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Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications最新文献

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A fault diagnosis system based on parallel interaction 基于并行交互的故障诊断系统
Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications Pub Date : 1988-05-25 DOI: 10.1109/AIIA.1988.13277
K. Nakamura, S. Kobayashi
{"title":"A fault diagnosis system based on parallel interaction","authors":"K. Nakamura, S. Kobayashi","doi":"10.1109/AIIA.1988.13277","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13277","url":null,"abstract":"The authors present a fault diagnosis system with parallel reasoning and interaction. Flexible reasoning requires the following functions: (a) to run multiple goal-driven reasoning processes in parallel, and (b) to control the reasoning processes dynamically in the user initiative or the system initiative mode. Multiple queries are shown simultaneously in the query window. The user may select and answer only important queries related to his current focus. The user can alter the diagnostic strategy voluntarily and dynamically according to the stage reached in the diagnosis session. Application of this system to an operating system driving a rotary cutting machine is shown.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126884601","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: 2
Knowledge-based multi-media database management system and its application to map information systems 基于知识的多媒体数据库管理系统及其在地图信息系统中的应用
Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications Pub Date : 1988-05-25 DOI: 10.1109/AIIA.1988.13328
S. Shimada, T. Miyatake, H. Matsushima, M. Ejiri
{"title":"Knowledge-based multi-media database management system and its application to map information systems","authors":"S. Shimada, T. Miyatake, H. Matsushima, M. Ejiri","doi":"10.1109/AIIA.1988.13328","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13328","url":null,"abstract":"A structure of a multimedia database management system that enables inferential retrieval and automatic construction is proposed. It consists of three parts, namely, a knowledge base at the top, a relational manager in the middle, and a media-oriented manager at the bottom. An automatic recognition and data input method for map figure data and an automatic database construction method and renewal capability are introduced. The effectiveness of these methods has been confirmed by applying them to a prototype map-based system for utility management.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126052038","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: 3
The structured description of the knowledge in the situation recognition 情境识别中知识的结构化描述
Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications Pub Date : 1988-05-25 DOI: 10.1109/AIIA.1988.13350
H. Shimakawa, S. Ikebata
{"title":"The structured description of the knowledge in the situation recognition","authors":"H. Shimakawa, S. Ikebata","doi":"10.1109/AIIA.1988.13350","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13350","url":null,"abstract":"In fault diagnoses, situations such as abnormal behaviour and symptoms of equipment and instruments are recognized. Real-time situation recognition would realize the advanced maintenance of industrial equipment and instruments. The authors explain how to specify the structured knowledge description for real-time situation recognition. Complexity and modularity which are the difficulties in knowledge description are explained. Data abstractions are applied to avoid the excess of information. An abstract-data-type mechanism is applied to represent concepts, relations, and situations. Modules which have autonomy and communication mechanisms are proposed as cooperative computational units. A language which grounds the modules and contains specialized mechanisms for real-time situation recognition is also explained.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121755809","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
On the thresholds of knowledge 关于知识的门槛
Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications Pub Date : 1987-08-23 DOI: 10.1109/AIIA.1988.13308
D. Lenat, E. Feigenbaum
{"title":"On the thresholds of knowledge","authors":"D. Lenat, E. Feigenbaum","doi":"10.1109/AIIA.1988.13308","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13308","url":null,"abstract":"Three major findings in the domain of artificial intelligence are articulated. The first is the knowledge principle, which states that if a program is to perform a complex task well, it must know a great deal about the world in which it operates. The second is a plausible extension of that principle, called the breadth hypothesis, which states that there are two additional abilities necessary for intelligent behavior in unexpected situations: falling back on increasingly general knowledge, and analogizing to specific but far-flung knowledge. The third finding is a concept of AI as an empirical inquiry system requiring the experimental testing of ideas on large problems. It is concluded that together these concepts can determine a direction for future AI research.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1987-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122997436","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: 373
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