多智能体系统中劳动分工的出现

David W. King, Gilbert L. Peterson
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引用次数: 3

摘要

自然系统的劳动分工使其在动态变化时期具有弹性。研究人员已经证明,根据系统的环境和代理任务偏差的分布,劳动分工可以在同质群体中出现。本文证明了同质群体中劳动分工的出现也受到代理决策函数、代理群体规模和环境约束的影响。结果表明,个体决策函数和群体规模对劳动分工得分有显著影响,而环境约束对劳动分工得分的影响取决于所选择的个体决策函数。第二,结果表明,高劳动分工得分并不一定转化为更高的资源生产,这似乎与代理决策函数有关。第三,尽管智能体总体规模与劳动分工得分呈正相关,但智能体决策函数在其出现中起着更为关键的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Emergence of Division of Labor in Multi-Agent Systems
Division of labor in natural systems enables resiliency in times of dynamic change. Researchers have shown that division of labor can emerge in homogeneous populations predicated on the system's environment and the distribution of agent task bias. This article demonstrates that the emergence of division of labor in homogenous populations is also impacted by agent decision functions, agent population size, and environmental constraints. Results show, one, agent decision functions and population size have a significant impact on the division of labor scores, whereas, the influence of environmental constraints depends upon the chosen agent decision function. Two, results indicate that high division of labor scores do not necessarily translate to higher resource production, which, again, appears tied to agent decision functions. Three, although agent population size possesses a positive correlation to division of labor scores, agent decision functions play a more critical role in its emergence.
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