Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14710
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dc.contributor.authorHan, Qi-
dc.contributor.authorArentze, Theo-
dc.contributor.authorTIMMERMANS, Harry-
dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2013-03-19T08:01:43Z-
dc.date.available2013-03-19T08:01:43Z-
dc.date.issued2007-
dc.identifier.citationProceedings of International IEE conference on intelligent transportation systems-
dc.identifier.isbn9781424413959-
dc.identifier.urihttp://hdl.handle.net/1942/14710-
dc.description.abstractContributing to the recent interest in the dynamics of activity-travel patterns, this paper discusses a framework for the dynamic formation of location choice-sets. It is based on the concepts of aspiration, activation and expected utility. Based on principles of Bayesian learning, reenforcement learning and social comparison theories, the framework specifies functions for experience-based learning, extended and integrated with social learning.-
dc.language.isoen-
dc.titleAn agent-based system for simulating dynamic choice-sets-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate30 September - 3 October 2007-
local.bibliographicCitation.conferencenameIEEE Conference on Intelligent Transportation Systems-
local.bibliographicCitation.conferenceplaceSeattle, U.S.A.-
local.format.pages6-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.btitleProceedings of International IEE conference on intelligent transportation systems-
item.contributorHan, Qi-
item.contributorArentze, Theo-
item.contributorTIMMERMANS, Harry-
item.contributorJANSSENS, Davy-
item.contributorWETS, Geert-
item.fullcitationHan, Qi; Arentze, Theo; TIMMERMANS, Harry; JANSSENS, Davy & WETS, Geert (2007) An agent-based system for simulating dynamic choice-sets. In: Proceedings of International IEE conference on intelligent transportation systems.-
item.fulltextWith Fulltext-
item.accessRightsClosed Access-
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