TY - GEN
T1 - Does Empowerment Maximisation Allow for Enactive Artificial Agents?
AU - Guckelsberger, Christian
AU - Salge, Christoph
N1 - Christian Guckelsberger and Christoph Salge, 'Does Empowerment Maximisation Allow for Enactive Artificial Agents?' in Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (Alife 2016), Cancun, Mexico, 4-8 July 2016. Carlos Gershenson, Tom Froese, Jesus M. Siqueiros, Wendy Aguilar, Eduardo J. Izquierdo and Hiroki Sayama eds., ISBN 9780262339360. Published by MIT Press.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - 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.
AB - 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.
UR - https://mitpress.mit.edu/books/proceedings-artificial-life-conference-2016
M3 - Conference contribution
T3 - Complex Adaptive Systems
BT - Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (Alife 2016)
A2 - Gershenson, Carlos
A2 - Froese, Tom
A2 - Siqueiros, Jesus M.
A2 - Aguilar, Wendy
A2 - Izqueirdo, Eduardo J.
A2 - Sayama, Hiroki
PB - MIT Press
CY - Cambridge, Massachusetts
T2 - Artificial Life Conference 2016
Y2 - 4 July 2016 through 8 July 2016
ER -