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Simulation Analysis of Evolutionary Game Based on Multi-agent Model Knowledge Transfer Behavior

机译:基于多Agent模型知识转移行为的演化博弈仿真分析

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Based on evolutionary game theory and knowledge transfer theory, using the complex adaptive system (Multi-Agent)?s overall modeling stimulation approach, adopting Swarm simulation software platform to create the multi-agent stimulating Knowledge Transfer Behavior Model-evolutionary Game Model (KTGM), then depicting the model?s main attributes, behavioral rules and algorithm, under the various parameters conducting models to analysis the symmetrical cooperative game?s evolutionary game simulation of the main knowledge transfer behavior, obtain the strategy adopted from the main behavior bodies? knowledge transfer activities, meanwhile the establishment and operation of model also provide an effective way to study the knowledge transfer driving behavior at all levels.
机译:基于演化博弈论和知识转移论,采用复杂自适应系统(Multi-Agent)的整体建模刺激方法,采用Swarm仿真软件平台创建多主体刺激知识转移行为模型-进化博弈模型(KTGM) ,然后描述模型的主要属性,行为规则和算法,在各种参数下进行模型分析,分析对称合作博弈对主要知识转移行为的演化博弈模拟,获得主要行为主体采用的策略。知识转移活动,同时模型的建立和运行也为研究各级知识转移驱动行为提供了有效的途径。

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