Proceedings AAAI-86, Fifth National Conference on Artificial Intelligence, August 11-15, 1986, Philadelphia, PA.

Proceedings AAAI-86, Fifth National Conference on Artificial Intelligence, August 11-15, 1986, Philadelphia, PA. PDF Author: American Association for Artificial Intelligence
Publisher:
ISBN: 9780934613132
Category :
Languages : en
Pages : 764

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Proceedings AAAI-86, Fifth National Conference on Artificial Intelligence, August 11-15, 1986, Philadelphia, PA.

Proceedings AAAI-86, Fifth National Conference on Artificial Intelligence, August 11-15, 1986, Philadelphia, PA. PDF Author: American Association for Artificial Intelligence
Publisher:
ISBN: 9780934613132
Category :
Languages : en
Pages : 764

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Book Description


AAAI-86

AAAI-86 PDF Author: AAAI Press
Publisher: Aaai Press
ISBN: 9780262510547
Category : Computers
Languages : en
Pages : 1157

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Book Description
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.

AAAI-86 proceedings

AAAI-86 proceedings PDF Author:
Publisher:
ISBN: 9780934613132
Category :
Languages : en
Pages :

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Scandinavian Conference on Artificial Intelligence 89

Scandinavian Conference on Artificial Intelligence 89 PDF Author: Hannu Jaakkola
Publisher: IOS Press
ISBN: 9789051990171
Category : Artificial intelligence
Languages : en
Pages : 1006

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Readings in Qualitative Reasoning About Physical Systems

Readings in Qualitative Reasoning About Physical Systems PDF Author: Daniel S. Weld
Publisher: Morgan Kaufmann
ISBN: 1483214478
Category : Science
Languages : en
Pages : 733

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Book Description
Readings in Qualitative Reasoning about Physical Systems describes the automated reasoning about the physical world using qualitative representations. This text is divided into nine chapters, each focusing on some aspect of qualitative physics. The first chapter deal with qualitative physics, which is concerned with representing and reasoning about the physical world. The goal of qualitative physics is to capture both the commonsense knowledge of the person on the street and the tacit knowledge underlying the quantitative knowledge used by engineers and scientists. The succeeding chapter discusses the qualitative calculus and its role in constructing an envisionment that includes behavior over both mythical time and elapsed time. These topics are followed by reviews of the mathematical aspects of qualitative reasoning, history-based simulation and temporal reasoning, as well as the intelligence in scientific computing. The final chapters are devoted to automated modeling for qualitative reasoning and causal explanations of behavior. These chapters also examine the qualitative kinematics of reasoning about shape and space. This book will prove useful to psychologists and psychiatrists.

Readings in Distributed Artificial Intelligence

Readings in Distributed Artificial Intelligence PDF Author: Alan H. Bond
Publisher: Morgan Kaufmann
ISBN: 1483214443
Category : Computers
Languages : en
Pages : 668

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Book Description
Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.

The Frame Problem in Artificial Intelligence

The Frame Problem in Artificial Intelligence PDF Author: Frank M. Brown
Publisher: Morgan Kaufmann
ISBN: 1483214435
Category : Computers
Languages : en
Pages : 368

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Book Description
The Frame Problem in Artificial Intelligence: Proceedings of the 1987 Workshop focuses on the approaches, principles, and concepts related to the frame problem in artificial intelligence (AI). The selection first tackles the definition of the frame problem, circumscription approaches and criticisms, modal logic approaches, and syntactic consistency approaches. The text then takes a look at two frame problems, frame problem in AI, and the frame problem in AI histories, including frame problem defined, mathematical frame problem, commonsense frame problem, and the problems of qualification and extended prediction and their relation to the frame problem. The publication examines tense-logic-based mitigation of the frame problem, unframing the frame problem, a truth maintenance based approach to the frame problem, and qualification problem. Topics include possible worlds, qualification and possible worlds, epistemological issues, truth maintenance, contradiction handling, application of intensional logic, development and implementation of chronolog, and approaches to solving the frame problem. The selection is a dependable source of data for researchers interested in the frame problem.

Artificial Intelligence Methods and Applications

Artificial Intelligence Methods and Applications PDF Author: Nikolaos G. Bourbakis
Publisher: World Scientific
ISBN: 9789810210571
Category : Computers
Languages : en
Pages : 742

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Book Description
This volume is the first in a series which deals with the challenge of AI issues, gives updates of AI methods and applications, and promotes high quality new ideas, techniques and methodologies in AI. This volume contains articles by 38 specialists in various AI subfields covering theoretical and application issues.

Artificial Intelligence

Artificial Intelligence PDF Author: Harry Katzan Jr.
Publisher: iUniverse
ISBN: 1663255121
Category : Fiction
Languages : en
Pages : 133

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Book Description
This book is a complete introduction to artificial intelligence for its beginning in 1956 in a conference on the subject at Dartmouth College. The term AI was conined by John MCarthy and others. The book covers the modern topics such as Chatgpt and Watson at IBM. The book covers learning, thinking, generative systems, and other modern topics. The book is easy to read and is accessible to persons of all ages. There is no violence, no sex, and no bad language.

Artificial Believers

Artificial Believers PDF Author: Afzal Ballim
Publisher: Psychology Press
ISBN: 1134749422
Category : Psychology
Languages : en
Pages : 293

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Book Description
Modeling of individual beliefs is essential to the computer understanding of natural languages. Phenomena at all levels -- syntactic, semantic, and pragmatic -- cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers. The heart of this text is the presentation of an artificial intelligence (AI) program intended to simulate certain aspects of a human believer. This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning. The authors contend that a plausible model such as this can -- in the best cognitive science tradition -- shed light on the long-standing philosophical problem of what belief is. The issues presented here will be of considerable interest to an informed general reader as well as those with a background in any of the disciplines that make up what is now called cognitive science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.