Software Agent Evolution in Adaptive Agent Oriented Software Architecture
نویسندگان
چکیده
Adaptive Agent Oriented Software Architecture (AAOSA) is a new dynamic approach to software design based on multi-agent oriented architecture. Since the optimal agent organization is different from one environment to another, we proposed a distributed learning policy that is used in AAOSA for the purpose of agent organizational evolution. Knowing when and how to communicate and coordinate with other agents is an important efficiency and reliability question. In this paper, we propose the use of on-line feedback from users to motivate the learning whenever necessary, and show that distributing the evolution process over individual agent in AAOSA is efficient and reasonable.
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