Modern organizational information systems increasingly contain multiple subsystems of various types, such as database management systems (DBMS), decision support systems (DSS), and knowledge based systems (KBS). There...
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In designing semi-conductors, it is important to have software simulations to verify that the original requirements are satisfied. However, most of designers don't have the knowledge to create sophisticated simula...
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This paper presents a case study of a successful intelligent system developed for use internally at Digital's customer support centers. CANASTA1 (The Crash Analysis Troubleshooting Assistant) is a Digital propriet...
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This paper discusses the architecture developed at LNK, called InFuse (Intelligent Fusion), for the multiple sensor fusion problem. InFuse exploits the notion of combining expertsystems and neural networks to capture...
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In this report, we present the test results of an approach to evaluating the quality of expertsystems. The solution we propose is a multiple-criteria and multiple-stakeholder based subjective assessment technique. Th...
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This paper addresses the problem of how to build expertsystems to recognize vague or incomplete images. The focus is on the partial match and estimation of supports, per degree of similarity, of each possible option....
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Of central importance in active databases are the paradigms and algorithms for determining when various rules and processes should be executed. In active expert databases, current methodologies distinguish between the...
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The Genetic Algorithm (GA) is a powerful search paradigm which combines elements from evolutionary biology with concepts from population genetics. Because they operate in a domain independent fashion, GAs have been su...
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ReDS is a distributed intelligent manufacturing scheduling system developed at SCR since 1984. It was initially designed as a Requirement Driven Scheduling system and has been evolved into a realtime distributed sched...
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