Principles of Knowledge Representation and Reasoning

Principles of Knowledge Representation and Reasoning PDF Author: Bernhard Nebel
Publisher: Morgan Kaufmann Publishers
ISBN:
Category : Computers
Languages : en
Pages : 834

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Book Description
Stringently reviewed papers presented at the October 1992 meeting held in Cambridge, Mass., address such topics as nonmonotonic logic; taxonomic logic; specialized algorithms for temporal, spatial, and numerical reasoning; and knowledge representation issues in planning, diagnosis, and natural langu

Principles of Knowledge Representation and Reasoning

Principles of Knowledge Representation and Reasoning PDF Author: Bernhard Nebel
Publisher: Morgan Kaufmann Publishers
ISBN:
Category : Computers
Languages : en
Pages : 834

Get Book Here

Book Description
Stringently reviewed papers presented at the October 1992 meeting held in Cambridge, Mass., address such topics as nonmonotonic logic; taxonomic logic; specialized algorithms for temporal, spatial, and numerical reasoning; and knowledge representation issues in planning, diagnosis, and natural langu

Belief Change

Belief Change PDF Author: Dov M. Gabbay
Publisher: Springer Science & Business Media
ISBN: 9401150540
Category : Mathematics
Languages : en
Pages : 452

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Book Description
Belief change is an emerging field of artificial intelligence and information science dedicated to the dynamics of information and the present book provides a state-of-the-art picture of its formal foundations. It deals with the addition, deletion and combination of pieces of information and, more generally, with the revision, updating and fusion of knowledge bases. The book offers an extensive coverage of, and seeks to reconcile, two traditions in the kinematics of belief that often ignore each other - the symbolic and the numerical (often probabilistic) approaches. Moreover, the work encompasses both revision and fusion problems, even though these two are also commonly investigated by different communities. Finally, the book presents the numerical view of belief change, beyond the probabilistic framework, covering such approaches as possibility theory, belief functions and convex gambles. The work thus presents a unified view of belief change operators, drawing from a widely scattered literature embracing philosophical logic, artificial intelligence, uncertainty modelling and database systems. The material is a clearly organised guide to the literature on the dynamics of epistemic states, knowledge bases and uncertain information, suitable for scholars and graduate students familiar with applied logic, knowledge representation and uncertain reasoning.

Logic-Based Artificial Intelligence

Logic-Based Artificial Intelligence PDF Author: Jack Minker
Publisher: Springer Science & Business Media
ISBN: 146151567X
Category : Computers
Languages : en
Pages : 600

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Book Description
The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.

Artificial Intelligence: Methodology, Systems, and Applications

Artificial Intelligence: Methodology, Systems, and Applications PDF Author: Fausto Giunchiglia
Publisher: Springer Science & Business Media
ISBN: 9783540649939
Category : Computers
Languages : en
Pages : 520

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Book Description
Content Description #Includes bibliographical references and index.

Representation and Processing of Spatial Expressions

Representation and Processing of Spatial Expressions PDF Author: Patrick Olivier
Publisher: Psychology Press
ISBN: 1135690286
Category : Psychology
Languages : en
Pages : 339

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Book Description
Coping with spatial expressions in a plausible manner is a crucial problem in a number of research fields, specifically cognitive science, artificial intelligence, psychology, and linguistics. This volume contains a set of theoretical analyses as well as accounts of applications which deal with the problems of representing and processing spatial expressions. These include dialogue understanding using mental images; interfaces to CAD and multi-media systems, such as natural language querying of photographic databases; speech-driven design and assembly; machine translation systems; spatial queries for Geographic Information Systems; and systems which generate spatial descriptions on the basis of maps, cognitive maps, or other spatial representations, such as intelligent vehicle navigation systems. Though there have been many different approaches to the representation and processing of spatial expressions, most existing computational characterizations have so far been restricted to particularly narrow problem domains, usually specific spatial contexts determined by overall system goals. To date, artificial intelligence research in this field has rarely taken advantage of language and spatial cognition studies carried out by the cognitive science community. One of the fundamental aims of this book is to bring together research from both disciplines in the belief that artificial intelligence has much to gain from an appreciation of cognitive theories.

Principles of Knowledge Representation and Reasoning

Principles of Knowledge Representation and Reasoning PDF Author: A. G. Cohn
Publisher: Morgan Kaufmann
ISBN:
Category : Computers
Languages : en
Pages : 770

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Book Description


Co-ordination in Artificial Agent Societies

Co-ordination in Artificial Agent Societies PDF Author: Sascha Ossowski
Publisher: Springer
ISBN: 3540492127
Category : Computers
Languages : en
Pages : 232

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Book Description
Advances in Computer Science often arise from new ideas and concepts, that prove to be advantageous for the design of complex software systems. The con ception of multi agent systems is particularly attractive, as it prommodul ises arity based on the conceptual speciality of an agent, as well as flexibility in their inte gration through appropriate interaction models. While early systems drew upon co operative agents, recent developments have realised the importance of the notion of autonomy in the design of agent based applications. The emergence of systems of autonomous problem solving agents paves the way for complex Artificial Intelligence applications that allow fosca r lability and at the same time foster the reusability of their components. In consequence, an intelligent multi agent application can be seen as a collec tion of autonomous agents, usually specialised in different tasks, together with a social model of their interactions. This approach implies a dynamic generation of complex relational structures, that agents need to be knowledgeable of in order to successfully achieve their goals. Therefore, a multi agent system designer needs to think carefully about conceptualisation, representation and enactment of the different types of knowledge that its agents rely on, for individual problem solving as well as for mutual co ordination.

Advances of Computational Intelligence in Industrial Systems

Advances of Computational Intelligence in Industrial Systems PDF Author: Ying Liu
Publisher: Springer Science & Business Media
ISBN: 3540782966
Category : Computers
Languages : en
Pages : 387

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Book Description
Computational Intelligence (CI) has emerged as a rapidly growing field over the past decade. This volume reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.

Computational Mathematics, Modelling and Algorithms

Computational Mathematics, Modelling and Algorithms PDF Author: J. C. Misra
Publisher: Alpha Science Int'l Ltd.
ISBN: 9788173194900
Category : Computers
Languages : en
Pages : 540

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Book Description
This comprehensive volume introduces educational units dealing with important topics in Mathematics, Modelling and Algorithms. Key Features: Illustrative examples and exercises Comprehensive bibliography

Robot Shaping

Robot Shaping PDF Author: Marco Dorigo
Publisher: MIT Press
ISBN: 9780262041645
Category : Computers
Languages : en
Pages : 238

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Book Description
foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy,"and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.