Reasoning About Knowledge

Reasoning About Knowledge PDF Author: Ronald Fagin
Publisher: MIT Press
ISBN: 9780262562003
Category : Business & Economics
Languages : en
Pages : 576

Book Description
Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes.

Reasoning About Knowledge

Reasoning About Knowledge PDF Author: Ronald Fagin
Publisher: MIT Press
ISBN: 0262562006
Category : Business & Economics
Languages : en
Pages : 532

Book Description
Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes.

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning PDF Author: Ronald Brachman
Publisher: Morgan Kaufmann
ISBN: 1558609326
Category : Computers
Languages : en
Pages : 414

Book Description
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.

Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Knowledge Representation, Reasoning, and the Design of Intelligent Agents PDF Author: Michael Gelfond
Publisher: Cambridge University Press
ISBN: 1107782872
Category : Computers
Languages : en
Pages : 363

Book Description
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 Declarative Problem Solving

Knowledge Representation, Reasoning and Declarative Problem Solving PDF Author: Chitta Baral
Publisher: Cambridge University Press
ISBN: 1139436449
Category : Computers
Languages : en
Pages : 546

Book Description
Baral shows how to write programs that behave intelligently, by giving them the ability to express knowledge and to reason. This book will appeal to practising and would-be knowledge engineers wishing to learn more about the subject in courses or through self-teaching.

Qualitative Reasoning

Qualitative Reasoning PDF Author: Benjamin Kuipers
Publisher: MIT Press
ISBN: 9780262111904
Category : Computers
Languages : en
Pages : 464

Book Description
Qualitative models are better able than traditional models to express states of incomplete knowledge about continuous mechanisms. Qualitative simulation guarantees to find all possible behaviors consistent with the knowledge in the model. This expressive power and coverage is important in problem solving for diagnosis, design, monitoring, explanation, and other applications of artificial intelligence.

How People Learn II

How People Learn II PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309459672
Category : Education
Languages : en
Pages : 347

Book Description
There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, How People Learn: Brain, Mind, Experience, and School: Expanded Edition was published and its influence has been wide and deep. The report summarized insights on the nature of learning in school-aged children; described principles for the design of effective learning environments; and provided examples of how that could be implemented in the classroom. Since then, researchers have continued to investigate the nature of learning and have generated new findings related to the neurological processes involved in learning, individual and cultural variability related to learning, and educational technologies. In addition to expanding scientific understanding of the mechanisms of learning and how the brain adapts throughout the lifespan, there have been important discoveries about influences on learning, particularly sociocultural factors and the structure of learning environments. How People Learn II: Learners, Contexts, and Cultures provides a much-needed update incorporating insights gained from this research over the past decade. The book expands on the foundation laid out in the 2000 report and takes an in-depth look at the constellation of influences that affect individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators of students and adults.

Knowledge Engineering

Knowledge Engineering PDF Author: Gheorghe Tecuci
Publisher: Cambridge University Press
ISBN: 1107122562
Category : Business & Economics
Languages : en
Pages : 481

Book Description
Using robust software, this book focuses on learning assistants for evidence-based reasoning that learn complex problem solving from humans.

Reason and the Search for Knowledge

Reason and the Search for Knowledge PDF Author: D. Shapere
Publisher: Springer Science & Business Media
ISBN: 9401097313
Category : Science
Languages : en
Pages : 478

Book Description
An impressive characteristic of Dudley Shapere's studies in the philosophy of the sciences has been his dogged reasonableness. He sorts things out, with logical care and mastery of the materials, and with an epistemological curiosity for the historical happenings which is both critical and respectful. Science changes, and the philosopher had better not link philosophical standards too tightly to either the latest orthodox or the provocative up start in scientific fashions; and yet, as critic, the philosopher must not only master the sciences but also explicate their meanings, not those of a cognitive never-never land. Neither dreamer nor pedant, Professor Shapere has been able to practice the modern empiricist's exercises with the sober and stimulat ing results shown in this volume: he sees that he can be faithful to philosoph ical analysis, engage in the boldest 'rational reconstruction' of theories and experimental measurements, and faithful too, empirically faithful we may say, to both the direct super-highways and the winding pathways of conceptual evolutions and metaphysical revolutions. Not least, Shapere listens! To Einstein and Calileo of course, but to the workings of the engineers and the scientific apprentices too, and to the various philosophers, now and of old, who have also worked to make sense of what has been learned and how that has happened and where we might go wrong.
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