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Proceedings of the ... International Joint Conference on Artificial Intelligence

Proceedings of the ... International Joint Conference on Artificial Intelligence PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 900

Book Description


Proceedings of the ... International Joint Conference on Artificial Intelligence

Proceedings of the ... International Joint Conference on Artificial Intelligence PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 568

Book Description


IJCAI Proceedings 1979

IJCAI Proceedings 1979 PDF Author: Ijcai
Publisher: Elsevier
ISBN: 9780934613477
Category : Computers
Languages : en
Pages : 1196

Book Description


Proceedings of the Sixth International Joint Conference on Artificial Intelligence, Tokyo, August 20-23, 1979

Proceedings of the Sixth International Joint Conference on Artificial Intelligence, Tokyo, August 20-23, 1979 PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 566

Book Description


Readings in Artificial Intelligence

Readings in Artificial Intelligence PDF Author: Bonnie Lynn Webber
Publisher: Morgan Kaufmann
ISBN: 1483214400
Category : Computers
Languages : en
Pages : 558

Book Description
Readings in Artificial Intelligence focuses on the principles, methodologies, advancements, and approaches involved in artificial intelligence. The selection first elaborates on representations of problems of reasoning about actions, a problem similarity approach to devising heuristics, and optimal search strategies for speech understanding control. Discussions focus on comparison with existing speech understanding systems, empirical comparisons of the different strategies, analysis of distance function approximation, problem similarity, problems of reasoning about action, search for solution in the reduction system, and relationship between the initial search space and the higher level search space. The book then examines consistency in networks of relations, non-resolution theorem proving, using rewriting rules for connection graphs to prove theorems, and closed world data bases. The manuscript tackles a truth maintenance system, elements of a plan-based theory of speech acts, and reasoning about knowledge and action. Topics include problems in reasoning about knowledge, integration knowledge and action, models of plans, compositional adequacy, truth maintenance mechanisms, dialectical arguments, and assumptions and the problem of control. The selection is a valuable reference for researchers wanting to explore the field of artificial intelligence.

Encyclopedia of Microcomputers

Encyclopedia of Microcomputers PDF Author: Allen Kent
Publisher: CRC Press
ISBN: 9780824727130
Category : Computers
Languages : en
Pages : 430

Book Description
"The Encyclopedia of Microcomputers serves as the ideal companion reference to the popular Encyclopedia of Computer Science and Technology. Now in its 10th year of publication, this timely reference work details the broad spectrum of microcomputer technology, including microcomputer history; explains and illustrates the use of microcomputers throughout academe, business, government, and society in general; and assesses the future impact of this rapidly changing technology."

Machine Learning

Machine Learning PDF Author: Ryszard S. Michalski
Publisher: Elsevier
ISBN: 008051054X
Category : Computers
Languages : en
Pages : 585

Book Description
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.

Machine Learning

Machine Learning PDF Author: R.S. Michalski
Publisher: Springer Science & Business Media
ISBN: 366212405X
Category : Computers
Languages : en
Pages : 564

Book Description
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.

integrating Marker Passing and Problem Solving

integrating Marker Passing and Problem Solving PDF Author: James A. Hendler
Publisher: Psychology Press
ISBN: 131776661X
Category : Psychology
Languages : en
Pages : 318

Book Description
A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel, non-deductive, spreading activation algorithm -- is a powerful approach to refining the choice mechanisms in an AI problem-solving system. The author scrutinizes the design of both the algorithm and the system, and then reviews the current literature and research in planning and marker passing. Also included: a comparison of this computer model with some standard cognitive models, and a comparison of this model to the "connectionist" approach.

Machines Who Think

Machines Who Think PDF Author: Pamela McCorduck
Publisher: CRC Press
ISBN: 1040083102
Category : Computers
Languages : en
Pages : 313

Book Description
This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.

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

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.