{"title":"惊吓:《吃豆人女士》中灵活的基于规则的智能幽灵团队","authors":"D. Gagne, C. Congdon","doi":"10.1109/CIG.2012.6374166","DOIUrl":null,"url":null,"abstract":"FRIGHT is a rule-based intelligent agent for playing the ghost team in the Ms. Pac-Man vs Ghosts Competition held at the 2012 IEEE Conference on Computational Intelligence and Games. FRIGHT uses rule sets with high-level abstractions of the game state and actions, and employs evolutionary computation to learn rule sets; a distributed homogenous-agent approach is used. We compare the performance of a hand-coded rule set to one learned by the system and find that the rule set learned by the system outperforms the hand-coded rules.","PeriodicalId":288052,"journal":{"name":"2012 IEEE Conference on Computational Intelligence and Games (CIG)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"FRIGHT: A flexible rule-based intelligent ghost team for Ms. Pac-Man\",\"authors\":\"D. Gagne, C. Congdon\",\"doi\":\"10.1109/CIG.2012.6374166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"FRIGHT is a rule-based intelligent agent for playing the ghost team in the Ms. Pac-Man vs Ghosts Competition held at the 2012 IEEE Conference on Computational Intelligence and Games. FRIGHT uses rule sets with high-level abstractions of the game state and actions, and employs evolutionary computation to learn rule sets; a distributed homogenous-agent approach is used. We compare the performance of a hand-coded rule set to one learned by the system and find that the rule set learned by the system outperforms the hand-coded rules.\",\"PeriodicalId\":288052,\"journal\":{\"name\":\"2012 IEEE Conference on Computational Intelligence and Games (CIG)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Conference on Computational Intelligence and Games (CIG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIG.2012.6374166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Conference on Computational Intelligence and Games (CIG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIG.2012.6374166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
在2012年IEEE计算智能与游戏大会上举办的Ms. Pac-Man vs Ghosts竞赛中,FRIGHT是一个基于规则的智能代理,用于扮演幽灵团队。该算法使用具有游戏状态和动作高级抽象的规则集,并采用进化计算来学习规则集;采用分布式同质代理方法。我们将手工编码的规则集与系统学习的规则集的性能进行比较,发现系统学习的规则集优于手工编码的规则集。
FRIGHT: A flexible rule-based intelligent ghost team for Ms. Pac-Man
FRIGHT is a rule-based intelligent agent for playing the ghost team in the Ms. Pac-Man vs Ghosts Competition held at the 2012 IEEE Conference on Computational Intelligence and Games. FRIGHT uses rule sets with high-level abstractions of the game state and actions, and employs evolutionary computation to learn rule sets; a distributed homogenous-agent approach is used. We compare the performance of a hand-coded rule set to one learned by the system and find that the rule set learned by the system outperforms the hand-coded rules.