|
Cooperative distributed problem solving is a network of semi-autonomous processing nodes working together to solve a problem, typically in a multi-agent system. That is concerned with the investigation of problem subdivision, sub-problem distribution, results synthesis, optimisation of problem solver coherence and co-ordination. It is closely related to distributed constraint programming and distributed constraint optimization; see the links below. ==Aspects of CDPS== * Neither global control nor global data storage – no individual CDPS problem solver (agent) has sufficient information to solve the entire problem. * Control and data are distributed * Communication is slower than computation, therefore: * * Loose coupling between problem solvers * * Efficient protocols (not too much communication overhead) * * problems should be modular, coarse grained * Any unique node is a potential bottleneck * * Organised behaviour is hard to guarantee since no one node has the complete picture 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Cooperative distributed problem solving」の詳細全文を読む スポンサード リンク
|