This is the first of two articles in which I reflect on “generalized Darwinism” as currently discussed in evolutionary economics. I approach evolutionary economics by the roundabouts of evolutionary epistemology and the philosophy of biology, and contrast evolutionary economists’ cautious generalizations of Darwinism with “imperialistic” proposals to unify the behavioral sciences. I then discuss the continued resistance to biological ideas in the social sciences, focusing on the issues of naturalism and teleology. In the companion article (Callebaut, Biol Theory 6. doi: (...) 10.1007/s13752-013-0087-1, 2011, this issue) I assess generalized Darwinism, concentrating on the roles of theory and model building, generative replication, and the relation between selection and self-organization; and I point to advances in biology that promise to be more fruitful as sources of inspiration for evolutionary economics than the project to generalize Darwinism in its current, “hardened Modern Synthesis” form. (shrink)

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)

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)

Abstract:Charles Darwin died in 1882—more than a hundred years ago. His doctrine, however, is still alive. Recently there has been particular interest in his ideas among philosophers. These ideas are indeed a challenge to (traditional) philosophy: To take Darwin seriously means to revise—or even to destroy—some positions in (traditional) philosophy. Among the philosophical disciplines which have been affected by Darwin's ideas are epistemology and moral philosophy (ethics). In the present paper I shall discuss the epistemological and ethical consequences of Darwin's (...) doctrine from the point of view of contemporary philosophy of biology; I shall give a brief outline of evolutionary epistemology and evolutionary ethics which both have caused many controversies. (shrink)

la82 12.00 Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabela normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-fareast-language:EN-US;} A epistemologia evolutiva é uma corrente que tenta explicar o conhecimento humano em conformidade com a descriçáo feita dele pelas ciências biológicas. Deste ponto de vista a seleçáo natural concorre como causa da presença, no ser humano, da atitude (...) racional. Uma das principais críticas contra esta corrente epistemológica, proposta por Thomas Nagel, apóia-se no argumento de que um conceito de racionalidade derivado das realizações de uma teoria científica – a teoria da evoluçáo – náo pode ser utilizado para explicar a validade universal das regras segundo as quais esta racionalidade opera. Esta crítica pode, segundo a tese aqui proposta, ser suficientemente respondida, a partir de uma consideraçáo adequada da noçáo de natureza humana, como composta de princípios e mecanismos que estariam na origem da capacidade racional encontrada no ser humano. Michael Ruse oferece uma estratégia de resposta do ponto de vista naturalista. O que se afirma neste trabalho é que há uma outra estratégia de resposta possível à crítica de Nagel contra a legitimidade da epistemologia evolutiva, que se apóia na analogia entre a evoluçáo biológica e a evoluçáo do conhecimento no ambiente da cultura. (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)