An Implementation Framework for Emotion Based Adaptive Agents

• Author(s): Neves, Pedro
• Date: 2008
• Persistent ID: http://hdl.handle.net/10451/14023
• Origin: Repositório da Universidade de Lisboa
• Subject(s): artificial intelligence; intelligent agents; cognitive model; emotion model; experimentation platform
• Document Type: Master thesis
• Language: Portuguese
• Advisor(s): Gaspar, Graça
• Contributor(s): Repositório da Universidade de Lisboa

Description

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