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Proceedings Eighth Conference on Artificial Intelligence for Applications最新文献

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Intelligent assistance for the communication of information in large organizations 在大型组织中进行信息交流的智能辅助
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200026
R. Kass, I. Stadnyk
{"title":"Intelligent assistance for the communication of information in large organizations","authors":"R. Kass, I. Stadnyk","doi":"10.1109/CAIA.1992.200026","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200026","url":null,"abstract":"A communication problem rooted in the lack of knowledge individuals have about the knowledge and information needs of others in their organization is discussed. The context is the engineering release process in manufacturing organizations. In Vision is a prototype system that addresses these communication problems by maintaining explicit models of users' knowledge and information needs. To do this, In Vision uses several artificial intelligence (AI) techniques, including a terminological knowledge representation language, inference rules, implicit user model acquisition, and specification by reformulation. The application of these techniques to this problem are described, along with an overall description of the system's architecture. Two other approaches to this communication problem, Information Lens and Infoscope, are also examined and compared with In Vision, and the limitations of the current In Vision system are discussed.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115505321","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
Distributed Big Brother 分布式老大哥
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200044
Young-pa So, E. Durfee
{"title":"Distributed Big Brother","authors":"Young-pa So, E. Durfee","doi":"10.1109/CAIA.1992.200044","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200044","url":null,"abstract":"Distributed Big Brother (DBB) is a distributed network management system consisting of cooperating autonomous computing agents. The techniques for distributed network management that were developed to build DBB are described. DBB represents a pragmatic blending of diverse technologies from the field of distributed artificial intelligence (AI), such as contract formation, organizational structuring, election for role assignment, and hierarchical control. The result is a network management system in which separate management agents reconfigure themselves when hardware and software failures occur to assure the authority structure demanded by network operators. The efforts illustrate how integrating existing distributed AI technologies can meet realistic needs and can highlight open problems that require the development of new technologies.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129345535","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
Learning and representing concepts with graded structure 用分级结构学习和表示概念
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200033
J. Zhang
{"title":"Learning and representing concepts with graded structure","authors":"J. Zhang","doi":"10.1109/CAIA.1992.200033","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200033","url":null,"abstract":"The author presents a novel method for representing and learning concepts with graded structure. The method uses a hybrid concept representation that combines symbolic and numeric representations. In learning a concept, the method builds a general concept description for representing common cases of the concept. Such a description is in the form of decision rules, interpreted by a weighted distance measure, and numerical thresholds. The method has been implemented in the system FCLS (flexible concept learning system) and tested on a variety of problems.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132378756","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: 0
A constraint satisfaction approach to the resolution of uncertainty in image interpretation 图像解译中不确定性解决的约束满足方法
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200020
P. Cullen, J. H. Hull, S. Srihari
{"title":"A constraint satisfaction approach to the resolution of uncertainty in image interpretation","authors":"P. Cullen, J. H. Hull, S. Srihari","doi":"10.1109/CAIA.1992.200020","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200020","url":null,"abstract":"A technique for image interpretation based on the constraint satisfaction methodology is described. The technique uses an intelligent backtracking algorithm to solve the constraint satisfaction problem and also analyzes failures of the backtracking routine to suggest modifications to help locate a solution. This technique is able to overcome uncertainties in image interpretation by generating partial solutions and inferring values for the missing objects. An outline of this processing is presented and an application of this technique is also given. The technique is compared to another approach in the same domain. Preliminary results on over 1000 test images are included.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121342562","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: 17
A multi-level diagnosis methodology for complex systems 复杂系统的多层次诊断方法
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200014
X. Yu, Gautam Biswas
{"title":"A multi-level diagnosis methodology for complex systems","authors":"X. Yu, Gautam Biswas","doi":"10.1109/CAIA.1992.200014","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200014","url":null,"abstract":"A multi-level approach is discussed for robust diagnosis of complex continuous-valued engineering systems. The focus of the research was on component-oriented diagnosis. The diagnosis system consists of two modules: an associational module, based on heuristic knowledge gained from manuals and expert mechanics, which generates partial decision trees for mechanics to study and conduct further tests, and a model-based diagnosis module that incorporates schematic, functional, and behavioral knowledge for fault isolation and measurement selection. The architecture of the diagnosis system is presented. A key component of this system is the global controller that coordinates the activities between the two diagnostic modules. A successful prototype for diagnosing problems in the pneumatic system of a DC-10 aircraft has been implemented.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126466779","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: 4
Design, evaluation and redesign 设计、评估和重新设计
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200040
Huan Liu, C. Rowles, W. Wen
{"title":"Design, evaluation and redesign","authors":"Huan Liu, C. Rowles, W. Wen","doi":"10.1109/CAIA.1992.200040","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200040","url":null,"abstract":"A knowledge-based design (KBD) system applies human expertise to create designs. The right choice of a particular set of heuristics for a given design is considered. The design problem is outlined, and a KB system that automates design in this domain is described. The methods used to deal with the ad hoc nature of such a system are discussed. It is demonstrated that the system generates better designs more often by choosing different sets of design rules in the light of varied situations. The problems, such as how to evaluate, how to redesign, and what is the role of experts in redesign, are studied. The result is a practical, operational system with backtracking capabilities. A practical case in telecommunications is exhibited to show how evaluation and redesign are performed.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128983195","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
Building expert systems by training with automatic neural network generating ability 通过训练建立具有自动神经网络生成能力的专家系统
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200030
Hahn-Ming Lee, Ching-Chi Hsu
{"title":"Building expert systems by training with automatic neural network generating ability","authors":"Hahn-Ming Lee, Ching-Chi Hsu","doi":"10.1109/CAIA.1992.200030","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200030","url":null,"abstract":"The authors examine the construction of a connectionist expert system without specifying the network structure before training. The generated connectionist expert system consists of many features, such as operation of forward and backward inference based on partial input information, online learning, noisy data handling, generalization, and the explanation ability. Two sample problems, the Knowledge Base Evaluator 1 and Treatment of Posiboost, are considered in order to illustrate the workings of the connectionist expert system. The training algorithm, which has network generating ability, is presented to build the knowledge base of the connectionist expert system. It provides the abilities needed to realize the described features of the connectionist expert system. This proposed system can be easily used to build expert systems quickly, and the inferencing in the developed systems will be fast.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133909604","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
A fully integrated real-time multi-tasking knowledge-based system: application to an on-board diagnostic system 一个完全集成的实时多任务知识系统:应用于机载诊断系统
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200047
G. Grelinger, P. MorizetMahoudeaux
{"title":"A fully integrated real-time multi-tasking knowledge-based system: application to an on-board diagnostic system","authors":"G. Grelinger, P. MorizetMahoudeaux","doi":"10.1109/CAIA.1992.200047","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200047","url":null,"abstract":"A flexible software architecture is required to allow problem solving in dynamic real-time situations. Such an architecture is described. It is based on a knowledge-based development system, SUPER, and a real-time multi-tasking kernel which gives to the knowledge-based system the ability to perform data input, interrupt handling, and temporal reasoning during the inference process. Methods are provided which allow the system to be responsive to important events and to focus attention dynamically. It is possible to generate a source code from the knowledge base. This code can be compiled and linked to external procedures. The application of the system to the development of an integrated real-time diagnostic system, embedded in a car, which computes its capacity to execute a maneuver safely, is described.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140258","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: 8
Integrated software environments 集成软件环境
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200025
C. Landauer
{"title":"Integrated software environments","authors":"C. Landauer","doi":"10.1109/CAIA.1992.200025","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200025","url":null,"abstract":"A modeling environment that can combine mathematical, artificial intelligence, and many other computer-based methods to explore a problem space is described. A new approach to constructing this kind of modeling environment is used. The environment uses explicit knowledge of its own structure to support the user in selecting and adapting the system components. The knowledge is in the form of wrappings, which are expert interfaces to the programs, tools, and other resources in the environment. This approach is a simple and powerful mechanism for allowing different kinds of resources to work together in an integrated way. The structure of a program is described that implements this approach. The program is used to study both the types of wrapping descriptions and the wrapping processes.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121873030","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: 7
Learning approximate diagnosis 学习近似诊断
Proceedings Eighth Conference on Artificial Intelligence for Applications Pub Date : 1992-03-02 DOI: 10.1109/CAIA.1992.200023
Y. Fattah, P. O'Rorke
{"title":"Learning approximate diagnosis","authors":"Y. Fattah, P. O'Rorke","doi":"10.1109/CAIA.1992.200023","DOIUrl":"https://doi.org/10.1109/CAIA.1992.200023","url":null,"abstract":"In earlier work on incorporating explanation-based learning (EBL) in model-based diagnosis (MBD), a diagnostic architecture integrating EBL and MBD components was suggested. The authors relax the requirement on completeness and specificity of the diagnostic candidates. They allow the learning component to make errors in a training phase where it is given feedback on its actual performance. A method is described for trading off accuracy for efficiency. In this approach, most diagnosis problems are handled by the associational rules learned from previous problems. Model-based reasoning and learning are activated only when performance drops below a given threshold. Empirical results are presented on circuits with an increasing number of components illustrating how this approach scales up.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122801975","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
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