Solving the Frame Problem
Solving the Frame Problem

Author: Murray Shanahan

Publisher: MIT Press

Published: 1997

Total Pages: 456

ISBN-13: 9780262193849

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In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book's concluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. Artificial Intelligence series

The Robots Dilemma
The Robots Dilemma

Author: Zenon W. Pylyshyn

Publisher: Praeger

Published: 1987

Total Pages: 180

ISBN-13:

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Each of the chapters in this volume devotes considerable attention to defining and elaborating the notion of the frame problem-one of the hard problems of artificial intelligence. Not only do the chapters clarify the problems at hand, they shed light on the different approaches taken by those in artificial intelligence and by certain philosophers who have been concerned with related problems in their field. The book should therefore not be read merely as a discussion of the frame problem narrowly conceived, but also as a general analysis of what could be a major challenge to the design of computer systems exhibiting general intelligence.

The Robots Dilemma Revisited
The Robots Dilemma Revisited

Author: Kenneth M. Ford

Publisher: Praeger

Published: 1996

Total Pages: 0

ISBN-13: 1567501427

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The chapters in this book have evolved from talks originally presented at The First International Workshop on Human and Machine Cognition. Although the workshop took place in1989, the papers that appear here are more recent, completed some time after the workshop. They reflect both the spontaneous exchanges in that halcyon setting and the extensive review process.

Foundational Issues in Artificial Intelligence and Cognitive Science
Foundational Issues in Artificial Intelligence and Cognitive Science

Author: Mark H. Bickhard

Publisher: Elsevier

Published: 1995-03-07

Total Pages: 397

ISBN-13: 0080867634

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The book focuses on a conceptual flaw in contemporary artificial intelligence and cognitive science. Many people have discovered diverse manifestations and facets of this flaw, but the central conceptual impasse is at best only partially perceived. Its consequences, nevertheless, visit themselves asdistortions and failures of multiple research projects - and make impossible the ultimate aspirations of the fields. The impasse concerns a presupposition concerning the nature of representation - that all representation has the nature of encodings: encodingism. Encodings certainly exist, butencodingism is at root logically incoherent; any programmatic research predicted on it is doomed too distortion and ultimate failure. The impasse and its consequences - and steps away from that impasse - are explored in a large number of projects and approaches. These include SOAR, CYC, PDP, situated cognition, subsumption architecture robotics, and the frame problems - a general survey of the current research in AI and Cognitive Science emerges. Interactivism, an alternative model of representation, is proposed and examined.

Boomeritis
Boomeritis

Author: Ken Wilber

Publisher: Shambhala Publications

Published: 2003-09-09

Total Pages: 465

ISBN-13: 0834821796

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Ken Wilber's latest book is a daring departure from his previous writings—a highly original work of fiction that combines brilliant scholarship with tongue-in-cheek storytelling to present the integral approach to human development that he expounded in more conventional terms in his recent A Theory of Everything. The story of a naïve young grad student in computer science and his quest for meaning in a fragmented world provides the setting in which Wilber contrasts the alienated "flatland" of scientific materialism with the integral vision, which embraces body, mind, soul, and spirit in self, culture, and nature. The book especially targets one of the most stubborn obstacles to realizing the integral vision: a disease of egocentrism and narcissism that Wilber calls "boomeritis" because it seems to plague the baby-boomer generation most of all. Through a series of sparkling seminar-lectures skillfully interwoven with the hero's misadventures in the realms of sex, drugs, and popular culture, all of the major tenets of extreme postmodernism are criticized—and exemplified—including the author's having a bad case of boomeritis himself. Parody, intellectual slapstick, and a mind-twisting surprise ending unite to produce a highly entertaining summary of the work of cutting-edge theorists in human development from around the world.

Artificial Intelligence
Artificial Intelligence

Author: John Haugeland

Publisher: MIT Press

Published: 1989-01-06

Total Pages: 306

ISBN-13: 9780262580953

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"Machines who think—how utterly preposterous," huff beleaguered humanists, defending their dwindling turf. "Artificial Intelligence—it's here and about to surpass our own," crow techno-visionaries, proclaiming dominion. It's so simple and obvious, each side maintains, only a fanatic could disagree. Deciding where the truth lies between these two extremes is the main purpose of John Haugeland's marvelously lucid and witty book on what artificial intelligence is all about. Although presented entirely in non-technical terms, it neither oversimplifies the science nor evades the fundamental philosophical issues. Far from ducking the really hard questions, it takes them on, one by one. Artificial intelligence, Haugeland notes, is based on a very good idea, which might well be right, and just as well might not. That idea, the idea that human thinking and machine computing are "radically the same," provides the central theme for his illuminating and provocative book about this exciting new field. After a brief but revealing digression in intellectual history, Haugeland systematically tackles such basic questions as: What is a computer really? How can a physical object "mean" anything? What are the options for computational organization? and What structures have been proposed and tried as actual scientific models for intelligence? In a concluding chapter he takes up several outstanding problems and puzzles—including intelligence in action, imagery, feelings and personality—and their enigmatic prospects for solution.

The Frame Problem in Artificial Intelligence
The Frame Problem in Artificial Intelligence

Author: Frank M. Brown

Publisher: Morgan Kaufmann

Published: 2014-05-12

Total Pages: 368

ISBN-13: 1483214435

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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.

Logical Foundations of Artificial Intelligence
Logical Foundations of Artificial Intelligence

Author: Michael R. Genesereth

Publisher: Morgan Kaufmann

Published: 2012-07-05

Total Pages: 427

ISBN-13: 0128015543

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Intended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.

Minds, Machines and Evolution
Minds, Machines and Evolution

Author: Christopher Hookway

Publisher: CUP Archive

Published: 1986-07-31

Total Pages: 196

ISBN-13: 9780521338288

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Original essays written by philosophers and scientists and dealing with philosophical questions arising from work in evolutionary biology and artificial intelligence.

Human Compatible
Human Compatible

Author: Stuart Jonathan Russell

Publisher: Penguin Books

Published: 2019

Total Pages: 354

ISBN-13: 0525558616

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A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.