In this paper, I argue that enactivism and computationalism—two seemingly incompatible research traditions in modern cognitive science—can be fruitfully reconciled under the framework of the free energy principle. FEP holds that cognitive systems encode generative models of their niches and cognition can be understood in terms of minimizing the free energy of these models. There are two philosophical interpretations of this picture. A computationalist will argue that as FEP claims that Bayesian inference underpins both perception and action, it entails a (...) concept of cognition as a computational process. An enactivist, on the other hand, will point out that FEP explains cognitive systems as constantly self-organizing to non-equilibrium steady-state. My claim is that these two interpretations are both true at the same time and that they enlighten each other. (shrink)

The tradition of pragmatism has, especially since Dewey, been characterized by a commitment to nonreductive naturalism. The notion of emergence, popular in the early decades of the twentieth century and currently re-emerging as a central concept in metaphysics and the philosophy of mind, may be useful in explicating that commitment. The present paper discusses the issue of the reality of emergent properties, drawing particular attention to a pragmatic way of approaching this issue. The reality of emergents can be defended as (...) a pragmatically-useful ontological commitment; hence, pragmatism can be employed as a tool in the debate over the structure and reality of emergence. This strategy of justifying ontological commitments is examined through historical and systematic discussions of the pragmatist tradition. It turns out, among other things, that while classical pragmatists did not specify any technical notion of emergence in the contemporary sense, their non-reductively naturalist views are relevant to the more recent emergence discussions -- especially because they rejected the metaphysical realism typical of today’s ontologically-oriented emergence theories. (shrink)

During the last decades the question of defining life has gained increased interest but, at the same time, the difficulty in reaching consensus on a possible answer has led many to skeptical positions. This, in turn, has raised a wider debate about why defining life is so hard and controversial. Such a debate introduces additional aspects to be considered, like the role and nature of a definition of life itself. In this paper, we will focus on those aspects, arguing that (...) progress can be made if we conceive definitions of life as open heuristic tools that contribute to develop specific research strategies in the biological sciences and, more generally, to increase our understanding of life’s complexity. In contrast with pragmatic or operationalist approaches, we will defend that definitions of life comprise a set of ontological assumptions, together with an inherent unifying vocation, so they should be subject to comparison and critical assessment, closely related to the success or failure of the corresponding research programs, but also to the success or failure in establishing well-grounded interconnections among the latter. We consider that the search for a more coherent, integrated and generalized theory of biology cannot be pursued without keeping an empirical standpoint, and the exercise of defining life should not be taken as an obstacle but as a valuable instrument to achieve that goal. (shrink)

1Center for the Philosophy of Nature and Science Studies, Blegdamsvej 17, DK-2100 Copenhagen, Denmark. Published pp. 117-124 in: Mark Bedeau, Phil Husbands, Tim Hutton, Sanjev Kumar and Hideaki Suzuki : Workshop and Tutorial Proceedings. Ninth International Conference on the Simulation and Synthesis of Living Systems.