A Formal Framework for the Symbol Grounding Problem

Johnston, BG; Williams, M

A Formal Framework for the Symbol Grounding Problem

Johnston, BG Williams, M

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Publisher:: Atlantis Press
Publication Type:: Conference Proceeding
Citation:: Proceedings of the Second Conference on Artificial General Intelligence, 2009, pp. 61 - 66
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Johnston, BG	en_US
dc.contributor.author	Williams, M https://orcid.org/0000-0002-1047-0503	en_US
dc.contributor.editor	NA	en_US
dc.date	2009-03-06	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Proceedings of the Second Conference on Artificial General Intelligence, 2009, pp. 61 - 66	en_US
dc.identifier.isbn	9789078677246	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11424
dc.description.abstract	A great deal of contention can be found within the published literature on grounding and the symbol grounding problem, much of it motivated by appeals to intuition and unfalsifiable claims. We seek to define a formal framework of representa- tion grounding that is independent of any particular opinion, but that promotes classification and comparison. To this end, we identify a set of fundamental concepts and then formalize a hierarchy of six representational system classes that corre- spond to different perspectives on the representational require- ments for intelligence, describing a spectrum of systems built on representations that range from symbolic through iconic to distributed and unconstrained. This framework offers utility not only in enriching our understanding of symbol grounding and the literature, but also in exposing crucial assumptions to be explored by the research community.	en_US
dc.publisher	Atlantis Press	en_US
dc.relation.ispartof	Proceedings of the Second Conference on Artificial General Intelligence	en_US
dc.relation.ispartof	Conference on Artificial General Intelligence	en_US
dc.relation.isbasedon	10.2991/agi.2009.12	en_US
dc.title	A Formal Framework for the Symbol Grounding Problem	en_US
dc.type	Conference Proceeding
utslib.location	Berlin, Germany	en_US
utslib.location.activity	Washington, USA	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	150307 Innovation and Technology Management	en_US
utslib.for	150302 Business Information Systems	en_US
dc.location.activity	Washington, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Berlin, Germany	en_US
pubs.start-date	2009-03-06	en_US

Abstract:

A great deal of contention can be found within the published literature on grounding and the symbol grounding problem, much of it motivated by appeals to intuition and unfalsifiable claims. We seek to define a formal framework of representa- tion grounding that is independent of any particular opinion, but that promotes classification and comparison. To this end, we identify a set of fundamental concepts and then formalize a hierarchy of six representational system classes that corre- spond to different perspectives on the representational require- ments for intelligence, describing a spectrum of systems built on representations that range from symbolic through iconic to distributed and unconstrained. This framework offers utility not only in enriching our understanding of symbol grounding and the literature, but also in exposing crucial assumptions to be explored by the research community.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11424