A framework of fuzzy constraint-directed agent negotiation with learning element

Ting-Jung Yu, K. R. Lai
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引用次数: 1

Abstract

This paper presents a framework of fuzzy constraint- directed agent negotiation with learning element to improve the quality of negotiation. The learning element involves: 1) fuzzy probability constraint for regularizing the opponent's behavior to decrease the noisy beliefs about the opponent, 2) instance matching method for reusing the prior opponent knowledge to infer the similar feasible actions from similar situations, and 3) the proposed adaptive interaction for specifying the appropriate tradeoff among feasible proposals to reach an agent's local or global goal.
一种带有学习元素的模糊约束导向智能体协商框架
为了提高协商质量,提出了一种带有学习元素的模糊约束导向智能体协商框架。学习元素包括:1)模糊概率约束,用于规范对手的行为,以减少对对手的噪声信念;2)实例匹配方法,用于重用先前的对手知识,从类似的情况下推断出类似的可行行动;3)提出自适应交互,用于指定可行方案之间的适当权衡,以达到智能体的局部或全局目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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