Principles Of Semantic Networks
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Principles Of Semantic Networks
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Author : Alexander Borgida
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 1991
Principles Of Semantic Networks written by Alexander Borgida and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Principles Of Semantic Networks
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Author :
language : en
Publisher:
Release Date : 1991
Principles Of Semantic Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Artificial intelligence categories.
Principles Of Semantic Networks
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Author : John F. Sowa
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-07-10
Principles Of Semantic Networks written by John F. Sowa and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-10 with Computers categories.
Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.
Principles Of Semantic Networks
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Author : John Sowa
language : en
Publisher:
Release Date : 2014
Principles Of Semantic Networks written by John Sowa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.
Associative Networks
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Author : Nicholas V. Findler
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Associative Networks written by Nicholas V. Findler and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Reference categories.
Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.
The Principles Of Deep Learning Theory
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Author : Daniel A. Roberts
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-26
The Principles Of Deep Learning Theory written by Daniel A. Roberts and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Computers categories.
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Semantic Networks In Artificial Intelligence
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Author : Fritz W. Lehmann
language : en
Publisher: Pergamon
Release Date : 1992
Semantic Networks In Artificial Intelligence written by Fritz W. Lehmann and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Hardbound. Semantic Networks are graphic structures used to represent concepts and knowledge in computers. Key uses include natural language understanding, information retrieval, machine vision, object-oriented analysis and dynamic control of combat aircraft. This major collection addresses every level of reader interested in the field of knowledge representation. Easy to read surveys of the main research families, most written by the founders, are followed by 25 widely varied articles on semantic networks and the conceptual structure of the world. Some extend ideas of philosopher Charles S Peirce 100 years ahead of his time. Others show connections to databases, lattice theory, semiotics, real-world ontology, graph-grammers, lexicography, relational algebras, property inheritance and semantic primitives. Hundreds of pictures show semantic networks as a visual language of thought.
The Oxford Handbook Of Political Networks
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Author : Jennifer Nicoll Victor
language : en
Publisher: Oxford University Press
Release Date : 2017-08-23
The Oxford Handbook Of Political Networks written by Jennifer Nicoll Victor and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-23 with Political Science categories.
Networks are omnipresent in our natural and social world, and they are at the heart of politics. Relationships of many types drive political institutions, processes, and decision-making. Therefore, it is imperative for the study of politics to include network approaches. Already, these approaches have advanced our understanding of critical questions, such as: Why do people vote? How can people build problem-solving coalitions? How can governments and organizations foster innovations? How can countries build ties that promote peace? What are the most fruitful strategies for disrupting arms or terrorist networks? This volume is designed as a foundational statement and resource. The contributions offer instruction on network theory and methods at both beginner and advanced levels, as well as an assessment of the state-of-the-discipline on a variety of applied network topics in politics. Through this dynamic collection of essays, The Oxford Handbook of Political Networks elucidates how the field is transforming and what that means for the future of political science.
The Knowledge Frontier
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Author : Nick Cercone
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Knowledge Frontier written by Nick Cercone 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.
Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how to modify the knowledge in the face of a changing world. how to reason with the knowledge. and how tc use the knowledge appropriately in the creation of the application solution. This volume contains an elaboration of many of these basic issues from a variety of perspectives.
Semantic Cognition
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Author : Timothy T. Rogers
language : en
Publisher: MIT Press
Release Date : 2004
Semantic Cognition written by Timothy T. Rogers and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.