利用卡拉法研究博弈协同进化中的棋子微分信息

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI:10.1109/CEC.2003.1299868

Wee-Chong Oon, Yew Jin Lim

{"title":"利用卡拉法研究博弈协同进化中的棋子微分信息","authors":"Wee-Chong Oon, Yew Jin Lim","doi":"10.1109/CEC.2003.1299868","DOIUrl":null,"url":null,"abstract":"This paper describes a series of experiments using co-evolution of artificial neural networks on a game called Kalah. The technique employed closely follows the one used by Chellapilla and Fogel to evolve the successful checkers program Anaconda. The experiments aim to provide insight on the effect of including piece differential information, a basic yet crucial piece of expert knowledge, into the neural network inputs.","PeriodicalId":416243,"journal":{"name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An investigation on piece differential information in co-evolution on games using Kalah\",\"authors\":\"Wee-Chong Oon, Yew Jin Lim\",\"doi\":\"10.1109/CEC.2003.1299868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a series of experiments using co-evolution of artificial neural networks on a game called Kalah. The technique employed closely follows the one used by Chellapilla and Fogel to evolve the successful checkers program Anaconda. The experiments aim to provide insight on the effect of including piece differential information, a basic yet crucial piece of expert knowledge, into the neural network inputs.\",\"PeriodicalId\":416243,\"journal\":{\"name\":\"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2003.1299868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2003.1299868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

摘要

本文描述了在一款名为Kalah的游戏中使用人工神经网络的协同进化进行的一系列实验。所采用的技术与Chellapilla和Fogel开发成功的跳棋程序Anaconda的技术非常相似。这些实验旨在深入了解将片段差分信息(一种基本但至关重要的专家知识)纳入神经网络输入的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An investigation on piece differential information in co-evolution on games using Kalah

This paper describes a series of experiments using co-evolution of artificial neural networks on a game called Kalah. The technique employed closely follows the one used by Chellapilla and Fogel to evolve the successful checkers program Anaconda. The experiments aim to provide insight on the effect of including piece differential information, a basic yet crucial piece of expert knowledge, into the neural network inputs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

The 2003 Congress on Evolutionary Computation, 2003. CEC '03.

自引率

0.00%

发文量