Cooperative distributed problem solving
In computing cooperative distributed problem solving is a 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 or global data storage – no individual CDPS problem solver 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
- * 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
Some relevant books
- A chapter in an edited book.
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- See Chapters 1 and 2; .
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