Show simple item record

dc.contributor.authorGuckelsberger, Christian
dc.contributor.authorSalge, Christoph
dc.contributor.editorGershenson, Carlos
dc.contributor.editorFroese, Tom
dc.contributor.editorSiqueiros, Jesus M.
dc.contributor.editorAguilar, Wendy
dc.contributor.editorIzqueirdo, Eduardo J.
dc.contributor.editorSayama, Hiroki
dc.date.accessioned2017-05-04T17:08:22Z
dc.date.available2017-05-04T17:08:22Z
dc.date.issued2016-07-01
dc.identifier.citationGuckelsberger , C & Salge , C 2016 , Does Empowerment Maximisation Allow for Enactive Artificial Agents? in C Gershenson , T Froese , J M Siqueiros , W Aguilar , E J Izqueirdo & H Sayama (eds) , Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (Alife 2016) . Complex Adaptive Systems , The MIT Press , Cambridge, Massachusetts , Artificial Life Conference 2016 , Cancun , Mexico , 4/07/16 .
dc.identifier.citationconference
dc.identifier.isbn9780262339360
dc.identifier.otherPURE: 10033873
dc.identifier.otherPURE UUID: 04ca56ef-c833-4b41-a69f-d5bb6309a330
dc.identifier.urihttp://hdl.handle.net/2299/18171
dc.descriptionChristian 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.
dc.description.abstractThe 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.en
dc.format.extent8
dc.language.isoeng
dc.publisherThe MIT Press
dc.relation.ispartofProceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (Alife 2016)
dc.relation.ispartofseriesComplex Adaptive Systems
dc.titleDoes Empowerment Maximisation Allow for Enactive Artificial Agents?en
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.identifier.urlhttps://mitpress.mit.edu/books/proceedings-artificial-life-conference-2016
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record