Reusing Coordination and Negotiation Strategies in Multi-Agent Systems for Ubiquitous Network Environment

摘要: Recently, we proposed an intelligent ubiquitous computing (ubicomp) environment where sensors and/or their stations/servers have CPUs to cooperatively learn generalized series of sensed events that are involved in human activities. This can be regarded as a multi-agent application. Because ubicomp applications target support for daily-life activities, one characteristics is the same/similar occurs frequently. Multi-agent plans this type used foresee activities and generate programs assist them. Therefore, same planning processes conflict detection resolution recur. paper proposes learning method which past exploited problem solving problems appear repeatedly. We discuss how plan stored reused using example exploration conflict-free routes room then describe experimental results.