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粗交流中,确定概念在多个agents间传递时,由于各个agent有不同的语言,相互之间不能提供准确的信息交流,从而导致概念在传递过程中会丢失部分信息,最后得到粗糙的结果.在不同的粗交流传递序列中,信息的丢失量往往是不同的.利用模拟退火算法,得到使参与粗交流的各个agent获得信息量最大的粗交流传递序列.算法的分析和仿真验证了该方法的有效性.
In crude exchange, when the concept is determined to be transmitted among multiple agents, each agent has different languages and can not provide accurate information exchange with each other. As a result, the concept will lose some information in the process of transmission, and finally get rough results. In different rough alternating current transmission sequence, the loss of information is often different.Using the simulated annealing algorithm, the rough alternating current transfer sequence with the largest amount of information is obtained by the agents involved in the crude exchange.The analysis and simulation of the algorithm verify the method Effectiveness.