基于属性相关性估算的复杂自适应采购代理策略研究

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops Pub Date : 2006-12-18 DOI:10.1109/WI-IATW.2006.84

Christopher N. Eichelberger, M. Hadzikadic

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引用次数: 1

摘要

作者构建了一个复杂的自适应采购代理系统，并使用该软件来估计数据集中属性的相关性。该仿真支持创建任意复杂和多样的代理策略。研究并报告了改变两种不同agent策略比例的效果，并与基于信息增益变量的两种非cas策略进行了对比

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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Investigating Agent Strategies within a Complex Adaptive System of Purchasing Agents for Estimating Attribute Relevance

The authors constructed a complex adaptive system of purchasing agents, and have used this software to estimate the relevance of attributes in a data set. The simulation supports the creation of arbitrarily complex and diverse agent strategies. The effect of altering the proportion of two different agent strategies is investigated and reported, and contrasted with two non-CAS strategies based on information-gain variants

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来源期刊

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

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