{"title":"实时推理与PROLOG","authors":"Chunsik Yi, Steven K. Graham","doi":"10.1145/99412.99437","DOIUrl":null,"url":null,"abstract":"In this paper, we present a description of a Prolog implementation of a system (RTR) for “real-time reasoning”, similar to those discussed by Perlis (see [3] and [6]). The reasoning to be performed by the system is “real-time” in two different senses. First, reasoning is considered to be a continuing process rather than an isolated calculation of the consequences of an axiom set, with such a process being analogous to that required to create a computer or robotic system with some autonomy. Secondly, our system addresses the combinatorial problems inherent in theorem proving by applying inference rules to only a small working set of observations and axioms. Such a system provides one approach to non-monotonic reasoning, allowing the derivation of inconsistent facts within the working set and then providing a means of resolving the conflict.","PeriodicalId":147067,"journal":{"name":"Symposium on Small Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Real-time reasoning with PROLOG\",\"authors\":\"Chunsik Yi, Steven K. Graham\",\"doi\":\"10.1145/99412.99437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a description of a Prolog implementation of a system (RTR) for “real-time reasoning”, similar to those discussed by Perlis (see [3] and [6]). The reasoning to be performed by the system is “real-time” in two different senses. First, reasoning is considered to be a continuing process rather than an isolated calculation of the consequences of an axiom set, with such a process being analogous to that required to create a computer or robotic system with some autonomy. Secondly, our system addresses the combinatorial problems inherent in theorem proving by applying inference rules to only a small working set of observations and axioms. Such a system provides one approach to non-monotonic reasoning, allowing the derivation of inconsistent facts within the working set and then providing a means of resolving the conflict.\",\"PeriodicalId\":147067,\"journal\":{\"name\":\"Symposium on Small Systems\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Small Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/99412.99437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Small Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/99412.99437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present a description of a Prolog implementation of a system (RTR) for “real-time reasoning”, similar to those discussed by Perlis (see [3] and [6]). The reasoning to be performed by the system is “real-time” in two different senses. First, reasoning is considered to be a continuing process rather than an isolated calculation of the consequences of an axiom set, with such a process being analogous to that required to create a computer or robotic system with some autonomy. Secondly, our system addresses the combinatorial problems inherent in theorem proving by applying inference rules to only a small working set of observations and axioms. Such a system provides one approach to non-monotonic reasoning, allowing the derivation of inconsistent facts within the working set and then providing a means of resolving the conflict.