Heuristic Programming In Artificial Intelligence 3

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Heuristic Programming In Artificial Intelligence 3

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Author : Victor Allis
language : en
Publisher: Prentice Hall
Release Date : 1992

Heuristic Programming In Artificial Intelligence 3 written by Victor Allis and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.

Artificial Intelligence And Heuristic Programming

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Author : N. Findler
language : en
Publisher:
Release Date : 1971

Artificial Intelligence And Heuristic Programming written by N. Findler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.

Artificial Intelligence And Heuristic Programming

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Author : N. V. Findler
language : en
Publisher:
Release Date : 1971

Artificial Intelligence And Heuristic Programming written by N. V. Findler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Artificial intelligence categories.

Artificial Intelligence And Heuristic Programming

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Author : N. V. Findler
language : en
Publisher: Edinburgh University Press
Release Date : 1971-01-01

Artificial Intelligence And Heuristic Programming written by N. V. Findler and has been published by Edinburgh University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-01-01 with Artificial intelligence categories.

Prolog Programming For Artificial Intelligence 3 E

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Author : Bratko
language : en
Publisher: Pearson Education India
Release Date : 2001-09

Prolog Programming For Artificial Intelligence 3 E written by Bratko and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-09 with categories.

A Guided Tour Of Artificial Intelligence Research

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Author : Pierre Marquis
language : en
Publisher: Springer Nature
Release Date : 2020-05-08

A Guided Tour Of Artificial Intelligence Research written by Pierre Marquis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Computers categories.

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This second volume presents the main families of algorithms developed or used in AI to learn, to infer, to decide. Generic approaches to problem solving are presented: ordered heuristic search, as well as metaheuristics are considered. Algorithms for processing logic-based representations of various types (first-order formulae, propositional formulae, logic programs, etc.) and graphical models of various types (standard constraint networks, valued ones, Bayes nets, Markov random fields, etc.) are presented. The volume also focuses on algorithms which have been developed to simulate specific ‘intelligent” processes such as planning, playing, learning, and extracting knowledge from data. Finally, an afterword draws a parallel between algorithmic problems in operation research and in AI.

Heuristics

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Author : Judea Pearl
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1984

Heuristics written by Judea Pearl and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computers categories.

Problem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index.

Artificial Intelligence The Heuristic Programming Approach

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Author : James R. Slagle
language : en
Publisher:
Release Date : 1971

Artificial Intelligence The Heuristic Programming Approach written by James R. Slagle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Computers categories.

"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

Machine Learning

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Author : R.S. Michalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Machine Learning written by R.S. Michalski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.

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.

Heuristic

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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-28

Heuristic written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Computers categories.

What Is Heuristic In the fields of mathematical optimization and computer science, a heuristic is a strategy that is designed to solve a problem more rapidly in situations where traditional approaches are either too slow for finding an approximation answer or fail to find any accurate solution. In order to accomplish this, we must sacrifice optimality, completeness, accuracy, or precision in exchange for speed. It is possible to look at it as a short cut in some respects. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Heuristics in Computer Science Chapter 2: Greedy Algorithm Chapter 3: Divide and Conquer Algorithm Chapter 4: Dynamic Programming Chapter 5: Branch and Bound Chapter 6: Backtracking Chapter 7: A* Search Algorithm Chapter 8: Simulated Annealing Chapter 9: Genetic Algorithm Chapter 10: Swarm Intelligence (II) Answering the public top questions about heuristic. (III) Real world examples for the usage of heuristic in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of heuristic' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of heuristic.