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dc.contributor.authorVincenti, Giovanni
dc.contributor.authorBraman, James
dc.contributor.authorTrajkovski, Goran
dc.date.accessioned2017-09-20T13:07:25Z
dc.date.available2017-09-20T13:07:25Z
dc.date.issued2007-01
dc.description.abstractThrough the use of a multi-agent system composed of emotionally enhanced sets of agents, we investigate how emotion plays a role in inter-agent communication, cooperation, goal achievement and perception. The behaviors of each agent are derived from its perception of the envi- ronment, its goals, knowledge gained from other agents and based on its own current emotional state, which is predicated on fuzzy sets. The state of each interacting agent is determined by its level of frustration combined with its interaction with other agents. The set of actions an agent may perform including that of its own ability to sense and understand the environment is limited by its current level of emotional context. In this work we focus on the analysis of the interaction of agents and review the grouping effect that arises from the inter-agent communications combined with the intra-agent emotional status as they perform the task required by the environment. The environment is based on previous work performed on navigational map learning by context chaining and abstraction.en_US
dc.format.extent7 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/M2222R65X
dc.identifier.citationVincenti, G., Braman, J., & Trajkovski, G. (2007). Emotion-Based Framework for Multi-Agent Coordination and Individual Performance in a Goal-Directed Environment. In 2007 Fall AAAI Symposium. Arlington, VA, 1-7.en_US
dc.identifier.urihttp://hdl.handle.net/11603/5417
dc.language.isoen_USen_US
dc.publisherAAAI Conferenceen_US
dc.relation.isAvailableAtUniversity of Baltimore
dc.subjectinter-agent communicationen_US
dc.subjectemotion-based frameworken_US
dc.subjectfixed architectureen_US
dc.subjectemotion and behavioren_US
dc.titleEmotion-Based Framework for Multi-Agent Coordination and Individual Performance in a Goal-Directed Environmenten_US
dc.typeTexten_US


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