Abstract
The enactive AI framework wants to overcome the sense-making limitations of embodied AI by drawing on the bio-systemic 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 maximisation 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.
Original language | English |
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Title of host publication | Proceedings of the Artificial Life Conference 2016, ALIFE 2016 |
Publisher | MIT Press |
Number of pages | 8 |
ISBN (Electronic) | 9780262339360 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A4 Conference publication |
Event | Conference on Artificial Life - Cancun, Mexico Duration: 4 Jul 2016 → 8 Jul 2016 Conference number: 15 |
Conference
Conference | Conference on Artificial Life |
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Abbreviated title | ALIFE |
Country/Territory | Mexico |
City | Cancun |
Period | 04/07/2016 → 08/07/2016 |