Autonomous-Centered Problem Allocation Oriented to Cooperation
By reasonably allocating a cooperative problem which need multiple solvers cope with together, the problem could be performed more effectively and efficiently. A problem could be divided into multiple sub-problems; each has certain ability requirement which is the hinge to relate problem and solver. According to ability requirement, the solver candidate set for each sub-problem could be established. To select suitable solver from candidate set so as to solve a cooperative problem in more autonomous and consistent way, a mathematical allocation model taking the minimization of interaction number as objective function is established. The model solving process is deployed by decreasing two kinds of interactions, i.e. intra-interaction and extra-interaction. Experiment shows this method obtains better performance than general allocation.
KeywordsProblem Model Cooperative System Allocation Process Selection Principle Suitable Solver
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- 1.Rogers, E.: Cognitive cooperation through visual interaction. Int. J. Knowledge-Based Systems, 117–125 (1995)Google Scholar
- 5.Sova, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks/Cole (2000)Google Scholar
- 6.Minyi, Y.: Introduction to Combinatorial Optimization. Zhejiang Science & Technology Publishing House (2001)Google Scholar