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Proceedings 11th International Conference on Tools with Artificial Intelligence最新文献

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Dynamical cognitive network-an extension of fuzzy cognitive map 动态认知网络——模糊认知图的扩展
Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI: 10.1109/TAI.1999.809764
Yuan Miao, Zhi-qiang Liu, Shi Li, C. Siew
{"title":"Dynamical cognitive network-an extension of fuzzy cognitive map","authors":"Yuan Miao, Zhi-qiang Liu, Shi Li, C. Siew","doi":"10.1109/TAI.1999.809764","DOIUrl":"https://doi.org/10.1109/TAI.1999.809764","url":null,"abstract":"We present a dynamic cognitive network (DCN) which is a systematic extension of the fuzzy cognitive map (FCM). Each concept in a dynamic cognitive network can have its own value set, depending on how precisely it needs to be described in the network. This enables the dynamic cognitive network to describe the strength of the cause and the degree of the effect. This ability also enables DCN to carry out inferences via numerical calculation instead of symbolic deduction. The arcs of DCN define dynamic relationships between concepts and describe the causal procedures. DCN overcomes the problems of FCM without losing the essential advantages.","PeriodicalId":194023,"journal":{"name":"Proceedings 11th International Conference on Tools with Artificial Intelligence","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 188
Two-sided hypotheses generation for abductive analogical reasoning 溯因类比推理的双面假设生成
Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI: 10.1109/TAI.1999.809779
A. Abe
{"title":"Two-sided hypotheses generation for abductive analogical reasoning","authors":"A. Abe","doi":"10.1109/TAI.1999.809779","DOIUrl":"https://doi.org/10.1109/TAI.1999.809779","url":null,"abstract":"In general, if a knowledge base lacks the necessary knowledge, abductive reasoning cannot explain an observation. Therefore, it is necessary to generate missing hypotheses. CMS can generate missing hypotheses, but it can only generate short-cut hypotheses or hypotheses that will not be placed on real leaves. That is, the inference path is incomplete (truncated), so that abduction is not complete. The inference proposed tries to generate missing hypotheses that are placed on the middle of the inference path by both abductive inference and deductive inference using analogical mapping. As a result, the inference can generate missing hypotheses even on the middle of the inference path.","PeriodicalId":194023,"journal":{"name":"Proceedings 11th International Conference on Tools with Artificial Intelligence","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114194337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
GraGA: a graph based genetic algorithm for airline crew scheduling GraGA:一种基于图的航空机组调度遗传算法
Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI: 10.1109/TAI.1999.809761
H. Ozdemir, C. Mohan
{"title":"GraGA: a graph based genetic algorithm for airline crew scheduling","authors":"H. Ozdemir, C. Mohan","doi":"10.1109/TAI.1999.809761","DOIUrl":"https://doi.org/10.1109/TAI.1999.809761","url":null,"abstract":"Crew scheduling is an NP-hard constrained combinatorial optimization problem, which is very important for the airline industry. We propose a genetic algorithm, GraGA, to solve this problem. A new graph based representation utilizes memory effectively, and provides a framework in which we can easily develop various genetic operators.","PeriodicalId":194023,"journal":{"name":"Proceedings 11th International Conference on Tools with Artificial Intelligence","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132649972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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