Ebook: Cooperating Heterogeneous Systems
Author: David G. Schwartz (auth.)
- Tags: Artificial Intelligence (incl. Robotics), Processor Architectures, Software Engineering/Programming and Operating Systems, Programming Languages Compilers Interpreters, Operating Systems
- Series: The Springer International Series in Engineering and Computer Science 299
- Year: 1995
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
Cooperating Heterogeneous Systems 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 interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation 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 work together, much as we put together adhoc work groups in our organizations to tackle complex problems.
The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.
Cooperating Heterogeneous Systems 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 interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation 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 work together, much as we put together adhoc work groups in our organizations to tackle complex problems.
The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.
Cooperating Heterogeneous Systems 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 interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation 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 work together, much as we put together adhoc work groups in our organizations to tackle complex problems.
The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.
Content:
Front Matter....Pages i-xix
Front Matter....Pages 13-13
Introduction....Pages 15-26
Blackboard Systems....Pages 27-42
Cooperation in Organizations....Pages 43-51
Meta4: Knowledge, Architecture, Programs and Control....Pages 52-58
Front Matter....Pages 59-59
Flipside: A Framework for Logic Programming Systems with Distributed Execution....Pages 61-80
A Meta-Layer for Knowledge Sources....Pages 81-92
Knowledge Source Integration....Pages 93-107
Control of Knowledge Sources....Pages 108-130
BlackLog: FLiPSiDE as a Process-Oriented Prolog....Pages 131-146
Front Matter....Pages 147-147
A CDPS Analysis of Flipside....Pages 149-168
Related Work....Pages 169-185
Conclusions....Pages 186-193
Back Matter....Pages 194-215
Cooperating Heterogeneous Systems 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 interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation 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 work together, much as we put together adhoc work groups in our organizations to tackle complex problems.
The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.
Content:
Front Matter....Pages i-xix
Front Matter....Pages 13-13
Introduction....Pages 15-26
Blackboard Systems....Pages 27-42
Cooperation in Organizations....Pages 43-51
Meta4: Knowledge, Architecture, Programs and Control....Pages 52-58
Front Matter....Pages 59-59
Flipside: A Framework for Logic Programming Systems with Distributed Execution....Pages 61-80
A Meta-Layer for Knowledge Sources....Pages 81-92
Knowledge Source Integration....Pages 93-107
Control of Knowledge Sources....Pages 108-130
BlackLog: FLiPSiDE as a Process-Oriented Prolog....Pages 131-146
Front Matter....Pages 147-147
A CDPS Analysis of Flipside....Pages 149-168
Related Work....Pages 169-185
Conclusions....Pages 186-193
Back Matter....Pages 194-215
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