Learning in a Multi-Agent System
نویسندگان
چکیده
This paper describes work undertaken to incorporate agents that can learn into an existing multi-agent system, designed to advise on good programming practice. The power of this approach is that the learning agents within the system can adapt domain knowledge to evolve programming standards over time. A prototype system has been developed which uses multiple agents to embody complementary learning algorithms to achieve a level of adaptability suitable for the domain. Test results are presented with an analysis and discussion.
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تاریخ انتشار 2003