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The Springer International Series in Engineering and Computer Science299- Cooperating Heterogeneous Systems

The Springer International Series in Engineering and Computer Science299- Cooperating Heterogeneous Systems

102,00 €

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Code-barres: 9780792395355

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    The Springer International Series in Engineering and Computer Science299- Cooperating Heterogeneous Systems
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À propos de ce produit

It has become clear that to take knowledge-based systems to their next useful level, it is necessary to get independent knowledge-based systems to work together, much as we put together ad hoc work groups in our organizations to tackle complex problems. This text provides an in-depth introduction to the issues and techniques surrounding the integration and control of diverse and independent software components. Organizations increasingly rely upon diverse computer systems to perform a variety of knowledge-based tasks. This presents technical issues of inter-operability and integration, as well as philosophical issues of how co-operation and interaction between computational entities is to be realized. Co-operating systems are systems that work together towards a common end. The concepts of co-operation must be realized in technically sound system architectures, having a uniform meta-layer between knowledge sources and the rest of the system. The layer consists of a family of interpreters, one for each knowledge source, and meta-knowledge. A system architecture to integrate and control diverse knowledge sources is presented. The architecture is based on the meta-level properties of the logic programming language Prolog. An implementation of the architecture is described, a Framework for Logic Programming Systems with Distributed Execution (FLiPSiDE). Knowledge-based systems play an important role in any up-to-date arsenal of decision support tools. The tremendous growth of computer communications infrastructure has made distributed computing a viable option, and often a necessity in geographically distributed organizations. It has become clear that to take knowledge-based systems to their next useful level, it is necessary to get independent knowledge-based systems to…

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