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dc.date.accessioned 2012-10-22T11:28:43Z
dc.date.available 2012-10-22T11:28:43Z
dc.date.issued 2003-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22699
dc.description.abstract The main objective of this work is to establish a basis for comparing BDI agents with the optimality of decision theory models such as POMDPs. It is argued that a direct comparison is not possible due to the intractability of the algorithms used for solving POMDPs, and therefore an approximation must be used. We propose the reduction of the state space, and the combination of sub-solutions as the main approaches towards this goal. Throughout this work, the tileworld testbed is used as a frame of reference for the discussion of the various concepts. es
dc.format.extent 705-716 es
dc.language en es
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject BDI Architecture es
dc.subject Decision Theoretic Models es
dc.subject Intelligent agents es
dc.subject Architectures es
dc.subject POMDP es
dc.title On the problem of comparing two models for rational decision making in autonomous agents en
dc.type Objeto de conferencia es
sedici.creator.person Parsons, Simon D. es
sedici.creator.person Simari, Gerardo I. es
sedici.description.note Eje: Agentes y Sistemas Inteligentes (ASI) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en 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 2003-10
sedici.relation.event IX Congreso Argentino de Ciencias de la Computación 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)