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Titlebook: Engineering Intelligent Hybrid Multi-Agent Systems; Rajiv Khosla,Tharam Dillon Book 1997 Kluwer Academic Publishers 1997 algorithms.case-b

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書目名稱Engineering Intelligent Hybrid Multi-Agent Systems
編輯Rajiv Khosla,Tharam Dillon
視頻videohttp://file.papertrans.cn/311/310838/310838.mp4
圖書封面Titlebook: Engineering Intelligent Hybrid Multi-Agent Systems;  Rajiv Khosla,Tharam Dillon Book 1997 Kluwer Academic Publishers 1997 algorithms.case-b
描述.Engineering Intelligent Hybrid Multi-Agent Systems. isabout building intelligent hybrid systems. Included is coverage ofapplications and design concepts related to fusion systems,transformation systems and combination systems. These applications arein areas involving hybrid configurations of knowledge-based systems,case-based reasoning, fuzzy systems, artificial neural networks,genetic algorithms, and in knowledge discovery and data mining.Through examples and applications a synergy of these subjects isdemonstrated. . The authors introduce a multi-agent architecturaltheory for engineering intelligent associative hybrid systems. Thearchitectural theory is described at both the task structure level andthe computational level. This problem-solving architecture is relevantfor developing knowledge agents and information agents. . Anenterprise-wide system modeling framework is outlined to facilitateforward and backward integration of systems developed in theknowledge, information, and data engineering layers of anorganization. In the modeling process, software engineering aspectslike agent oriented analysis, design and reuse are developed anddescribed. . .Engineering Intelligent Hybrid
出版日期Book 1997
關(guān)鍵詞algorithms; case-based reasoning; data mining; design; fuzzy; genetic algorithms; knowledge; knowledge disc
版次1
doihttps://doi.org/10.1007/978-1-4615-6223-8
isbn_softcover978-1-4613-7854-9
isbn_ebook978-1-4615-6223-8
copyrightKluwer Academic Publishers 1997
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Intelligent Combination Systems,t systems) have been applied in a number of industrial applications. However, the approach of using these technologies by themselves alone has exposed some limitations which have discouraged their use in some industrial applications. For example, knowledge based systems are also sometimes known as “
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,Association Systems — Task Structure Level Associative Hybrid Architecture,rt systems, fuzzy logic, neural networks, and genetic algorithms. The concepts of fusion, transformation, and combination have been used in different situations or tasks, and by applying top-down and/or bottom-up knowledge engineering strategy. All these hybrid architectures have a number of advanta
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,Intelligent Multi-Agent Hybrid Computational Architecture — Part I,(Chandrasekaran 1990). In the last chapter the TSL associative hybrid architecture has been described. In this chapter the primary goal is to outline the framework of the computational level architecture. This is done through the integration of the object-oriented model, agent model, and distributed
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,Intelligent Multi-Agent Hybrid Computational Architecture — Part II,described (Khosla and Dillon 1995a, 95b, 95c, and 97). This is followed by a framework for doing dynamic analysis and verification of IMAHDA. Finally, the emergent characteristics of IMAHDA are described. All this put together provides a comprehensive view of IMAHDA and its capabilities.
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,Alarm Processing — An Application of IMAHDA,can be found in nuclear power stations, computer-controlled chemical plants, flight control, etc.. This growth however, has also brought to the forefront some of problems with the existing technologies. These problems have pushed for research into new techniques which could be used for solving these
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,Agent Oriented Analysis and Design of the RTAPS — Part I,equirement analysis) and ends with solution statement or design specifications. Requirement analysis involves complete and accurate representation of the problem domain. It involves providing a natural language description of the problem, determining the different levels of abstraction which divide
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