the form of reasoning known as anthropic reasoning will be compared and contrasted with types of intelligence explicated by four disciplines of biology – relational biology, evolutionary epistemology, biosemiotics and the systems (...) view of life – not biased towards neural intelligence. The comparison will be achieved by asking questions related to the process of observation and the notion of true observers. To answer the questions I will rely on a range of established concepts including SETI (search for extraterrestrial intelligence), Fermi’s paradox, bacterial cognition, versions of the panspermia theory, as well as some newly introduced concepts including biocivilisations, cognitive/semiotic universes, and the cognitive/semiotic multiverse. The key point emerging from the answers is that the process of cognition/semiosis – the essence of natural intelligence – is a biological universal. (shrink)

One of the most deeply entrenched ideas in Popper's philosophy is the analogy between the growth of scientific knowledge and the Darwinian mechanism of natural selection. Popper gave his first exposition of these ideas very early on. In a letter to Donald Campbell, 1 Popper says that the idea goes back at least to the early thirties. 2 And he had a fairly detailed account of it in his "What is dialectic?", a talk given in 1937 and published in 1940: (...) 3 If we want to explain why human thought tends to try out every conceivable solution for any problem with which it is faced, then we can appeal to a highly general sort of regularity. The method by which a solution is approached is .. (shrink)

This paper considers a central objection to evolutionary epistemology. The objection is that biological and epistemic development are not analogous, since while biological variation is blind, epistemic variation is not. The generation of hypotheses, unlike the generation of genotypes, is not random. We argue that this objection is misguided and show how the central analogy of evolutionary epistemology can be preserved. The core of our reply is that much epistemic variation is indeed directed by heuristics, but these heuristics are analogous (...) to biological preadaptations which account for the evolution of complex organs. We also argue that many of these heuristics or epistemic preadaptations are not innate but were themselves generatedby a process of blind variation and selective retention. (shrink)

In this paper I consider the view that scientific change is the result of a selection process which has the same structure as that which drives natural selection. I argue that there are important differences between organic evolution and scientific growth. First, natural selection is much more constrained than scientific change; for example it is hard to populations of organisms to escape local maxima. Science progresses; it may not even make sense to say that biological evolution is progressive. Second, natural (...) selection depends for its power on the specifics of its domain, so I doubt that there is much point in seeing a selective regime in science as an instance of a more general family of selective regimes. Third, the replicator/interactor distinction fits scientific change much less well than biological evolution. But a family of selective theories of science can be identified ranging from the very ambitious to the very modest. Though the very ambitious programs of evolutionary epistemology are in trouble, there is space for one which is not a trivial redescription of what everyone already knows, but which is sensitive to the peculiarities of its domain. That selective theory explains important aspects of the community organization of science, an organization which is central to scientific progress. (shrink)

One of the principal difficulties in assessing Science as aProcess (Hull 1988) is determining the relationship between the various elements of Hull's theory. In particular, it is hard to understand precisely how conceptual selection is related to Hull's account of the social dynamics of science. This essay aims to clarify the relation between these aspects of his theory by examining his discussion of the``demic structure'' of science. I conclude that the social account cando significant explanatory work independently of the selectionistaccount. (...) Further, I maintain that Hull's treatment of the demicstructure of science points us toward an important set of issues insocial epistemology. If my reading of Science as a Process iscorrect, then most of Hull's critics (e.g., those who focus solelyon his account of conceptual selection) have ignored promisingaspects of his theory. (shrink)

Evolutionary epistemologists aim to explain the evolution of cognitive capacities underlying human knowledge and also the processes that generate knowledge, for example in science. There can be no doubt that our cognitive capacities are due in part to our evolutionary heritage. But this is an uninformative thesis. All features of organism have indeed been shaped by evolution. A substantive evolutionary explanation of cognition would have to provide details about the evolutionary processes involved. Evolutionary epistemology has not provided any details. Considering (...) progress of theorizing in science, evolutionary epistemologists have proposed many different analogies between natural selection and selection in science. As yet, the analogies have not been fruitful. The entire program of evolutionary epistemology is programmatic. Evolutionary epistemologists have also moved beyond explanation to justification, the primary issue in traditional epistemology. It turns out that their program presupposes that we can justify knowledge claims in traditional ways. Evolutionary biology is not a proper tool for the justification of beliefs. (shrink)

The relationship between economics and the philosophy of natural science has changed substantially during the last few years. What was once exclusively a one-way relationship from philosophy to economics now seems to be much closer to bilateral exchange. The purpose of this paper is to examine this new relationship. First, I document the change. Second, I examine the situation within contemporary philosophy of science in order to explain why economics might have its current appeal. Third, I consider some of the (...) issues that might jeopardize the success of this philosophical project. (shrink)

Contemporary empiricism has attempted to ground its analysis of science in a falsificationism based in selection theory. This paper links these evolutionary epistemologies with commitments to certain epistemological and ontological assumptions found in the later work of K. Popper, D. Campbell, and D. Hull, I argue that their assumptions about the character of contemporary empiricism are part of a shared paradigm of epistemological explanation which results in unresolved tensions within their own projects. I argue further that their claim to be (...) doing a science of science is not defensible. Hull's selectionism is analyzed to show how this epistemological agenda has played itself out in late empiricism. I suggest some directions that Hull might take toward an historical epistemology. (shrink)

In this paper I use data from interviews conducted with coral scientists to examine the socio-ecological dimensions of science, i.e. how science shapes and is shaped by the living world around it. I use two sets of ideas in particular: niche construction and socio-ecological value frameworks. Using these I offer socio-ecological criteria by which coral scientists evaluate the activities of coral science, more specifically which living systems are intended to benefit from coral science as an activity, and the motivations behind (...) this. The overall picture I present is one of coral science as activity primarily aimed at sustaining a diverse set of living systems, including humans, other organisms, species, and ecosystems, and the social practices associated with these. The value relations between scientists and aspects of these processes dictate how they respond to shifts in the socio-ecological context coral science is embedded in, explaining why the activities associated with coral science are changing as reef ecosystems are threatened. The implication is that natural sciences more generally are entangled with a greater number of social and ecological process than is typically considered, and that shifts in the activities undertaken by scientists may be driven by ecological as well as social and epistemic processes. (shrink)

Ernst Mach’s definition of the relationship between thoughts and facts is well known, but the question of how Mach conceived of their actual relationship has received much less attention. This paper aims to address this gap in light of Mary B. Hesse’s view of a postempiricist approach to natural science. As this paper will show, this view is characterized by a constructivist conception of the relationship between theory and facts that seems to be consistent with Mach’s observations on scientific knowledge. (...) The paper first explores Hesse’s account of postempiricism and her project of a new epistemology. It then considers Ernst Mach’s conception of facts as the middle term of a triad of concepts that includes thoughts and elements as extreme terms. Finally, the paper will offer concluding remarks on Mach’s contribution to the debate on scientific realism and his attempt to redefine the notions of correspondence and objectivity in science. (shrink)

This paper has a twofold aim. On the one hand, it explores the extent to which Mach was inspired by Kant’s approach to philosophical inquiry and tried to further elaborate it through his historico-critical method for enlightening scientific knowledge claims. On the other hand, it argues that the focus on the situated character of these claims that is implied in Mach’s epistemology makes it possible to compare his view to recent attempts to defend a perspectival realist account of scientific knowledge, (...) thus revealing the relevance of Mach’s own approach as a methodology in the philosophy of science. (shrink)

This chapter critically analyzes evolutionary epistemology as a theoretical framework for the study of science as a historical and cultural phenomenon. As spelled out by Campbell in the 1970s, evolutionary epistemology has an ambitious goal: it aims at understanding the complex relations between bio- logical evolution, especially the biological evolution of human cognition, and the cultural evolution of scientific knowledge. It eventually aims at forming an integrated causal theory of the evolution of science, starting with the evo- lution of human (...) cognition. In this chapter, the author considers Campbell’s project and specifies why it is still today a worthwhile project for explain- ing the evolution of science as a specific case of cultural evolution. But he also criticizes Campbell’s evolutionary epistemology for assuming that blind variation and selective retention are the processes through which science evolves. This assumption, the author argues, is at odds with much of what we know about scientific cognition and the history of science. He advocates (1) dropping the methodological constraint of looking for processes of blind variation and selective retention at the expense of other constructive processes and mechanisms of knowledge production; but (2) retaining the integrative point of evolutionary epistemology, which implies taking seriously the results of evolutionary psychology; and (3) retaining the populational framework for explaining the history of science, which means questioning why some scientific beliefs and practices eventually spread and stabilize in a scientific community. We end up with an updated research program for evolutionary epistemology, which faces new challenges. (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 special issue for the Journal for General Philosophy of Science is devoted to exploring the impact and many ramifications of current research in evolutionary epistemology. Evolutionary epistemology is an inter- and multidisciplinary area of research that can be divided into two ever-inclusive research avenues. One research avenue expands on the EEM program and investigates the epistemology of evolution. The other research avenue builds on the EET program and researches the evolution of epistemology. Since its conception, EE has developed three (...) schools of thought: adaptationist, non-adaptationist, and applied EE. Although diverse in outlook and theoretical background, these research avenues and schools share the same agenda of understanding how knowledge evolves, and how it relates to the world. In this paper, we first explain wherefrom evolutionary epistemological schools of thought developed, and then we highlight current debates in EE by briefly reviewing the papers that form part of this special issue. (shrink)

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The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria to ecosystems, (...) in the process of natural learning executed by the universal algorithm. This algorithm, summarized by the acronym IGPT (information-gain-process-translate) incorporates natural cognitive methods including sensing/perception, memory, communication, and decision-making. Finally, the biosphere becomes the distributed network of communicative interactions between biological systems termed the interactome. The concept of interactome is based on Gregory Bateson’s natural epistemology known as the “ecology of mind”. Mimicking Bateson’s approach, the interactome may also be designated “physiology of mind”—the principle behind regulating the biosphere homeostasis. (shrink)

En este trabajo se pretende revisar la controversia que Popper mantuvo con la teoríadarwiniana de la evolución. Se señala la presencia de nociones y ejemplos tomados deldarwinismo ya en los escritos de los años 30, el cuestionamento del evolucionismo al hiloda refutación del historicismo durante los cuarenta y los posteriores intentos por rehabilitarsu estatuto científico a partir de la década de los 60. Esta secuencia permite plantear que, sibien Popper trató de mostrar que su pensamiento social y político se funda (...) principalmenteen la epistemología, cabe considerar si son más bien sus valores sociales y políticos los queestablecen el carácter y los límites de su proyecto epistemológico, así como del resto de supensamiento. Se sugiere que el deseo de refutar el pretendido estatus científico de la teoríamarxista pudo ser la razón que lo determinaría a cuestionar el darwinismo que, por otraparte, siempre estuvo dispuesto a aceptar. (shrink)

The paper aims to investigate some aspects of Ernst Mach’s epistemology in the light of the problem of human orientation in relation to the world (Weltorientierung), which is a main topic of Western philosophy since Kant. As will be argued, Mach has been concerned with that problem, insofar as he developed an original pragmatist epistemology. In order to support my argument, I firstly investigate whether Mach defended a nominalist or a realist account of knowledge and compare his view to those (...) elaborated by other pragmatist thinkers, such as W. James, H. Vaihinger and H. Poincaré. Secondly, the question of what does it mean, for Mach, to orient ourselves in science is addressed. Finally, it will be argued that, although Mach tried to keep his epistemology restricted to a mere operational and economical account of science, that question involves the wider plane of practical philosophy. (shrink)

The paper explores the consistency between William James's and Friedrich Nietzsche's approaches towards the general philosophical issue of relativism. As will be shown, Nietzsche as much as James attempted to develop a non-nihilist strategy for dealing with the problem of truth based on the idea that a revaluaton of that notion is in fact possible on practical i.e. experiential basis.

The aim of this paper is to generalize a pair of concepts that are widely used in the history of science, in art history and in historical linguistics – the concept of internal and external history – and to replace the often very vague talk of ‘historical narratives’ with this conceptual framework of internal versus external history. I argue that this way of framing the problem allows us to see the possible alternatives more clearly – as a limited number of (...) possible relations between internal and external history. Finally, I argue that while external history is metaphysically prior to internal history, when it comes to historical explanations, we need both. (shrink)

Universal Darwinism provides a methodology to study the evolution of anatomical form and sociocultural behavior that centers on defining the units and levels of selection, and it identifies the conditions whereby natural selection operates. In previous work, I have examined how this selection-focused evolutionary epistemology may be universalized to include theories that associate with an extended synthesis. Applied evolutionary epistemology is a metatheoretical framework that understands any and all kinds of evolution as phenomena where units evolve by mechanisms at levels (...) of an ontological hierarchy; and it provides three heuristics to search for these units, levels and mechanisms. The heuristics are applicable to language and sociocultural evolution, and here, we give an in-depth analysis of how the unit-heuristic can be implemented into language origin and evolution studies. The importance of developing hierarchy theories is also more fully explained. (shrink)

It is argued that fundamental to Piaget's life works is a biologically based naturalism in which the living world is a nested complex of self-regulating, self-organising (constructing) adaptive systems. A structuralist-rationalist overlay on this core position is distinguished and it is shown how it may be excised without significant loss of content or insight. A new and richer conception of the nature of Piaget's genetic epistemology emerges, one which enjoys rich interrelationships with evolutionary epistemology. These are explored and it is (...) shown how a regulatory systems evolutionary epistemology may be embedded within genetic epistemology. (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)

This paper proposes a biosemiotic conception of theories, as non-intentional organic theories, which is based on an analysis and comparison of philosopher Norwood Russell Hanson’s account of theories and zoologist Jakob von Uexküll’s theory of organisms. It is argued that Hanson’s proposals about scientific theories and their relation to observation are semiotic in nature and that there exists a correspondence between Hanson’s depiction of the relationship between theories, observation, and reality and von Uexküll’s views on the relationship between organisms and (...) their environments. This correspondence supports an account of theories that depicts them as organic extensions of our perceptual physiology. Among the epistemological consequences of this account are the following: The kind of correspondence that is established through theories between a subject and reality is related rather to a subject’s actions than to a faithful representation of every aspect of the world, it suggests a strong emphasis on the creative aspects of knowledge acquisition, and it urges a reassessment of the evolutionary epistemology of theories. (shrink)

Chapter 1 (To know in order to survive) & Chapter 2 (A critique of evolved reason) explain human knowledge and its limits from an evolutionary point of view. Chapter 3 (Captured in our Cockpits) explains the evolution of consciousness, using value driven decision theory. Chapter 4-6 (Chapter 4 Sociobiology, Chapter 5 Culture: the Human Arena), Chapter 6, Genes, Memes, and the Environment) show that to understand culture you have at least to deal with 4 levels: genes, brains, the environment, culture. (...) Chapter 7-8 (Why some apes became humans) give a model of human evolution in which Alexander's concept of 'ecological dominace' plays a crucial role. (shrink)

Popper is well known for rejecting a logic of discovery, but he is only justified in rejecting the same type of logic of discovery that is denied by consequentialism. His own account of hypothesis generation, based on a natural selection analogy, involves an error-eliminative logic of discovery and the differences he admits between biological and conceptual evolution suggest an error-corrective logic of discovery. These types of logics of discovery are based on principles of plausibility that are used in the generation (...) as opposed to the preliminary evaluation of hypotheses. The normative relevance of these principles is grounded in the distinction between strategic and definitory rules. (shrink)

Evolutionary theory has been a very popular topic in recent years and it has been claimed that it can make a major contribution to the advance of several sciences such as medicine, psychology, psychopathology and sociology: even providing them with new paradigms. This paper explores the possibility that nursing could benefit similarly by adopting an evolutionary perspective. After sketching the scientific and philosophical background to the recent developments concerning evolution, and briefly mentioning the chief features of evolutionary theory, the paper (...) discusses whether it makes sense to talk of ‘evolutionary nursing’, and whether there are any benefits in doing so. It uses a comparison with Darwinian medicine and evolutionary psychology. Several problems and objections are considered. The modest conclusion is reached that nurses need to adopt an evolutionary perspective to serve as a guide for some of their research and a source for research hypotheses. They also need to be informed about evolutionary ideas so as to be aware of the developments in the disciplines with which they work, and this understanding will assist them in maintaining vigilance against the misuse of science, religion and politics on behalf of their patients. (shrink)

Words such as selfish and altruistic that describe conduct toward self and others are notoriously ambiguous in everyday language. I argue that the ambiguity is caused, in part, by the coexistence of multiple belief systems that use the same words in different ways. Each belief system is a relatively coherent linguistic entity that provides a guide for human behavior. It is therefore a functional entity with design features that dictate specific word meaning. Since different belief systems guide human behavior in (...) different directions, specific word meanings cannot be maintained across belief systems. Other sources of linguistic ambiguity include i) functional ambiguity that increases the effectiveness of a belief system, ii) ambiguity between belief systems that are functionally identical but historically distinct, and iii) active interference between belief systems. I illustrate these points with a natural history study of the word selfish and related words in everyday language. In general, language and the thought that it represents should be studied in the same way that ecologists study multi-species communities. (shrink)

This article starts from the assumption that there are various innate contributions to our view of the world and explores the epistemological implications that follow from this. Specifically, it explores the idea that if certain components of our worldview have an evolutionary origin, this implies that these aspects accurately depict the world. The simple version of the argument for this conclusion is that if an aspect of mind is innate, it must be useful, and the most parsimonious explanation for its (...) usefulness is that it accurately depicts the world. There are a number of important criticisms of this argument. These include the idea that evolutionary justifications are circular, that evolved mental content and principles are not necessarily accurate, and that, if the argument is taken seriously, it has some highly dubious consequences. These criticisms necessitate various qualifications to the initial argument. Nonetheless, it is argued that, in some cases, important conclusions can be drawn about the world from an analysis of evolved contributions to our view of the world. An evolutionary approach cannot provide an ultimate justification for any belief; however, in certain circumstances, it supports the conclusion that a given belief is a reasonable first approximation. To the extent that innate content and principles pertain to topics in metaphysics, they can be viewed as a naturalistic source of metaphysical knowledge. (shrink)

Human knowledge is a phenomenon whose roots extend from the cultural, through the neural and the biological and finally all the way down into the Precambrian “primordial soup.” The present paper reports an attempt at understanding this Greater System of Knowledge (GSK) as a hierarchical nested set of selection processes acting concurrently on several different scales of time and space. To this end, a general selection theory extending mainly from the work of Hull and Campbell is introduced. The perhaps most (...) drastic change from previous similar theories is that replication is revealed as a composite function consisting of what is referred to as memory and synthesis. This move is argued to drastically improve the fit between theory and human-related knowledge systems. The introduced theory is then used to interpret the subsystems of the GSK and their interrelations. This is done to the end of demonstrating some of the new perspectives offered by this view. (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)

Ludwig Boltzmann is one of the foremost responsible for the development of modern atomism in thermodynamics. His proposition was revolutionary not only because it brought a new vision for Thermodynamics, merging a statistical approach with Newtonian physics, but also because he produced an entirely new perspective on the way of thinking about and describing physical phenomena. Boltzmann dared to flirt with constructivism and realism simultaneously, by hypothesizing the reality of atoms and claiming an inherent probabilistic nature related to many particles (...) systems. Boltzmann faced criticism from the positivists, who rejected the hypothesis of the atom as a matter of principle, and also from physicists, who rejected the idea of a classical bounded system that does not follow deterministic mechanical laws. We consider that Boltzmann thermodynamics has emerged as a systemic theory that deals with macroscopic bodies using collective variables; it was reformulated to a kinetic theory of gases, and subsequently to statistical mechanics. From the theoretical physical point of view, Boltzmann advocates an approach to thermodynamics based on mechanics and was one of the founders of statistical mechanics, together with ideas by Maxwell, Clausius and Gibbs. Subsequently, statistical mechanics has also influenced the development of quantum mechanics and information theory. Using an evolutionary epistemological perspective as a metaphor to describe the physical entities claimed in Boltzmann propositions, we interpret his work as a selected theory that gained attributes of reality and “survived” during a scientific-contextual competition to be more adapted, in the sense that it was able to better explain physical phenomena, and also generated “descendants”. (shrink)

Philosophical reflection on the idea of progress is undergoing a recent revival, especially because of renewed interest in the broad implications of the theory of biological evolution and in its applicability to epistemology. In this paper, the main interest lies with the following two questions: What kind of word is ‘progress’? Does it refer to a process that can be detected empirically? In the first section, three ways of understanding biological progress are evaluated. It is shown that ambiguity arises in (...) each of these ways due to the arbitrary and inevbitable choice of evaluative criteria involved. The second section of the paper deals with cognitive progress. According to evolutionary epistemology, the picture we have of the world at any one time is less approximate than the ones we had before it. We are converging onto the correct description. Problems arise here because one must have, just as in the previous cases, a pre-established evaluative criterion. The third section of the paper draws some implications from these conclusions and applies them to the understanding of cultural and moral progress in the most general sense. The final section of the paper brings together the insights of the previous sections so as to highlight some logical features of the concept of progress that prevent its exhaustive analysis. (shrink)

The primary outcome of natural selection is adaptation to an environment. The primary concern of epistemology is the acquistion of knowledge. Evolutionary epistemology must therefore draw a fundamental connection between adaptation and knowledge. Existing frameworks in evolutionary epistemology do this in two ways; (a) by treating adaptation as a form of knowledge, and (b) by treating the ability to acquire knowledge as a biologically evolved adaptation. I criticize both frameworks for failing to appreciate that mental representations can motivate behaviors that (...) are adaptive in the real world without themselves directly corresponding to the real world. I suggest a third framework in which mental representations are to reality as species are to ecosystems. This is a many-to-one relationship that predicts a diversity of adaptive representations in the minds of interacting people. As “species of thought”, mental representations share a number of properties with biological species, including isolating mechanisms that prevent them from blending with other representations. Species of thought also are amenable to the empirical methods that evolutionists use to study adaptation in biological species. Empirical studies of mental representations in everyday life might even be necessary for science to succeed as a normative “truth-seeking” discipline. (shrink)

Roy Sorensen advances an evolutionary explanation of our capacity for thought experiments which doubles as a naturalized epistemological justification. I argue Sorensens explanation fails to satisfy key elements of environmental-selectionist explanations and so fails to carry epistemic force. I then argue that even if Sorensen succeeds in showing the adaptive utility of our capacity, he still fails to establish its reliability and hence epistemic utility. I conclude Sorensens account comes to little more than a just-so story.

The compatibility of scientific realism and evolutionary epistemology is a controversial issue in contemporary philosophy of science. Scientific realism is the view that scientific theories aim to describe the true nature of reality, while evolutionary epistemology is the view that scientific knowledge is the product of natural selection and adaptation. Some philosophers argue that evolutionary epistemology undermines the epistemic status of scientific theories and thus poses a serious challenge to scientific realism. This paper examines this problem and explores whether scientific (...) realism can be reconciled with evolutionary epistemology. The paper argues that critical rationalism (CR), a philosophical approach that rejects justificationism and emphasizes the role of criticism, rationality, and objectivity in science, can provide a viable framework for integrating scientific realism and evolutionary epistemology. The paper shows that by adopting a non-justificationist fallibilist stance toward scientific theories, CR can reconcile the realist and the evolutionary views on scientific knowledge. (shrink)