Multiple source distributed information fusion based on multiagent system
Zuxun Xia · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
In the multi-node distributed decision system under some conditions there are a few or none permitted information exchange between the nodes, this makes the information fusion and final decision difficult. If one node looks as an agent, it has some other node's historical experiences or knowledge for resolving problems and stored in additional case bases, it can uses case based reasoning (CBR) and transposition reasoning to obtain the possible viewpoints or decisions of those nodes and then makes information fusion by itself, so may reduce the subjectivism which is weakness of pure transposition reasoning.