文档介绍：© 2000 by CRC Press LLC
Table of Contents
Preface
Part I
Chapter 1Decision Support putational Intelligence
Overview
The Need for Decision Support Agents
Decision Support Mechanisms
Intelligence for Decision Support
A Remark on Terminology
Data, Information and Knowledge
Issues to be Discussed in this Book
Summary
Self-examination Questions
References
Chapter 2Search and Representation
Overview
Sample Problems and Applications putational Intelligence
Some Simple Examples
Applications
Definition putational Intelligence
Historical Development putational Intelligence
Intelligence as Agent-Based
Problem Solving
Measuring the Intelligence: Turing Test
Basic Assumptions putational Intelligence
Symbolism
Sequential or Parallel
Logic-based Approach
Human Intelligence as Metaphor
Summary
Basic Storage and Search Structures
Abstract Data Types and Data Structures
Linear Structures: Lists, Stacks, Queues and
Priority Queues
Trees
Index Structures for Data Access
Discrimination Trees for Information Retrieval
Graphs
Remarks on Search Operation
Problem Solving Using Search
Meanings of Search
© 2000 by CRC Press LLC
State Space Search
Remarks on Scaling Up
Representing Knowledge for Search
Levels of Abstraction putational Intelligence
Problem Solving
Using Abstract Levels
Programming Languages putational
Intelligence
State Space Search
Uninformed Search (Blind Search)
Heuristic Search
Remark on Constraint-Based Search
Planning And Machine Learning as Search
Planning as Search
Symbol-Based Machine Learning as Search
Summary
Self-examination Questions
References
Chapter 3Predicate Logic
Overvie
First Order Predicate Logic
3.