Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism

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dc.creatorGershenson, Carlos
dc.creatorGonzalez, Pedro Pablo
dc.date2002-11-27
dc.date.accessioned2026-07-07T03:19:11Z
dc.date.available2026-07-07T03:19:11Z
dc.descriptionThis paper presents a model for dynamic adjustment of the motivation degree, using a reinforcement learning approach, in an action selection mechanism previously developed by the authors. The learning takes place in the modification of a parameter of the model of combination of internal and external stimuli. Experiments that show the claimed properties are presented, using a VR simulation developed for such purposes. The importance of adaptation by learning in action selection is also discussed.
dc.description7 pages, Proceedings of ISA '2000. Wollongong, Australia
dc.identifierhttps://arxiv.org/abs/cs/0211038
dc.identifierhttp://arxiv.org/abs/cs/0211038
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31360
dc.subjectArtificial Intelligence
dc.subjectI.2.6
dc.titleDynamic Adjustment of the Motivation Degree in an Action Selection Mechanism
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