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The accomplishment of a complex problem usually involves cooperation between participators with different knowledge background concerned. This paper identifies inter-dependency between different sub problems (through problem decomposition) as the major factor that influences cooperative relations in multi-Agent systems, based on which we propose an efficient means to measure cooperation coefficient (degree) between different Agents. Then cognitive cooperation between Agents is analyzed which aims at collecting the wisdom of the cognitive community for a systematic solution to the overall problem.
This accomplishment of a complex problem involves ー cooperation between participators with different knowledge background concerned. This paper identifies inter-dependency between different sub problems (through problem decomposition) as the major factor that influences cooperative relations in multi-Agent systems, based on which we proposes an efficient means to measure cooperation coefficient (degree) between different Agents. Then cognitive cooperation between Agents is analyzed which aims at collecting the wisdom of the cognitive community for a systematic solution to the overall problem.