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Hans Journal of Data Mining 数据
*第一作者。
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文章引用: 万宇杰, 伏明兰, 陈得宝, 陈吕强. 基于市场权值的二阶段多 agent 任务分配算法[J]. 数据挖掘, 2022, 12(2):
161-172. DOI: .122017万宇杰等

agent, a two-stage task allocation model including optimal competition and market cooperation is
constructed. On the basis of optimal competition, the market cooperation stage further coordinates
and optimizes the optimal task allocation. Considering that the relationship between candidates
may ultimately affect the overall income of the market, the concept of “market weight” is proposed
to describe a more accurate cooperative relationship. The two-stage allocation model based on
market weight can not only enable task candidates to give full play to their own advantages, par-
ticipate in competition and protect the interests of task candidates, but also optimize the overall
income of the market. Finally, the simulation results verify the effectiveness of the proposed algo-
rithm.

Keywords
Multi-Agent System, Self-Interested Agent, Market, Task Allocation

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This work is licensed under the Creative Commons Attribution International License (CC BY ).
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Open Access

1. 引言
当对多 agent 系统的中的个体进行任务分配时，需要考虑到 Agent 个体的思维状态是否受到感情、智
慧、社会关系等方面因素的影响，Agent 的思考能力不一定表现在某个人的智能行为中，更可能因为社会
活动的影响而以各种形式展示出来。当前，多