Strategy of Agent Coalition Based on Historic Behavior

JIANG Jian-guo; YIN Xiang; XIA Na; SU Zhao-pin

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Strategy of Agent Coalition Based on Historic Behavior

更新时间：2025-07-16

- Strategy of Agent Coalition Based on Historic Behavior
- Acta Electronica Sinica Vol. 35, Issue 8, Pages: 1485-1489(2007)
- 作者机构：
  
  合肥工业大学计算机与信息学院,安徽,合肥,230009
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP301
- Published：2007
- 稿件说明：
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JIANG Jian-guo, YIN Xiang, XIA Na, et al. Strategy of Agent Coalition Based on Historic Behavior[J]. Acta Electronica Sinica, 2007, 35(8): 1485-1489.
DOI：

JIANG Jian-guo, YIN Xiang, XIA Na, et al. Strategy of Agent Coalition Based on Historic Behavior[J]. Acta Electronica Sinica, 2007, 35(8): 1485-1489. DOI：

摘要

协商是多agent系统中联盟形成的重要手段

很少有对协商初始提议的讨论.提出了一种基于个体历史行为确定协商起点的方法

根据agent在历史任务中的各维能力贡献率

计算其在当前任务中的期望获利因子

并据此给出协商时的初始提议

在此基础上设计了一种联盟形成策略

试验表明了该方法的有效性.

Abstract

Negotiation is an important method to coalition formation in MAS.Most of existing work seldom studies how to generate initial proposals.A strategy based on historic behavior to decide initial proposals is proposed.By evaluating each agent's contribution ratio in historic tasks

the expected profit factor to the current job can be attained and based on it the initial proposal is obtained.Moreover

a coalition formation strategy is presented.Experimental results demonstrate that this method is efficient.

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