Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5/e

Description:

Much has changed since the early editions of Artificial Intelligence were published. To reflect this the introductory material of this fifth edition has been substantially revised and rewritten to capture the excitement of the latest developments in AI work.

Artificial intelligence is a diverse field. To ask the question "what is intelligence?" is to invite as many answers as there are approaches to the subject of artificial intelligence. These could be intelligent agents, logical reasoning, neural networks, expert systems, evolutionary computing and so on. This fifth edition covers all the main strategies used for creating computer systems that will behave in "intelligent" ways. It combines the broadest approach of any text in the marketplace with the practical information necessary to implement the strategies discussed, showing how to do this through Prolog or LISP programming. 

 

Table of Contents:

Part I: Artificial Intelligence: its Routes and Scope

1 AI: History and Applications

Part II: Artificial Intelligence as Representation and Search

2 The Predicate Calculus

3 Structures and Strategies for State Space Search

4 Heuristic Search

5 Stochastic Methods

6 Building Control Algorithms for State Space Search

Part III: Representation and Intelligence: The AI Challenge

7 Knowledge Representation

8 Strong Method Problem Solving

9 Reasoning in Uncertain Situations

Part IV: Machine Learning

10 Machine Learning: Symbol-Based

11 Machine Learning: Connectionist

12 Machine Learning: Social and Emergent

Part V: Advanced Topics for AI Problem Solving

13 Automated Reasoning

14 Understanding Natural Language

Part VI: Languages and Programming Techniques for Artificial Intelligence

15 An Introduction to PROLOG

16 An Introduction to LISP

Part VII: Epilogue

17 Artificial Intelligence as Empirical Enquiry

Bibliography

Author Index

Subject Index