Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/14023
Título: An Implementation Framework for Emotion Based Adaptive Agents
Autor: Neves, Pedro
Orientador: Gaspar, Graça
Palavras-chave: artificial intelligence
intelligent agents
cognitive model
emotion model
experimentation platform
Data de Defesa: Nov-2008
Editora: Department of Informatics, University of Lisbon
Relatório da Série N.º: di-fcul-tr-08-24
Resumo: The work presented in this document is part of the project AutoFocus: Adaptive Self-Improving Multi-Agent Systems' that is being developed at the research unit LabMAg, which objective is the implementation of multi-agent systems based on autonomous entities capable of self-optimized and adaptive behaviors. The notion of autonomic computation, like other notions that also imply pro-active computation, is based on autonomous entities that actively work to achieve their objectives and have the ability to dynamically adjust to changes in their environment, constrained by time and resource limits. In the approach used by the AutoFocus project, that adaptation to change and the regulation of the agent's capabilities, result from the combination of cognitive aspects with emotional based aspects. The agent model defined and used by the AutoFocus project is the Agent Flow Model. The task that corresponded to the work presented in this document was to develop a platform for the Agent Flow Model. It was intended, with this platform, to provide a tool that enables the rapid deployment and monitoring of agents based on this model. The developed work consisted in the analysis and design, oriented to objects, implementation and testing of components of this platform
URI: http://hdl.handle.net/10451/14023
Aparece nas colecções:FC-DI - Master Thesis (dissertation)

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