Distributed Episodic Exploratory Planning (Deep)

摘要

This report describes an overview and the progress to date of the Distributed Episodic Exploratory Planning (DEEP) project. DEEP is a mixed- initiative decision support system that utilizes past experiences to suggest courses of action for new situations. It has been designed as a distributed multi-agent system, using agents to maintain and exploit the experiences of individual commanders as well as to transform suggested past plans into potential solutions for new problems. The system is mixed-initiative in the sense that a commander, through his or her agent, can view and modify the contents of the shared repository as needed. The agents interact through a common knowledge repository, represented by a blackboard in the initial architecture. The blackboard architecture is well suited for dealing with ill- defined, complex situations such as warfare.