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dc.date.accessioned 2014-11-06T14:04:37Z
dc.date.available 2014-11-06T14:04:37Z
dc.date.issued 2014
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/42401
dc.description.abstract A key issue in the design of Belief-Desires-Intentions (BDI) agents is that of fnding an appropriate strategy for Intention Reconsider- ation (IR). Traditional approaches to IR defi nes the policy in the agent's design stage, which makes impossible to modify it in execution time. This is clearly not a practical solution for agents operating in dynamic and changing environments. Besides, IR typically involves considering multi- ple criteria. That is why, in this work, we propose a novel approach to IR based on a dichotomous choice model. This approach allows changing commitments to intentions depending on how the environment evolves and involves multi-criteria aggregation for IR. en
dc.language en es
dc.subject intention reconsideration en
dc.subject BDI architecture en
dc.subject dichotomous choise en
dc.subject voting es
dc.title Intention Reconsideration like uncertain dichotomous choice model en
dc.type Objeto de conferencia es
sedici.creator.person Sosa Toranzo, Cecilia es
sedici.creator.person Errecalde, Marcelo Luis es
sedici.creator.person Ferretti, Edgardo es
sedici.description.note Eje: XV Workshop de Agentes y Sistemas Inteligentes es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras de Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2014-10
sedici.relation.event XX Congreso Argentino de Ciencias de la Computación (Buenos Aires, 2014) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)