{"title":"逻辑推理和决策能力","authors":"D. Ong, S. Khaddaj, R. Bashroush","doi":"10.1109/CIS.2011.6169130","DOIUrl":null,"url":null,"abstract":"Most intelligent systems have some form of decision making mechanisms built into their organisations. These normally include a logical reasoning element into their design. This paper reviews and compares the different logical reasoning strategies, and tries to address the accuracy and precision of decision making by formulating a tolerance to imprecision view which can be used in conjunction with the various reasoning strategies.","PeriodicalId":286889,"journal":{"name":"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Logical reasoning and decision making\",\"authors\":\"D. Ong, S. Khaddaj, R. Bashroush\",\"doi\":\"10.1109/CIS.2011.6169130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most intelligent systems have some form of decision making mechanisms built into their organisations. These normally include a logical reasoning element into their design. This paper reviews and compares the different logical reasoning strategies, and tries to address the accuracy and precision of decision making by formulating a tolerance to imprecision view which can be used in conjunction with the various reasoning strategies.\",\"PeriodicalId\":286889,\"journal\":{\"name\":\"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2011.6169130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2011.6169130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Most intelligent systems have some form of decision making mechanisms built into their organisations. These normally include a logical reasoning element into their design. This paper reviews and compares the different logical reasoning strategies, and tries to address the accuracy and precision of decision making by formulating a tolerance to imprecision view which can be used in conjunction with the various reasoning strategies.
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