Is there room for normativity in a dynamical world?

Tomorrow at 2pm I will be giving an online talk for the ENactive Seminars Online (ENSO) Series. Here are the title and abstract:

Is there room for normativity in a dynamical world?

Enactivism rejects the standard working hypothesis of cognitive science, according to which all cognition involves the unconscious manipulation of mental representations, and replaces it with a dynamical systems account. And yet enactivism resists other, purely dynamical approaches that see no role for any kind of subjectivity, because it appeals to the role of our lived phenomenology and claims that living beings behave with respect to norms directed at maintaining their viability.

So far, this middle way seems to be philosophically unsatisfactory: at best it allows us to claim that acting in accordance with experience or norms just is a certain kind of dynamic pattern. But this turns subjectivity into a mysterious difference that makes no difference as such with respect to the unfolding of those patterns, which is completely determined by the dynamics alone.

This calls for deeper philosophical reflection about how it is possible for subjectivity to play a role in an objective world while avoiding a regression to the untenable positions of either representationalism or eliminativism.

Watch the seminar live: http://www.ensoseminars.com/presentations/past17/

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New paper: The past, present, and future of artificial life

Frontiers in Robotics and AI As part of the inauguration of the new section on “Computational Intelligence” of Frontiers in Robotics and AI we wrote this introduction to the field of artificial life.

The past, present, and future of artificial life

Wendy Aguilar, Guillermo Santamaría-Bonfil, Tom Froese and Carlos Gershenson

For millennia people have wondered what makes the living different from the non-living. Beginning in the mid-1980s, artificial life has studied living systems using a synthetic approach: build life in order to understand it better, be it by means of software, hardware, or wetware. This review provides a summary of the advances that led to the development of artificial life, its current research topics, and open problems and opportunities. We classify artificial life research into 14 themes: origins of life, autonomy, self-organization, adaptation (including evolution, development, and learning), ecology, artificial societies, behavior, computational biology, artificial chemistries, information, living technology, art, and philosophy. Being interdisciplinary, artificial life seems to be losing its boundaries and merging with other fields.

DOI: 10.3389/frobt.2014.00008