Connectionist Symbolic Integration
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Connectionist Symbolic Integration
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Author : Ron Sun
language : en
Publisher: Psychology Press
Release Date : 2013-04-15
Connectionist Symbolic Integration written by Ron Sun and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Psychology categories.
A variety of ideas, approaches, and techniques exist -- in terms of both architecture and learning -- and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area. This book is the outgrowth of The IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume. This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.
Connectionist Symbolic Integration From Unified To Hybrid Approaches
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Author : Frederic Alexandre
language : en
Publisher:
Release Date : 1995
Connectionist Symbolic Integration From Unified To Hybrid Approaches written by Frederic Alexandre and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Connectionist Symbolic Integration
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Author : Ron Sun
language : en
Publisher: Psychology Press
Release Date : 2013-04-15
Connectionist Symbolic Integration written by Ron Sun and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Psychology categories.
A variety of ideas, approaches, and techniques exist -- in terms of both architecture and learning -- and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area. This book is the outgrowth of The IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume. This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.
Hybrid Connectionist Symbolic Modules
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Author : Ron Sun
language : en
Publisher:
Release Date : 1996
Hybrid Connectionist Symbolic Modules written by Ron Sun and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Modular Integration Of Connectionist And Symbolic Processing In Knowledge Based Systems
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Author : M. Hilario
language : en
Publisher:
Release Date : 1994
Modular Integration Of Connectionist And Symbolic Processing In Knowledge Based Systems written by M. Hilario and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Computational Architectures Integrating Neural And Symbolic Processes
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Author : Ron Sun
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-11-30
Computational Architectures Integrating Neural And Symbolic Processes written by Ron Sun and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-11-30 with Computers categories.
Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses on a currently emerging body of research. With the reemergence of neural networks in the 1980s with their emphasis on overcoming some of the limitations of symbolic AI, there is clearly a need to support some form of high-level symbolic processing in connectionist networks. As argued by many researchers, on both the symbolic AI and connectionist sides, many cognitive tasks, e.g. language understanding and common sense reasoning, seem to require high-level symbolic capabilities. How these capabilities are realized in connectionist networks is a difficult question and it constitutes the focus of this book. Computational Architectures Integrating Neural and Symbolic Processes addresses the underlying architectural aspects of the integration of neural and symbolic processes. In order to provide a basis for a deeper understanding of existing divergent approaches and provide insight for further developments in this field, this book presents: (1) an examination of specific architectures (grouped together according to their approaches), their strengths and weaknesses, why they work, and what they predict, and (2) a critique/comparison of these approaches. Computational Architectures Integrating Neural and Symbolic Processes is of interest to researchers, graduate students, and interested laymen, in areas such as cognitive science, artificial intelligence, computer science, cognitive psychology, and neurocomputing, in keeping up-to-date with the newest research trends. It is a comprehensive, in-depth introduction to this new emerging field.
Computational Architectures Integrating Neural And Symbolic Processes
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Author : Ron Sun
language : en
Publisher: Springer
Release Date : 2007-08-19
Computational Architectures Integrating Neural And Symbolic Processes written by Ron Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-19 with Computers categories.
Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses on a currently emerging body of research. With the reemergence of neural networks in the 1980s with their emphasis on overcoming some of the limitations of symbolic AI, there is clearly a need to support some form of high-level symbolic processing in connectionist networks. As argued by many researchers, on both the symbolic AI and connectionist sides, many cognitive tasks, e.g. language understanding and common sense reasoning, seem to require high-level symbolic capabilities. How these capabilities are realized in connectionist networks is a difficult question and it constitutes the focus of this book. Computational Architectures Integrating Neural and Symbolic Processes addresses the underlying architectural aspects of the integration of neural and symbolic processes. In order to provide a basis for a deeper understanding of existing divergent approaches and provide insight for further developments in this field, this book presents: (1) an examination of specific architectures (grouped together according to their approaches), their strengths and weaknesses, why they work, and what they predict, and (2) a critique/comparison of these approaches. Computational Architectures Integrating Neural and Symbolic Processes is of interest to researchers, graduate students, and interested laymen, in areas such as cognitive science, artificial intelligence, computer science, cognitive psychology, and neurocomputing, in keeping up-to-date with the newest research trends. It is a comprehensive, in-depth introduction to this new emerging field.
Perspectives Of Neural Symbolic Integration
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Author : Barbara Hammer
language : en
Publisher: Springer
Release Date : 2007-08-14
Perspectives Of Neural Symbolic Integration written by Barbara Hammer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-14 with Technology & Engineering categories.
When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering `loose' coupling by means of structure kernels or recursive models as well as `strong' coupling of logic and neural networks.
Neural Symbolic Integration
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Author :
language : en
Publisher:
Release Date : 2009
Neural Symbolic Integration written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
In this thesis, we discuss different techniques to bridge the gap between two different approaches to artificial intelligence: the symbolic and the connectionist paradigm. Both approaches have quite contrasting advantages and disadvantages. Research in the area of neural-symbolic integration aims at bridging the gap between them. Starting from a human readable logic program, we construct connectionist systems, which behave equivalently. Afterwards, those systems can be trained, and later the refined knowledge be extracted.
Engineering Intelligent Hybrid Multi Agent Systems
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Author : Rajiv Khosla
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Engineering Intelligent Hybrid Multi Agent Systems written by Rajiv Khosla and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in 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 is demonstrated. The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.