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Introduction To Artificial Intelligence 2ND Edition

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Introduction To Artificial Intelligence 2ND Edition Cover

 

Synopses & Reviews

Publisher Comments:

Can computers think? Can they use reason to develop their own concepts, solve complex problems, play games, understand our languages? This comprehensive survey of artificial intelligence ― the study of how computers can be made to act intelligently ― explores these and other fascinating questions. Introduction to Artificial Intelligence presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades. You'll find lucid, easy-to-read coverage of problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis and specific artificial-intelligence accomplishments. Related subjects are also included: predicate-calculus theorem proving, machine architecture, psychological simulation, automatic programming, novel software techniques, industrial automation and much more.

A supplementary section updates the original book with major research from the decade 1974-1984. Abundant illustrations, diagrams and photographs enhance the text, and challenging practice exercises at the end of each chapter test the student's grasp of each subject.The combination of introductory and advanced material makes Introduction to Artificial Intelligence ideal for both the layman and the student of mathematics and computer science. For anyone interested in the nature of thought, it will inspire visions of what computer technology might produce tomorrow.

Synopsis:

Comprehensive survey of artificial intelligence — the study of how computers can be made to act intelligently. Includes introductory and advanced material. Extensive notes updating the main text. 132 illustrations.

Synopsis:

This comprehensive, easy-to-read survey of how machines (computers) can be made to act intelligently explores problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic scene analysis, specific artificial intelligence accomplishments and other related topics. With 132 illustrations.

Table of Contents

Preface

Developments

1. INTRODUCTION

  Introduction

  Turing's Test

  Natural Intelligence

    Evidence from History

    Evidence from Introspection

    Evidence from the Social Sciences

    Evidence from the Biological Sciences

      State of Knowledge

      The Neuron and the Synapse

      Biological Memory

      Neural Data Processing

    Computers and Simulation

2. "MATHEMATICS, PHENOMENA, MACHINES"

  Introduction

  On Mathematical Description

  The Mathematical Description of Phenomena

    Time

    Types of Phenomena

      Discrete Phenomena

    Finite-State Machines

      Turing Machines

      Simple Turing Machines

    Polycephalic Turing Machines

    Universal Turing Machines

  Limits to Computational Ability

  Summary

3. PROBLEM SOLVING

  Introduction

  Paradigms

    General Approaches

    Environments

    Aptitudes

    Evolutionary and Reasoning Programs

  "Paradigms for the Concept of "Problem"

    Situation-Space

    System Inference

  "Problem Solvers, Reasoning Programs, and Languages"

  General Problem Solver

  Reasoning Programs

  State-Space (Situation-Space) Problems

    Representation

      Puzzles

    Problem Reduction and Graphs

    Summary

  Heuristic Search Theory

    Need for Search

    Search Procedures

    Search Trees

  "Planning, Reasoning by Analogy, and Learning"

    Planning

    Reasoning by Analogy

    Learning

  "Models, Problem Representations, and Levels of Competence"

    Models

    The Problem of Problem Representation

    Levels of Competence

4 GAME PLAYING

  Introduction

  Games and Their State Spaces

    Strategy

    State Spaces

  Game Trees and Heuristic Search

    Game Trees and Minimax Analysis

    Static Evaluations and Backed-up Evaluations

    The Alpha-Beta Technique

    Generating (Searching) Game Trees

  Checkers

    Checker Player

    Learning

    Learning Situations for Generalization

    Book Learning

      Results

  Chess and GO

    Chess

  The Game of GO

  Poker and Machine Development of Heuristics

  Bridge

  General Game-Playing Programs

5. PATTERN PERCEPTION

  Introduction

  Some Basic Definitions and Examples

  Eye Systems for Computers

  Scene Analysis

    Picture Enhancement and Line Detection

    Perception of Regions

    Perception of Objects

  Learning to Recognize Structures of Simple Objects

  Some Problems for Pattern Perception Systems

6. THEOREM PROVING

  Introduction

  First-Order Predicate Calculus

  Theorem-Proving Techniques

    Resolution

      Groundwork

      Clause-Form Equivalents

      The Unification Procedure

      The Binary Resolution Procedure

      Summary

    Heuristic Search Strategies

      Extensions

      Simplification Strategies

      Refinement Strategies

      Ordering Strategies

    Reasoning by Analogy

  Solving Problems with Theorem Provers

    State-Space

    Predicate-Calculus Descriptions of State-Space Problems

    "Path Finding, Example Generation, Constructive Proofs, Answer Extraction"

    Applications to Real-World Problems

  Theorem Proving in Planning and Automatic Programming

    Planning

    Planner

    Automatic Programming

7. SEMANTIC INFORMATION

  Introduction

  Natural and Artificial Languages

    Definitions

    Natural Languages

    Artificial Languages and Programming Languages

    String Languages

    "Grammars, Machines, and Extensibility"

  "Programs that "Understand" Natural Language"

    Five Problems

    Syntax

    Recursive Approaches to Syntax

    Semantics and Inference

    Generation and Integration

    Some Conversations with Computers

  Language and Perception

    Networks of Question-Answering Programs

    Pattern Recognition and Grammatical Inference

    "Communications, Teaching, and Learning"

8. PARALLEL PROCESSING AND EVOLUTIONARY SYSTEMS

  Introduction

  Motivations

  Cellular Automata

  Abelian Machine Spaces

  Questions of Generality and Equivalence

  Self-affecting Systems: Self-reproduction

  "Hierarchical, Self-organizing, and Evolutionary Systems"

    Conditions

    Hierarchical Systems

    Self-organizing Systems

    Evolutionary Systems

  Summary

9. THE HARVEST OF ARTIFICIAL INTELLIGENCE

  Introduction

  Robots

  A Look at Possibilities

    Tools and People

    Over Mechanization of the World: The Machine as Dictator

    The Well-natured Machine

Bibliography

Index

Product Details

ISBN:
9780486248646
Author:
Jackson, Philip C.
Publisher:
Dover Publications
Author:
Jackson, Philip C.
Location:
New York :
Subject:
General
Subject:
General science
Subject:
Computers and computer technology
Subject:
Questions & Answers
Subject:
Artificial Intelligence
Subject:
Artificial Intelligence - General
Subject:
General Science
Subject:
Intelligence (AI) & Semantics
Subject:
REFERENCE / Trivia
Subject:
Applied Sciences
Edition Number:
2
Edition Description:
Second Edition, Enlarged
Series:
Dover Books on Mathematics
Series Volume:
series 1
Publication Date:
19850631
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
512
Dimensions:
8.5 x 5.38 in 1.17 lb

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Reference » Trivia
Science and Mathematics » Mathematics » Calculus » General

Introduction To Artificial Intelligence 2ND Edition New Trade Paper
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Product details 512 pages Dover Publications - English 9780486248646 Reviews:
"Synopsis" by ,
Comprehensive survey of artificial intelligence — the study of how computers can be made to act intelligently. Includes introductory and advanced material. Extensive notes updating the main text. 132 illustrations.

"Synopsis" by ,
This comprehensive, easy-to-read survey of how machines (computers) can be made to act intelligently explores problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic scene analysis, specific artificial intelligence accomplishments and other related topics. With 132 illustrations.
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