A Framework for Representing Action Meaning in Artificial Systems via Force Dimensions
2012 (English)In: Artificial General Intelligence: 5th International Conference, AGI 2012, Oxford, UK, December 8-11, 2012. Proceedings / [ed] Joscha Bach; Ben Goertzel; Matthew Iklé, Heidelberg, Dordrecht, London, New York: Springer Berlin/Heidelberg, 2012, p. 99-106Conference paper, Published paper (Refereed)
Abstract [en]
General (human) intelligence critically includes understanding human action, both action production and action recognition. Human actions also convey social signals that allow us to predict the actions of others (intent) as well as the physical and social consequences of our actions. What's more, we are able to talk about what we (and others) are doing. We present a framework for action recognition and communication that is based on access to the force dimensions that constrain human actions. The central idea here is that forces and force patterns constitute vectors in conceptual spaces that can represent actions and events. We conclude by pointing to the consequences of this view for how artificial systms could be made to understand and communicate bout actions.
Place, publisher, year, edition, pages
Heidelberg, Dordrecht, London, New York: Springer Berlin/Heidelberg, 2012. p. 99-106
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, E-ISSN 1611-3349 ; 7716 LNAI
Keywords [en]
Intentions, actions, conceptual spaces, force, action representation, concepts, categorization, events
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6925DOI: 10.1007/978-3-642-35506-6_11Scopus ID: 2-s2.0-84871383178ISBN: 978-3-642-35505-9 (print)ISBN: 978-3-642-35506-6 (electronic)OAI: oai:DiVA.org:his-6925DiVA, id: diva2:578365
Conference
5th International Conference, AGI 2012, Oxford, UK, December 8-11, 2012
2012-12-182012-12-182022-09-28Bibliographically approved