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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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,Agent Oriented Analysis and Design of the RTAPS — Part II, agent oriented analysis of the RTAPS, namely, the vocabulary of the problem solving agents is described in this chapter. This is followed by the agent oriented design of the RTAPS which includes identification of software and intelligent agents to be used by the problem solving agents, mapping of t
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From Data Repositories to Knowledge Repositories,tems. Since the 1980’s computerized information has been regarded as a strategic resource. The 1990’s decade can be labeled as the era of globalization of economies. Organizations in the developed world are shifting from purely information based to knowledge based organizations. Today knowledge is b
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IMAHDA Revisited, viza-viz these areas. This is to enable the reader emerge from the methodological details, architectural details, application details of IMAHDA and get a broader view of the issues which have been addressed in this book. So in this final chapter IMAHDA and the concepts espoused by it are revisited
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The Origins of Modern Banking in Cyprus problems. 1991; Liu et al. 1992). The problems range from the enormous size of the power system to the fast response time constraints in emergency situations. This is the primary reason for selecting this domain as the domain of application.
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https://doi.org/10.1007/978-1-349-27569-4he software and intelligent agents on to the problem solving agents, and establishing the order of execution precedence of the problem solving agents. Finally, emergent behavioral characteristics of this multi-agent distributed architecture of the RTAPS are outlined.
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sign 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 mi
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Edward P. Neufeld,Harry Hassanwaliathe problem domain. It involves providing a natural language description of the problem, determining the different levels of abstraction which divide the problem space and determining the organization of these levels.
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