Following the philosophy of embodiment of Merleau-Ponty, Jonas and others, enactivism is a pivot point from which various areas of science can be brought into a fruitful dialogue about the nature of subjectivity. In this chapter we present the enactive conception of agency, which, in contrast to current mainstream theories of agency, is deeply and strongly embodied. In line with this thinking we argue that anything that ought to be considered a genuine agent is a biologically embodied (even if distributed) (...) agent, and that this embodiment must be affectively lived. However, we also consider that such an affective agent is not necessarily also an agent imbued with an explicit sense of subjectivity. To support this contention we outline the interoceptive foundation of basic agency and argue that there is a qualitative difference in the phenomenology of agency when it is instantiated in organisms which, due to their complexity and size, require a nervous system to underpin their physiological and sensorimotor processes. We argue that this interoceptively grounded agency not only entails affectivity but also forms the necessary basis for subjectivity. (shrink)

Recent work by Renaud Barbaras on the definition of life has shown the fecundity of a phenomenological approach that sees absence as having a positive status. This phenomenon allows Barbaras to identify life with “desire,” the indefinite exploration of the exterior world. It also allows Barbaras to defeat competing definitions of life in the sciences, particularly biology. In this paper, I propose a mutual complementarity between the work of Barbaras and that in contemporary systems science, namely by Stuart Kauffman, suggesting (...) that scientific concepts of subcriticality may allow for more overlap between phenomenological and scientific definitions of life than Barbaras acknowledges. (shrink)

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)