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Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Knowledge Representation, Reasoning, and the Design of Intelligent Agents
Author: Michael Gelfond
Publisher: Cambridge University Press
Total Pages: 363
Release: 2014-03-10
Genre: Computers
ISBN: 1107782872

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Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.


Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Knowledge Representation, Reasoning, and the Design of Intelligent Agents
Author: Michael Gelfond
Publisher: Cambridge University Press
Total Pages: 363
Release: 2014-03-10
Genre: Computers
ISBN: 1107029562

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This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.


Knowledge Representation and Reasoning

Knowledge Representation and Reasoning
Author: Ronald Brachman
Publisher: Morgan Kaufmann
Total Pages: 414
Release: 2004-05-19
Genre: Computers
ISBN: 1558609326

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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.


Building Intelligent Agents

Building Intelligent Agents
Author: Gheorghe Tecuci
Publisher: Morgan Kaufmann
Total Pages: 356
Release: 1998-06-23
Genre: Computers
ISBN: 9780126851250

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Building Intelligent Agents is unique in its comprehensive coverage of the subject. The first part of the book presents an original theory for building intelligent agents and a methodology and tool that implement the theory. The second part of the book presents complex and detailed case studies of building different types of agents: an educational assessment agent, a statistical analysis assessment and support agent, an engineering design assistant, and a virtual military commander. Also featured in this book is Disciple, a toolkit for building interactive agents which function in much the same way as a human apprentice. Disciple-based agents can reason both with incomplete information, but also with information that is potentially incorrect. This approach, in which the agent learns its behavior from its teacher, integrates many machine learning and knowledge acquisition techniques, taking advantage of their complementary strengths to compensate for each others weakness. As a consequence, it significantly reduces (or even eliminates) the involvement of a knowledge engineer in the process of building an intelligent agent.


Handbook of Knowledge Representation

Handbook of Knowledge Representation
Author: Frank van Harmelen
Publisher: Elsevier
Total Pages: 1035
Release: 2008-01-08
Genre: Computers
ISBN: 0080557023

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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


Information Flow and Knowledge Sharing

Information Flow and Knowledge Sharing
Author: Flavio Soares Correa da Silva
Publisher: Elsevier
Total Pages: 294
Release: 2008-05-01
Genre: Computers
ISBN: 0080569900

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Except from the ForewordThe stated aim of the book series "Capturing Intelligence" is to publish books on research from all disciplines dealing with and affecting the issue of understanding and reproducing intelligence artificial systems. Of course, much of the work done in the past decades in this area has been of a highly technical nature, varying from hardware design for robots, software design for intelligent agents, and formal logic for reasoning.It is therefore very refreshing to see Information Flow and Knowledge Sharing. This is a courageous book indeed. It is not afraid to tackle the Big Issues: notions such as information, knowledge, information system, information flow, collaborative problem solving, and ontological reasoning. All of these notions are crucial to our understanding of intelligence and our building of intelligent artificial systems, but all too often, these Big Issues are hidden behind the curtains while the technical topics take center stage. AI has a rich history of philosophical books that have chosen a non-standard structure and narrative. It is nice to see that the authors have succeeded into combining a non-standard approach to deep questions with a non-standard format, resulting in a highly interesting volume.Frank van Harmelen, Series EditorExcerpt from the IntroductionOur interest is to promote, through a better and deeper understanding of the notions of information and knowledge, a better and deeper critical understanding of information technology as situated in the full range of human activities, assuming as a principle that this range of activities cannot be properly appreciated when it is reduced to the simplified means-end schema proposed by Technology. We invite the reader to build his/her own points of view about these notions, considering our propositions as a starting point for a critical analysis and discussion of these points. With that, we believe we are contributing to a better understanding of the impact of technology – and particularly of Information Technology – in everyday life. Flavio Soares Correa da Silva, Jaume Agusti-Cullell Bridges the gap between the technological and philosophical aspects of information technology Analyzes essential notions of IT such as information, knowledge, information system, information flow, collaborative problem solving, and ontological reasoning


Agent Technology

Agent Technology
Author: Nicholas R. Jennings
Publisher: Springer Science & Business Media
Total Pages: 338
Release: 2012-12-06
Genre: Computers
ISBN: 3662036789

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The first book to provide an integrative presentation of the issues, challenges and success of designing, building and using agent applications. The chapters presented are written by internationally leading authorities in the field, with a general audience in mind. The result is a unique overview of agent technology applications, ranging from an introduction to the technical foundations to reports on dealing with specific agent systems in practice.


Readings in Knowledge Representation

Readings in Knowledge Representation
Author: Ronald J. Brachman
Publisher: Morgan Kaufmann Publishers
Total Pages: 602
Release: 1985
Genre: Computers
ISBN:

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In Artificial Intelligence, it is often said that the representation of knowledge is the key to the design of robust intelligent systems. In one form or another the principles of Knowledge Representation are fundamental to work in natural language processing, computer vision, knowledge-based expert systems, and other areas. The papers reprinted in this volume have been collected to allow the reader with a general technical background in AI to explore the subtleties of this key subarea. These seminal articles, spanning a quarter-century of research, cover the most important ideas and developments in the representation field. The editors introduce each paper, discuss its relevance and context, and provide an extensive bibliography of other work. "Readings in Knowledge Representation" is intended to serve as a complete sourcebook for the study of this crucial subject.


The Handbook On Reasoning-based Intelligent Systems

The Handbook On Reasoning-based Intelligent Systems
Author: Kazumi Nakamatsu
Publisher: World Scientific
Total Pages: 680
Release: 2013-01-18
Genre: Computers
ISBN: 9814489166

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This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.