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Hybrid Intelligent Multi-agent System Model for Solving Complex Transport-Logistic Problem

机译:混合智能多功能系统模型解决复杂的运输逻辑问题

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On the example of a complex transport-logistic problem, computer modeling of problem solving by expert team using one of the divergent thinking techniques namely the brain record pool is considered. Computer modeling of problem solving in a team allows applying a set of dynamically synthesized and modifiable integrated models for a variety of problem solving situations rather than a single tool. The results of a comparison of the probability and magnitude of the synergy effect in hybrid multi-agent intelligent systems with different architectures made it possible to develop rules for a fuzzy knowledge base for selecting an architecture corresponding to different problems.
机译:在复杂的运输逻辑问题的例子上,考虑了专家团队解决问题的计算机建模即,脑记录池是考虑的。在团队中解决问题的计算机建模允许为各种问题解决一系列动态合成和可修改的集成模型而不是单个工具。在具有不同架构的混合多助理智能系统中的协同效应的概率和大小的比较使得可以为选择与不同问题相对应的架构制定模糊知识库的规则。

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