{"title":"计算机国际象棋的长期规划","authors":"J. Schaeffer","doi":"10.1145/800173.809724","DOIUrl":null,"url":null,"abstract":"A serious deficiency in game-playing, tree-searching programs is their short-sightedness. Program strategy revolves around the maximization/minimization of what is attainable within the scope of the search tree with little consideration of what lies beyond. This paper describes Planner, a long-range chess strategist that assesses positions, determines a long-range strategy, and makes moves in the short-term (within the scope of the search tree) consistent with a long-term objective (beyond the depth of the search tree). In effect then, Planner allows the program to “see” beyond the limitations of the search tree.","PeriodicalId":306306,"journal":{"name":"ACM '83","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Long-range planning in computer chess\",\"authors\":\"J. Schaeffer\",\"doi\":\"10.1145/800173.809724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A serious deficiency in game-playing, tree-searching programs is their short-sightedness. Program strategy revolves around the maximization/minimization of what is attainable within the scope of the search tree with little consideration of what lies beyond. This paper describes Planner, a long-range chess strategist that assesses positions, determines a long-range strategy, and makes moves in the short-term (within the scope of the search tree) consistent with a long-term objective (beyond the depth of the search tree). In effect then, Planner allows the program to “see” beyond the limitations of the search tree.\",\"PeriodicalId\":306306,\"journal\":{\"name\":\"ACM '83\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM '83\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800173.809724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM '83","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800173.809724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A serious deficiency in game-playing, tree-searching programs is their short-sightedness. Program strategy revolves around the maximization/minimization of what is attainable within the scope of the search tree with little consideration of what lies beyond. This paper describes Planner, a long-range chess strategist that assesses positions, determines a long-range strategy, and makes moves in the short-term (within the scope of the search tree) consistent with a long-term objective (beyond the depth of the search tree). In effect then, Planner allows the program to “see” beyond the limitations of the search tree.