Societal collapse has been a perennial concern of humanity, at least since the early Greeks. Recent publication of Jared Diamond's Collapse: How Societies Choose to Fail or Succeed and Ervin Laszlo's The Chaos Window: The World at the Crossroads renew this concern. Despite the urgency in these and many similar calls to action, no consensus theory and practice of evolutionary civilization exists. This article calls for collaborative action by the evolutionary systems community and related disciplines to provide insight into what (...) has been dubbed "the most important question in the world today" (Smith, 2005, p. 436). (shrink)

: This article describes a psychological test of Hull's (1988) theory of science as an evolutionary process by seeing if it can account for how scientists sometimes remember and cite the scientific literature. The conceptual adequacy of Hull's theory was evaluated by comparing it to Bartlett's (1932) seminal theory of human remembering. Bartlett found that remembering is an active, reconstructive process driven by a schema that biases recall in the direction of proto- typicality and personal involvement. This account supports Hull's (...) theory of science because it shows that the characteristics of reconstructive remembering are consistent with the generic properties of an evolutionary process. The empirical adequacy of Hull's theory was evaluated by comparing the predictions made from this evolutionary viewpoint against evidence from the history of science. Six cases studies of well-known psychological experiments that had been subject to repeated miscitation errors were collected and reviewed. All six case studies revealed a systematic pattern of distortions that is consistent with the schema-induced biases of reconstructive remembering. These findings support Hull's claim that science is an evolutionary process with scientists as interactors, scientific beliefs as replicators, and schemata as means for that replication. (shrink)

The field of the philosophy of biology is flourishing in its aim to evaluate and rethink the view inherited from the previous century ---the Modern Synthesis. Different research areas and theories have come to the fore in the last decades in order to account for different biological phenomena that, in the first instance, fall beyond the explanatory scope of the Modern Synthesis. This thesis is anchored and motivated by this revolt in the philosophy of biology. -/- The central target in (...) this context is the possibility of naturalizing teleology, a classical nightmare for the history of biology itself. This requires, principally, understanding the causes of teleological explanations without assuming an unfashioned backward causation of sorts. As the riddles of teleological explanations are about their temporal dimension, I analyze different temporal scales of biological processes: evolutionary, developmental, and physiological. -/- The first one is the one defended in the context of the Modern Synthesis. As expected, one of the aims of this thesis is to evaluate the adequacy of an evolutionary account of teleological explanation. The scrutiny is negative. Evolutionary explanations in the context of the Modern Synthesis lack the necessary causal roots to naturalize teleology. Concerning the physiological scale, a long tradition pushed up by Kant and the organicist movement in the 20th century allows us to better understand how teleological explanations can be naturalized in physiological process. The key notions in this temporal scale are self-organization and the recursive, looped character of physiological process. While the physiological scale may be suitably accounted by contemporaries views, such as Autonomous Systems Theory, different central teleological phenomena remain unexplained from a purely physiological perspective. In particular, different issues concerning the (adaptive) construction of organism ---such as plasticity, robustness, variation, novelty, inheritance--- deserve an ontogenetic analysis. -/- The principal aim of this thesis is to provide a theory of teleological development that falls beyond the Modern Synthesis' framework and is prompted by different insights from the history of biology. I call it Agential Teleosemantics. It rests on two central pillars. First, that developmental processes, beyond any gene-centered stance, can be understood in informational terms; i.e. developmental processes are about the interaction of developmental resources conveying biological information. The second ingredient is agentivity, namely the idea that development is regulated by an agentive system according to the adaptiveness of the phenotypic outcomes produced. The role of agency in Agential Teleosemantic is equivalent to the role of genes in the Modern Synthesis: it is responsible for explaining the order and the adaptive complexity in the living realm. -/- The second target of this thesis regards the possibility of naturalizing intentional explanations in cognitive science. The central project involved in such an aim is known as teleosemantics. Classical teleosemantics however is etiological: it explains the teleofunctions of representational systems in terms of evolutionary processes. The different disputes in the contemporary philosophy of biology provide two insights to analyze teleosemantics in cognitive science. First, the challenges against the Modern Synthesis must be extended to the evolutionary approach of etiological teleosemantics. Second, as Agential Teleosemantics suggests an alternative source for teleofunctions ---ontogeny, I offer an attempt to integrate Agential Teleosemantics into cognitive science in order to provide an alternative teleosemantic project to understand intentional explanations in cognitive science. (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)

info:eu-repo/semantics/publishedVersion.

This chapter tries to answer the following question: How should we conceive of the method of mathematics, if we take a naturalist stance? The problem arises since mathematical knowledge is regarded as the paradigm of certain knowledge, because mathematics is based on the axiomatic method. Moreover, natural science is deeply mathematized, and science is crucial for any naturalist perspective. But mathematics seems to provide a counterexample both to methodological and ontological naturalism. To face this problem, some authors tried to naturalize (...) mathematics by relying on evolutionism. But several difficulties arise when we try to do this. This chapter suggests that, in order to naturalize mathematics, it is better to take the method of mathematics to be the analytic method, rather than the axiomatic method, and thus conceive of mathematical knowledge as plausible knowledge. (shrink)

Numerous evolutionary linguists have indicated that human pointing behaviour might be associated with the evolution of language. At an ontogenetic level, and in normal individuals, pointing develops spontaneously and the onset of human pointing precedes as well as facilitates phases in speech and language development. Phylogenetically, pointing behaviour might have preceded and facilitated the evolutionary origin of both gestural and vocal language. Contrary to wild non-human primates, captive and human-reared nonhuman primates also demonstrate pointing behaviour. In this article, we analyse (...) the debates on pointing and its role it might have played in language evolution from a meta-level. From within an Applied Evolutionary Epistemological approach, we examine how exactly we can determine whether pointing has been a unit, a level or a mechanism in language evolution. (shrink)

According to the working definition of the International Big History Association, ‘Big History seeks to understand the integrated history of the Cosmos, Earth, Life and Humanity, using the best available empirical evidence and scholarly methods’. In recent years Big History has been developing very fast indeed. Big History courses are taught in the schools and universities of several dozen countries. Hundreds of researchers are involved in studying and teaching Big History. The unique approach of Big History, the interdisciplinary genre of (...) history that deals with the grand narrative of 13.8 billion years, has opened up a vast amount of research agendas. Big History brings together constantly updated information from the scientific disciplines and merges it with the contemplative realms of philosophy and the humanities. It also provides a connection between the past, present, and future. Big History is a colossal and extremely heterogeneous field of research encompassing all the forms of existence and all timescales. Unsurprisingly, Big History may be presented in very different aspects and facets. In this volume the Big History is presented and discussed in three different ways. In its first part, Big History is explored in terms of methodology, theories of knowledge, as well as showcasing the personal approach of scholars to Big History. The second section comprises such articles that could clarify Big History's main trends and laws. The third part of this book explores the nature of teaching Big History as well as profiling a number of educational methods. This volume will be useful both for those who study interdisciplinary macroproblems and for specialists working in focused directions, as well as for those who are interested in evolutionary issues of Astrophysics, Geology, Biology, History, Anthropology, Linguistics and other areas of study. (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)

In the last decades two different and apparently unrelated lines of research have increasingly connected mathematics and evolutionism. Indeed, on the one hand different attempts to formalize darwinism have been made, while, on the other hand, different attempts to naturalize logic and mathematics have been put forward. Those researches may appear either to be completely distinct or at least in some way convergent. They may in fact both be seen as supporting a naturalistic stance. Evolutionism is indeed crucial for a (...) naturalistic perspective, and formalizing it seems to be a way to strengthen its scientificity. The paper shows that, on the contrary, those directions of research may be seen as conflicting, since the conception of knowledge on which they rest may be undermined by the consequences of accepting an evolutionary perspective. (shrink)

We develop here a semiotic model of evolution. We point out the role of confusion and choice as a condition for semiosis, which is a precondition for semiotic learning and semiotic adaptation. Semiosis itself as interpretation and decision-making between options requires phenomenal present. The body structure of the organism is largely a product of former semiosis. The organism’s body together with the structure of the ecosystem serves also as a scaffolding for the sign processes that carry on the ontogenetic cycle (...) and the organisms’ behaviour, providing the experience-based channels for decision making in the indeterminate situations of choice. The stability and persistence of ontogenesis and behaviour are based on the plasticity, or the multiviality of organic dynamics. The same plasticity or multivial dynamics is providing the material for further potential evolution. Evolution has occurred when some change becomes irreversible via its stabilization, and it usually means a modification of existing constraints, or scaffoldings. Some examples of these processes are described in the article. (shrink)

The notion of `memes' as replicators similar to genes, but concerned with cultural units, was put forward by Dawkins (1976). Blackmore (1999) used this notion to elaborate an ambitious theory designed to account for numerous aspects of human evolution and psychology. Her theory is based on the human capacity for imitation, and although the operation of the `memes' is said to be purely mechanical, the figurative language used implies that their `actions' are purposive. This article will show that imitation had (...) been regarded as important for human advance well before Darwinism. Moreover, at the end of the 19th century descriptions of the functioning of imitation in society had been put forward that closely parallel those given by Blackmore. Hence it is argued that what is convincing about her thesis is not new, and what is new is speculative and highly questionable. (shrink)

Genes are thought to have evolved from long-lived and multiply-interactive molecules in the early stages of the origins of life. However, at that stage there were no replicators, and the distinction between interactors and replicators did not yet apply. Nevertheless, the process of evolution that proceeded from initial autocatalytic hypercycles to full organisms was a Darwinian process of selection of favourable variants. We distinguish therefore between Neo-Darwinian evolution and the related Weismannian and Central Dogma divisions, on the one hand, and (...) the more generic category of Darwinian evolution on the other. We argue that Hull’s and Dawkins’ replicator/interactor distinction of entities is a sufficient, but not necessary, condition for Darwinian evolution to take place. We conceive the origin of genes as a separation between different types of molecules in a thermodynamic state space, and employ a notion of reproducers. (shrink)

My intention is not to get into specific, detailed historical observation about the ways that led the term ‘democracy’ to take on its current meaning, in science as much as in politics, but rather to establish a comparison between the models that political science proposes and interprets as important for the existence of democracy and those that science illustrates as indicators of scientific knowledge constructed in a democratic form. The debate about the contemporary meaning of democracy has generated an extraordinary (...) diversification of models of democracy: from technocratic conceptions of government to conceptions of social life that include widespread political participation. And it is exactly for this reason that the assumption of a specific point of view on the question we are dealing with inevitably brings with it the choice of a model suitable to describe democratic form as a form of politics without further explanation, that is, as a political system with which science measures itself as a cultural category. In this sense, we can consider the passage from the concept of democracy to that of politics and generally of science to be a peaceful one, since politics has been appointed with that set of behaviours and democratic practices (including science) that political culture demands for the social benefit. This demand can be met only on condition that structural obstacles are removed and new cultural and epistemological mediators are introduced. (shrink)

The various behavioral disciplines model human behavior in distinct and incompatible ways. Yet, recent theoretical and empirical developments have created the conditions for rendering coherent the areas of overlap of the various behavioral disciplines. The analytical tools deployed in this task incorporate core principles from several behavioral disciplines. The proposed framework recognizes evolutionary theory, covering both genetic and cultural evolution, as the integrating principle of behavioral science. Moreover, if decision theory and game theory are broadened to encompass other-regarding preferences, they (...) become capable of modeling all aspects of decision making, including those normally considered “psychological,” “sociological,” or “anthropological.” The mind as a decision-making organ then becomes the organizing principle of psychology. (Published Online April 27 2007) Key Words: behavioral game theory; behavioral science; evolutionary theory; experimental psychology; gene-culture coevolution; rational actor model; socialization. (shrink)

The paper considers apprenticeship as a model of education that both teaches technical skills and provides the grounding for personal formation. The research presented is based on long-term anthropological fieldwork with minaret builders in Yemen, mud masons in Mali and fine-woodwork trainees in London. These case studies of on-site learning and practice support an expanded notion of knowledge that exceeds propositional thinking and language and centrally includes the body and skilled performance. Crafts -- like sport, dance and other skilled physical (...) activities -- are largely communicated, understood and negotiated between practitioners without words, and learning is achieved through observation, mimesis and repeated exercise. The need for an interdisciplinary study of communication and understanding from the body is therefore underlined, and the paper suggests a way forward drawing on linguistic theory and recent neurological findings. It is argued that the validation and promotion of skilled practice as 'intelligent' is necessary for raising the status and credibility of apprenticestyle learning within our Western systems of education. (shrink)

In 1961, Ernst Mayr published a highly influential article on the nature of causation in biology, in which he distinguished between proximate and ultimate causes. Mayr argued that proximate causes (e.g. physiological factors) and ultimate causes (e.g. natural selection) addressed distinct ‘how’ and ‘why’ questions and were not competing alternatives. That distinction retains explanatory value today. However, the adoption of Mayr’s heuristic led to the widespread belief that ontogenetic processes are irrelevant to evolutionary questions, a belief that has (1) hindered (...) progress within evolutionary biology, (2) forged divisions between evolutionary biology and adjacent disciplines and (3) obstructed several contemporary debates in biology. Here we expand on our earlier (Laland et al. in Science 334:1512–1516, 2011) argument that Mayr’s dichotomous formulation has now run its useful course, and that evolutionary biology would be better served by a concept of reciprocal causation, in which causation is perceived to cycle through biological systems recursively. We further suggest that a newer evolutionary synthesis is unlikely to emerge without this change in thinking about causation. (shrink)

To be human is to imitate. This is a strong claim, and a contentious one. It implies that the turning point in hominid evolution was when our ancestors first began to copy each other’s sounds and actions, and that this new ability was responsible for transforming an ordinary ape into one with a big brain, language, a curious penchant for music and art, and complex cumulative culture. The argument, briefly, is this. All evolutionary processes depend on information being copied with (...) variation and selection. Most living things on earth are the product of evolution based on the copying, varying and selection of genes. However, once humans began to imitate they provided a new kind of copying and so let loose an evolutionary process based on the copying, varying and selection of memes. This new evolutionary system co-evolved with the old to turn us into more than gene machines. We, alone on this planet, are also meme machines. We are selective imitation devices in an evolutionary arms race with a new replicator. This is why we are so different from other creatures; this is why we alone have big brains, language and complex culture. There are many contentious issues here; the nature and status of memes, the validity of the concept of a replicator, the difference between this and other theories of gene-culture co-evolution, and whether memetics really is necessary, as I believe it is, to explain human nature. I shall outline the basic principles of memetics, show how memes could have driven human evolution, and consider some of these questions along the way. (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)

Niche construction is the process whereby organisms, through their activities and choices, modify their own and each other’s niches. By transforming natural-selection pressures, niche construction generates feedback in evolution at various different levels. Niche-constructing species play important ecological roles by creating habitats and resources used by other species and thereby affecting the flow of energy and matter through ecosystems—a process often referred to as “ecosystem engineering.” An important emphasis of niche construction theory (NCT) is that acquired characters play an evolutionary (...) role through transforming selective environments. This is particularly relevant to human evolution, where our species has engaged in extensive environmental modification through cultural practices. Humans can construct developmental environments that feed back to affect how individuals learn and develop and the diseases to which they are exposed. Here we provide an introduction to NCT and illustrate some of its more important implications for the human sciences. (shrink)

Thought in a Hostile World1 has four ostensible aims: …[1] to develop and vindicate a set of analytical tools for thinking about cognition and its evolution… [2] to develop a substantive theory of the evolution of human uniqueness… [3] to explore, from this evolutionary perspective, the relationship between folk psychology and an integrated scientific conception of human cognition… [4] to develop a critique of, and an alternative to, nativist, modular versions of evolutionary psychology (p. viii). Of these four aims, the (...) most immediately interesting must be [2] and [4], a narrative account of what special features in hominid evolution led to our psychologically unique capacities, and the negative implications of that account for nativist theories that treat these psychological capacities as innate and genetically grounded. These two aims are interesting in part because their conjunction is to say the least, unexpected! Thought in a hostile world is nothing less than a Darwinian argument for something approaching Locke’s Tabula Rasa. (shrink)

Selection theory requires multiple, distinct, simultaneously-actualized states. In cognition, each thought or cognitive state changes the 'selection pressure' against which the next is evaluated; they are not simultaneously selected amongst. Creative thought is more a matter of honing in a vague idea through redescribing successive iterations of it from different real or imagined perspectives; in other words, actualizing potential through exposure to different contexts. It has been proven that the mathematical description of contextual change of state introduces a non-Kolmogorovian probability (...) distribution, and a classical formalism such as selection theory cannot be used. This paper argues that creative thought evolves not through a Darwinian process, but a process of context-driven actualization of potential. (shrink)

In our dealings with animals at least most of us see them as conscious beings. On the other hand the employment of human categories to animals seems to be problematic. Reflecting on the details of human beliefs, for example, casts serious doubt on whether the cat is able to believe anything at all. These theses try to reflect on methodological issues when investigating animal minds. Developing a theory of animal mentality seems to be a test case of the interdisciplinary research (...) programme in cognitive science. From the philosopher`s perspective the most pressing problem is how to talk about animal minds. Can we just employ the vocabulary of human psychology? If not, exploring animal minds contains the non-trivial task of introducing a terminology that allows to see the distinctness of animal minds and to see its connection to the human case. The treatment of some topic in cognitive science has to reach a reflective equilibrium between our intuitions, a phenomenological approach, philosophical conceptual analysis, various empirical approaches and model building. Reflective equilibrium means in this context that we have to reach a coherent model which incorporates as much of our intuitions concerning animal consciousness and integrates at the same time the findings of the different co-operating sciences. There can be various trade-offs in case of conflict between, say, philosophical definitions of mental terms as to be applied to animals, neurophysiology, our reflected intuitions and ethological model building based on a computational theory of animal minds. The paper gives an example of reflective equilibrium in discussing the case for awareness in vertebrates. It considers the role of evolutionary reasoning. The main focus lays on two examples of comparing our human notions with corresponding abilities in animals, and how an appropriate conceptual apparatus dealing with the abilities of animals could be introduced. (shrink)

While purely causal theories of reference have provided a plausible account of the meanings of names and natural kind terms, they cannot handle vacuous theoretical terms. The causal homeostasis theory can but incurs other difficulties. Theories of reference that are intensional and not purely causal tend to be molecularist or holist. Holist theories threaten transtheoretic reference, whereas molecularist theories must supply a principled basis for selecting privileged meaning-determining relations between terms. The causal homeostasis theory is a two-factor molecularist theory, but (...) it fails to provide such a principled basis and collapses into holism. A naturalistic, non-foundationalist holism that deploys strategies of intertheoretic reduction and co-evolutionary pluralism can, however, yield a credible version of transtheoretic reference. (shrink)

Hebb's conception of instinctive behavior permits the conclusion that it is just not human nature to be instinctive: while the ant brain is built for instinctive behavior, the human brain is built for intelligent behavior. Since drives cannot be instincts, even when a human driver becomes driven, human motives are not instincts either. This understanding allows us to dismiss the determinism of the old instinctivism found in Freud's bio-psychological unconscious, and of the new instinctivism, exemplified by Wilson's sociobiology. The latter (...) entails an explanatory shift from instincts to genes, in which the deterministic character of instincts is carried over to genes. Since genes are not instincts this is a mistake. (shrink)

A recent naturalistic epistemological account suggests that there are three nested basic forms of knowledge: procedural knowledge-how, conceptual knowledge-what, and propositional knowledge-that. These three knowledge-forms are grounded in cognitive neuroscience and are mapped to procedural, semantic, and episodic long-term memory respectively. This article investigates and integrates the neuroscientifically grounded account with knowledge-accounts from cognitive ethology and cognitive psychology. It is found that procedural and semantic memory, on a neuroscientific level of analysis, matches an ethological reliabilist account. This formation also matches (...) System 1 from dual process theory on a psychological level, whereas the addition of episodic memory, on the neuroscientific level of analysis, can account for System 2 on the psychological level. It is furthermore argued that semantic memory and the cognitive ability of categorization are linked to each other, and that they can be fruitfully modeled within a conceptual spaces framework. (shrink)

In an attempt to address some long-standing issues of epistemology, Hilary Kornblith proposes that knowledge is a natural kind the identification of which is the unique responsibility of one particular science: cognitive ethology. As Kornblith sees it, the natural kind thus picked out is knowledge as construed by reliabilism. Yet the claim that cognitive ethology has this special role has not convinced all critics. The present article argues that knowledge plays a causal and explanatory role within many of our more (...) fruitful current theories, diverging from the reliabilist conception even in disciplines that are closely related to cognitive ethology, and thus still dealing with knowledge as a natural as opposed to a social phenomenon, where special attention will be given to cognitive neuroscience. However, rather than discarding the natural kind approach altogether, it is argued that many of Kornblith’s insights can in fact be preserved within a framework that is both naturalist and pluralist. (shrink)

This is the first of two papers in which we propose an evolutionary route for the transition from sensory processing to unlimited experiencing, or basic consciousness. We argue that although an evolutionary analysis does not provide a formal definition and set of sufficient conditions for consciousness, it can identify crucial factors and suggest what evolutionary changes enabled the transition. We believe that the raw material from which feelings were molded by natural selection was a global sensory state that we call (...) overall sensation, which is a by-product of the incessant activity of the highly interconnected nervous systems that characterize all neural animals. We argue that global sensory states generated limited experiencing once they became coupled to the simplest kinds of nervous-system-mediated learning, a coupling that occurred in the most ancient taxa of neural animals, which were similar to present-day cnidarians and ctenophores. In such animals, limited experiencing involves a small number of persistent global sensory states. These sensory states, however, do not have a function and do not act as motivational states. As we argue in the next paper, with the evolution of associative learning they evolved into systems that gave animals basic consciousness. (shrink)

McKay & Dennett (M&D) convincingly argue against many proposals for adaptively functioning misbelief, but the conclusion that true beliefs are generally adaptive does not follow. Adaptive misbeliefs may be few in kind but many in number; maladaptive misbeliefs may routinely elude selective pruning; reproductively neutral misbeliefs may abound; and adaptively grounded beliefs may reliably covary with but not truthfully represent reality.

Biologists and economists use models to study complex systems. This similarity between these disciplines has led to an interesting development: the borrowing of various components of model-based theorizing between the two domains. A major recent example of this strategy is economists’ utilization of the resources of evolutionary biology in order to construct models of economic systems. This general strategy has come to be called evolutionary economics and has been a source of much debate among economists. Although philosophers have developed literatures (...) on the nature of models and modeling, the unique issues surrounding this kind of interdisciplinary model building have yet to be independently investigated. In this paper, we utilize evolutionary economics as a case study in the investigation of more general issues concerning interdisciplinary modeling. We begin by critiquing the distinctions currently used within the evolutionary economics literature and propose an alternative carving of the conceptual terrain. We then argue that the three types of evolutionary economics we distinguish capture distinctions that will be important whenever resources of model-based theorizing are borrowed across distinct scientific domains. Our analysis of these model-building strategies identifies several of the unique methodological and philosophical issues that confront interdisciplinary modeling. (shrink)

While evolutionary thinking is increasingly becoming popular in fields of investigation outside the biological sciences, it remains unclear how helpful it is there and whether it actually yields good explanations of the phenomena under study. Here we examine the ontology of a recent approach to applying evolutionary thinking outside biology, the generalized Darwinism approach proposed by Geoffrey Hodgson and Thorbjørn Knudsen. We examine the ontology of populations in biology and in GD, and argue that biological evolutionary theory sets ontological criteria (...) that GD fails to meet. We suggest two options to revise the population concept in GD: reformulating the concept in terms of inheritance and reproduction such that it comes to pick out individuals similar to evolving populations, or trying to build an adequate population concept on a principle of differential retention instead of differential reproduction. 1 Introduction2 Generalized Darwinism2.1 What is generalized Darwinism?2.2 Darwinian principles3 The Ontology of Generalized Darwinism: What Are Populations?3.1 The population concept of generalized Darwinism3.2 The population concept in evolutionary theory4 Locating Evolving Systems in Generalized Darwinism5 Conclusion. (shrink)

The goal of forming a science of intentional behavior requires a more richly detailed account of symbolic systems than is assumed by the authors. Cultural systems are not simply the equivalent in the ideational domain of culture of the purported Baldwin Effect in the genetic domain. © 2014 Cambridge University Press.

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)

The author identifies the major micro-, meso-, and macro-level financial risk shifting factors that contributed to the Great Global Recession and how the absence of a compelling moral vision of responsible financial risk management perpetuated the economic crisis and undermined the recovery by blind reliance upon insufficiently accountable bailouts. The author offers a new theoretical model of Sustainable Stakeholder Capitalism by exercising moral imagination which inclusively and moderately balances four multi-level factors: types of capitalism, moral theories, human nature drives, and (...) credit risk profiles. Finally, the author recommends micro-, meso-, and macro-level practical reforms to prevent a recurrence of the current economic freefall, to re-create systemic global financial institution integrity, and to promote responsible risk management for sustainable global prosperity for current and future generations. (shrink)

This paper investigates hypotheses drawn from two sources: (1) Belsky, Steinberg, and Draper’s (1991) attachment theory model of the development of reproductive strategies, and (2) recent life history models and comparative data suggesting that environmental risk and uncertainty may be potent determinants of the optimal tradeoff between current and future reproduction. A retrospective, self-report study of 136 American university women aged 19–25 showed that current recollections of early stress (environmental risk and uncertainty) were related to individual differences in adult time (...) preference and adult sexual behavior, and that individual differences in time preference were related to adult attachment organization and sexual behavior. These results are consistent with the hypothesis that perceptions of early stress index environmental risk and uncertainty and mediate the attachment process and the development of reproductive strategies. On this view individual differences in time preference are considered to be part of the attachment theoretical construct of an internal working model, which itself is conceived as an evolved algorithm for the contingent development of alternative reproductive strategies. (shrink)

Realism has been a central object of attention among analytical philosophers for some decades. Starting from analytical philosophy, the return of realism has spread into other contemporary philosophical traditions and given birth to new trends in current discussions, as for example in the debates about “new realism.” Discussions about realism focused on linguistic meaning, epistemology, metaphysics, theory of action and ethics. The implications for politics of discussion about realism in action theory and in ethics, however, are not much discussed.

We suggest that human culture exhibits key Darwinian evolutionary properties, and argue that the structure of a science of cultural evolution should share fundamental features with the structure of the science of biological evolution. This latter claim is tested by outlining the methods and approaches employed by the principal subdisciplines of evolutionary biology and assessing whether there is an existing or potential corresponding approach to the study of cultural evolution. Existing approaches within anthropology and archaeology demonstrate a good match with (...) the macroevolutionary methods of systematics, paleobiology, and biogeography, whereas mathematical models derived from population genetics have been successfully developed to study cultural microevolution. Much potential exists for experimental simulations and field studies of cultural microevolution, where there are opportunities to borrow further methods and hypotheses from biology. Potential also exists for the cultural equivalent of molecular genetics in “social cognitive neuroscience,” although many fundamental issues have yet to be resolved. It is argued that studying culture within a unifying evolutionary framework has the potential to integrate a number of separate disciplines within the social sciences. (shrink)

Save for Anthropologists, few social scientists have been among the participants in the discussions about the appropriate structure of a ‘Universal Darwinism’. Yet evolutionary theorizing about cultural, social, and economic phenomena has a long tradition, going back well before Darwin. And over the past quarter century significant literatures have grown up concerned with the processes of change operating on science, technology, business organization and practice, and economic change more broadly, that are explicitly evolutionary in theoretical orientation. In each of these (...) fields of study, the broad proposition put forth by Darwin that change proceeds through a process involving variation, systematic selection, renewed variation... has proved both persuasive and powerful. On the other hand, the evolutionary processes involved in these areas differ in essential ways from those we now know are operative in the evolution of biological species. The objective of this essay is to highlight those differences, which a ‘Universal Darwinism’ needs to encompass, if it is to be broad enough to be a theory that is applicable to the evolution of human cultures as well as evolution in biology. (shrink)

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)

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)