Does Empowerment Maximisation Allow for Enactive Artificial Agents?

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Guckelsberger, Christian and Salge, Christoph. 2016. 'Does Empowerment Maximisation Allow for Enactive Artificial Agents?'. In: Proc. 15th Int. Conf. Synthesis and Simulation of Living Systems (ALIFE). Cancun, Mexico. [Conference or Workshop Item]

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Abstract or Description

The enactive AI framework wants to overcome the sense making limitations of embodied AI by drawing on the biosystemic foundations of enactive cognitive science. While embodied AI tries to ground meaning in sensorimotor interaction, enactive AI adds further requirements by grounding sensorimotor interaction in autonomous agency. At the core of this shift is the requirement for a truly intrinsic value function. We suggest that empowerment, an information-theoretic quantity based on an agent’s embodiment, represents such a function. We highlight the role of empowerment maximization in satisfying the requirements of enactive AI, i.e. establishing constitutive autonomy and adaptivity, in detail. We then argue that empowerment, grounded in a precarious existence, allows an agent to enact a world based on the relevance of environmental features in respect to its own identity.

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Conference or Workshop Item (Talk)