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Artificial Intelligence The Heuristic Programming Approach
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Book Synopsis Artificial Intelligence: the Heuristic Programming Approach by : James R. Slagle
Download or read book Artificial Intelligence: the Heuristic Programming Approach written by James R. Slagle and published by . This book was released on 1971 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book consists of an organized description of "intelligent" machines. The book is primarily a textbook for undergraduate and graduate student s of computer science in general, and artificial intelligence in particular."--Preface
Book Synopsis A Classical Approach to Artificial Intelligence by : Munesh Chandra Trivedi
Download or read book A Classical Approach to Artificial Intelligence written by Munesh Chandra Trivedi and published by KHANNA PUBLISHING HOUSE. This book was released on 2014 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many books available in the market on the proposed topic but none of them can be termed as comprehensive. Besides, students face many problems in understanding the language of this books. Keeping these points in mind, Artificial Intelligence was prepared, which should be simple enough to comprehend and comprehensive enough to encompass all the topics of different institutions and universities.
Book Synopsis Data Mining: A Heuristic Approach by : Abbass, Hussein A.
Download or read book Data Mining: A Heuristic Approach written by Abbass, Hussein A. and published by IGI Global. This book was released on 2001-07-01 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.
Book Synopsis Artificial Intelligence by : F. H. George
Download or read book Artificial Intelligence written by F. H. George and published by Routledge. This book was released on 2018-05-15 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1986, in order to probe, dispute and analyse the role of artificial intelligence in cybernetic thought and information science, the author pursues this topic within its philosophical, behavioral and neurophysiological contexts, while drawing attention to cognitive issues. By elucidating the problems and potential associated with knowledge-based systems, the book emphasized the need to examine artificial intelligence in its own right.
Book Synopsis Artificial Intelligence by : Earl B. Hunt
Download or read book Artificial Intelligence written by Earl B. Hunt and published by Academic Press. This book was released on 2014-05-10 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence provides information pertinent to the fundamental aspects of artificial intelligence. This book presents the basic mathematical and computational approaches to problems in the artificial intelligence field. Organized into four parts encompassing 16 chapters, this book begins with an overview of the various fields of artificial intelligence. This text then attempts to connect artificial intelligence problems to some of the notions of computability and abstract computing devices. Other chapters consider the general notion of computability, with focus on the interaction between computability theory and artificial intelligence. This book discusses as well the concepts of pattern recognition, problem solving, and machine comprehension. The final chapter deals with the study of machine comprehension and reviews the fundamental mathematical and computing techniques underlying artificial intelligence research. This book is a valuable resource for seniors and graduate students in any of the computer-related sciences, or in experimental psychology. Psychologists, general systems theorists, and scientists will also find this book useful.
Book Synopsis Principles of Artificial Intelligence by : Nils J. Nilsson
Download or read book Principles of Artificial Intelligence written by Nils J. Nilsson and published by Springer Science & Business Media. This book was released on 1982-05-01 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, intelligent data retrieval systems, etc. The major difficulty with this approach is that these application areas are now so extensive, that each could, at best, be only superficially treated in a book of this length. Instead, I have attempted here to describe fundamental AI ideas that underlie many of these applications. My organization of these ideas is not, then, based on the subject matter of their application, but is, instead, based on general computational concepts involving the kinds of data structures used, the types of operations performed on these data struc tures, and the properties of con'trol strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and the predicate calculus. The notes on which the book is based evolved in courses and seminars at Stanford University and at the University of Massachusetts at Amherst. Although certain topics treated in my previous book, Problem solving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.
Book Synopsis The Handbook of Artificial Intelligence by : Avron Barr
Download or read book The Handbook of Artificial Intelligence written by Avron Barr and published by Butterworth-Heinemann. This book was released on 2014-05-12 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence.
Book Synopsis A New Guide to Artificial Intelligence by : Derek Partridge
Download or read book A New Guide to Artificial Intelligence written by Derek Partridge and published by Intellect Books. This book was released on 1991 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook includes both theories and programs, and covers all recognized AI work in sufficient detail to allow a critique from general concerns to be anchored, whenever possible, in the structure of specific AI programs. -- Amazon.com.
Book Synopsis The Handbook of Artificial Intelligence by : Paul R. Cohen
Download or read book The Handbook of Artificial Intelligence written by Paul R. Cohen and published by Butterworth-Heinemann. This book was released on 2014-06-05 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence
Book Synopsis Routledge Library Editions: Artificial Intelligence by : Various
Download or read book Routledge Library Editions: Artificial Intelligence written by Various and published by Routledge. This book was released on 2021-06-23 with total page 2732 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial Intelligence" (AI) a term coined in the 1950s actually dates back as far as 1943. Now very much in the public consciousness, AI research has fallen in and out of favour over the years. Routledge Library Editions: Artificial Intelligence (10 Volumes) brings together as one set, or individual volumes, a small interdisciplinary series of previously out-of-print titles, originally published between 1970 and 1994. Covering ground in computer science, literature, philosophy, psychology, psychotherapy and sociology, this set is a fascinating insight into the development of ideas surrounding AI.
Book Synopsis Methods of Heuristics by : R. Groner
Download or read book Methods of Heuristics written by R. Groner and published by Routledge. This book was released on 2014-07-10 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the edited proceedings of an interdisciplinary symposium on Methods of Heuristics, which was held at the University of Bern, Switzerland, from September 15 to 19, 1980. In organizing the symposium, the editors of the present volume were able to invite specialists from psychology, computer science, and mathematics. From their own perspective they made contributions to the central questions of the conference: What are heuristics, the methods and rules guiding discovery and problem solving in a variety of different fields? How did they develop in individual human beings and in the history of science? Is it possible to arrive at a commonly accepted definition of heuristics as the field unifying all these efforts, and, if yes, what are its basic characteristics?
Book Synopsis Artificial Intelligence by : Ronald Chrisley
Download or read book Artificial Intelligence written by Ronald Chrisley and published by Taylor & Francis. This book was released on 2000 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Philosophy of Artificial Intelligence by : Rajakishore Nath
Download or read book Philosophy of Artificial Intelligence written by Rajakishore Nath and published by Universal-Publishers. This book was released on 2009 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the major philosophical issues in the theoretical framework of Artificial Intelligence (AI) in particular and cognitive science in general. The researchers in AI are concerned with the issues of consciousness, human subjectivity, creativity, etc. Cognitive Science and AI argue that consciousness can be artificially created and comprehended in the function of robots. The robotic activities explain the mechanism involved in computation, language processing, sensing the information, etc. Contrary to this thesis, the philosophical study tries to show that human consciousness, thinking, imagination, etc. are much larger concepts and need to be delved into in the broad theoretical framework. This book is a critique of the mechanistic theory of mind. It shows the basic foundation of AI and its limitations in explaining the activities of the human mental life. Machine-functionalism fails to account for the subjective nature of consciousness and the creativity involved in the conscious acts. There are two aspects of this thesis-- the epistemological and the metaphysical. Epistemologically, the subject of consciousness intimately knows the raw feelings or the qualia. Metaphysically speaking, however, the raw feelings are real in the sense that they are part of the furniture of the mental world. Therefore, we can hardly deny that the mental world is real.
Book Synopsis The Quest for Artificial Intelligence by : Nils J. Nilsson
Download or read book The Quest for Artificial Intelligence written by Nils J. Nilsson and published by Cambridge University Press. This book was released on 2009-10-30 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
Book Synopsis Artificial Intelligence in Basic by : Mike James
Download or read book Artificial Intelligence in Basic written by Mike James and published by Newnes. This book was released on 2013-09-03 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in BASIC presents some of the central ideas and practical applications of artificial intelligence (AI) using the BASIC programs. This eight-chapter book aims to explain these ideas of AI that can be used to produce programs on microcomputers. After providing an overview of the concept of AI, this book goes on examining the features and difficulties of a heuristic solution in a wide range of human problems. The discussion then shifts to the application of a heuristic solution to a two-ply search program for a two-person game. The following chapters are devoted to the other components of AI, including the expert systems, memory structure, pattern recognition, and language. The concluding chapter deals with the alternative and auxiliary approaches to the study of AI and its practical applications. Computer scientists and programmers will find this work invaluable.
Book Synopsis The Second Age of Computer Science by : Subrata Dasgupta
Download or read book The Second Age of Computer Science written by Subrata Dasgupta and published by Oxford University Press. This book was released on 2018-05-01 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the end of the 1960s, a new discipline named computer science had come into being. A new scientific paradigm--the 'computational paradigm'--was in place, suggesting that computer science had reached a certain level of maturity. Yet as a science it was still precociously young. New forces, some technological, some socio-economic, some cognitive impinged upon it, the outcome of which was that new kinds of computational problems arose over the next two decades. Indeed, by the beginning of the 1990's the structure of the computational paradigm looked markedly different in many important respects from how it was at the end of the 1960s. Author Subrata Dasgupta named the two decades from 1970 to 1990 as the second age of computer science to distinguish it from the preceding genesis of the science and the age of the Internet/World Wide Web that followed. This book describes the evolution of computer science in this second age in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades. Certain themes characteristic of this second age thread through this narrative: the desire for a genuine science of computing; the realization that computing is as much a human experience as it is a technological one; the search for a unified theory of intelligence spanning machines and mind; the desire to liberate the computational mind from the shackles of sequentiality; and, most ambitiously, a quest to subvert the very core of the computational paradigm itself. We see how the computer scientists of the second age address these desires and challenges, in what manner they succeed or fail and how, along the way, the shape of computational paradigm was altered. And to complete this history, the author asks and seeks to answer the question of how computer science shows evidence of progress over the course of its second age.
Book Synopsis Probabilistic and Causal Inference by : Hector Geffner
Download or read book Probabilistic and Causal Inference written by Hector Geffner and published by Morgan & Claypool. This book was released on 2022-03-10 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Judea Pearl won the 2011 Turing Award “for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.” This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988–2001), and causality, recent period (2002–2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl’s work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him.
