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dc.contributor.authorMurdock, J. Williamen_US
dc.date.accessioned2005-06-17T17:50:24Z
dc.date.available2005-06-17T17:50:24Z
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1853/6638
dc.description.abstractIntelligent agents typically operate in complex, dynamic environments. Such environments require that an agent be able to adapt to meet new demands. One promising strategy for such adaptation is to have an agent reason about itself using an explicit model of the tasks it performs, the methods it uses to perform those tasks, and the knowledge which those tasks and methods manipulate. I propose to investigate the application of this reflective self-modification process to agents situated in interactive domains. This investigation will consist of three major components: (i) implementing an agent architecture which provides autonomous support for model-based evolution, (ii) instantiating a variety of specific agents into this architecture, and (iii) systematically varying both the descriptions of the agents and the design of the architecture itself. I expect this research to provide insight into the nature of agent evolution and the potential role of model-based reflection.en_US
dc.format.extent437458 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCC Technical Report; GIT-CC-98-27en_US
dc.subjectSoftware agents
dc.subjectAdaptation
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.subjectReflective agent evolution
dc.titleA Theory of Reflective Agent Evolutionen_US
dc.typeTechnical Reporteng_US


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