Representations Of Commonsense Knowledge
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Representations Of Commonsense Knowledge
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Author : Ernest Davis
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-07-10
Representations Of Commonsense Knowledge written by Ernest Davis 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.
Representations of Commonsense Knowledge provides a rich language for expressing commonsense knowledge and inference techniques for carrying out commonsense knowledge. This book provides a survey of the research on commonsense knowledge. Organized into 10 chapters, this book begins with an overview of the basic ideas on artificial intelligence commonsense reasoning. This text then examines the structure of logic, which is roughly analogous to that of a programming language. Other chapters describe how rules of universal validity can be applied to facts known with absolute certainty to deduce other facts known with absolute certainty. This book discusses as well some prominent issues in plausible inference. The final chapter deals with commonsense knowledge about the interrelations and interactions among agents and discusses some issues in human and social interactions that have been studied in the artificial intelligence literature. This book is a valuable resource for students on a graduate course on knowledge representation.
The Representation Of Commonsense Knowledge About Space For Design
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Author : Susan M. Green
language : en
Publisher:
Release Date : 1989
The Representation Of Commonsense Knowledge About Space For Design written by Susan M. Green and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
The Role Of Logic In Knowledge Representation And Commonsense Reasoning
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Author : SRI International. Artificial Intelligence Center
language : en
Publisher:
Release Date : 1982
The Role Of Logic In Knowledge Representation And Commonsense Reasoning written by SRI International. Artificial Intelligence Center and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.
This paper examines the role that formal logic ought to play in representing and reasoning with commonsense knowledge, We take issue with the commonly held view (as expressed by Newell [1980)) that the use of representations based on formal logic is inappropriate in most applications of artificial intelligence. We argue to the contrary that there is an important set of issues, involving incomplete knowledge of a problem situation, that so far have been addressed only by systems b)ased on formal logic and deductive inference, and that, in some sense, probably can be dealt with only by systems based on logic and deduction. We further argue that the experiments of the late l960s on problem- solving by theorem-proving did not show that the use of logic and deduction in AI systems was necessarily inefficient, but rather that what was needed was better control of the deduction process, combined with more attention to the computational properties of axioms.
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.
Commonsense Reasoning
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Author : Erik T. Mueller
language : en
Publisher: Elsevier
Release Date : 2010-07-26
Commonsense Reasoning written by Erik T. Mueller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-26 with Computers categories.
To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. The first full book on commonsense reasoning to use the event calculus. Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. Includes fully worked out proofs and circumscriptions for every example.
Knowledge Based Intelligent Information And Engineering Systems
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Author : Mircea Gh. Negoita
language : en
Publisher: Springer
Release Date : 2004-10-14
Knowledge Based Intelligent Information And Engineering Systems written by Mircea Gh. Negoita and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-14 with Computers categories.
We were very pleased to once again extend to the delegates and, we are pleased to th say, our friends the warmest of welcomes to the 8 International Conference on Knowledge-Based Intelligent Information and Engineering Systems at Wellington - stitute of Technology in Wellington, New Zealand. The KES conferences attract a wide range of interest. The broad focus of the c- ference series is the theory and applications of computational intelligence and em- gent technologies. Once purely a research field, intelligent systems have advanced to the point where their abilities have been incorporated into many conventional appli- tion areas. The quest to encapsulate human knowledge and capabilities in domains such as reasoning, problem solving, sensory analysis, and other complex areas has been avidly pursued. This is because it has been demonstrated that these abilities have definite practical applications. The techniques long ago reached the point where they are being exploited to provide commercial advantages for companies and real beneficial effects on profits. KES 2004 provided a valuable mechanism for delegates to obtain a profound view of the latest intelligent systems research into a range of - gorithms, tools and techniques. KES 2004 also gave delegates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represents a uniquely valuable opportunity for - preciating the full spectrum of intelligent-systems activity and the “state of the art”.
Artificial Intelligence Commonsense Knowledge
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-29
Artificial Intelligence Commonsense Knowledge written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Computers categories.
What Is Artificial Intelligence Commonsense Knowledge In the field of artificial intelligence research, "commonsense knowledge" refers to truths about the real world, such as "Lemons are sour" or "Cows say moo," that are considered to be assumed to be known by every human being. It is a challenge that has not yet been resolved in the field of Artificial General Intelligence. Advice Taker, created in 1959 by John McCarthy, was the first artificial intelligence program to address common sense information. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Commonsense knowledge (artificial intelligence) Chapter 2: Artificial intelligence Chapter 3: Knowledge representation and reasoning Chapter 4: Symbolic artificial intelligence Chapter 5: Commonsense reasoning Chapter 6: Logic in computer science Chapter 7: Computational intelligence Chapter 8: Frame (artificial intelligence) Chapter 9: Explainable artificial intelligence Chapter 10: Glossary of artificial intelligence (II) Answering the public top questions about artificial intelligence commonsense knowledge. (III) Real world examples for the usage of artificial intelligence commonsense knowledge in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence commonsense knowledge' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence commonsense knowledge.
Handbook Of Knowledge Representation
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Author : Frank van Harmelen
language : en
Publisher: Elsevier
Release Date : 2008-01-08
Handbook Of Knowledge Representation written by Frank van Harmelen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-08 with Computers categories.
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily
Knowledge Representation And Reasoning
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Author : Ronald Brachman
language : en
Publisher: Morgan Kaufmann
Release Date : 2004-05-19
Knowledge Representation And Reasoning written by Ronald Brachman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-19 with Computers categories.
Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.
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.