Escaping from the cartesian mind-set: Heidegger and artificial life

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Abstract

In this paper, I propose a neo-Heideggerian framework for A-Life. Following an explanation of some key Heideggerian ideas, I endorse the view that persistent problems in orthodox cognitive science result from a commitment to a Cartesian subject-object divide. Heidegger rejects the primacy of the subject-object dichotomy; and I set about the task of showing how, by adopting a Heideggerian view, A-Life can avoid the problems that have plagued cognitive science. This requires that we extend the standard Heideggerian framework by introducing the notion of a biological background, a set of evolutionarily determined practices which structure the norms of animal worlds. I argue that optimality/ESS models in behavioural ecology provide a set of tools for identifying these norms, and, to secure this idea, I defend a form of adaptationism against enactivist worries. Finally, I show how A-Life can assist in the process of mapping out biological backgrounds, and how recent dynamical systems approaches in A-Life fit in with the neo-Heideggerian conceptual framework.

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APA

Wheeler, M. (1995). Escaping from the cartesian mind-set: Heidegger and artificial life. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 929, pp. 65–76). Springer Verlag. https://doi.org/10.1007/3-540-59496-5_289

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