A Case-Based Planning approach for mobile agents migration guidance

We proposed a Case-Based Planning (CBP) approach to enhance mobile agents guidance. CBP is a planning approach by reusing old plan results to solve new planning problems. There are two advantages of embed mobile agents with CBP: learning and efficiency. The agent with CBP can store successfully performed remote service requests for reuse and failed situations for avoidance. Efficiency of the agent with CBP comes from that the ability of reusing parts of old migration plans could avoid the repetition of the same efforts. It is obvious that if each agent in an agent-based environment can remember the past cooperation experience, the efficiency of agents´ cooperation could be improved because more communication load and network latency can be avoided. In our approach, a plan consists of a series of actions to achieve related goals. The actions include internal services calls and external services invocations. A hierarchical case-based reasoning (HCBR) mechanism is used as core to implement our approach.