Chapter 1 The History of AI

What is Intelligence?

The Search for Mechanical Intelligence

The Very Early Days (the early 1950s)

Artificial Intelligence Emerges as a Field

AI's Winter

AI Re-emerges

AI Inter-Disciplinary R&D

Systems Approach

Overview of this Book

Chapter Summary

References

Resources

Exercises

Chapter 2 Uninformed Search

Search and AI

Classes of Search

General State Space Search

Trees, Graphs, and Representation

Uninformed Search

Improvements

Algorithm Advantages

Chapter Summary

Algorithms Summary

References

Exercises

Chapter 3 Informed Search

Informed Search

Best-First Search (Best-FS)

A* Search

Hill-Climbing Search

Simulated Annealing (SA)

Tabu Search

Constraint Satisfaction Problems (CSP)

Constraint Satisfaction Algorithms

Chapter Summary

Algorithms Summary

References

Resources

Exercises

Chapter 4 AI and Games

Two-Player Games

The Minimax Algorithm

Classical Game AI

Video Game AI

Chapter Summary

References

Resources

Exercises

Chapter 5 Knowledge Representation

Introduction

Types of Knowledge

The Role of Knowledge

Semantic Networks

Frames

Propositional Logic

First-Order Logic (Predicate Logic)

Semantic Web

Computational Knowledge Discovery

Ontology

Communication of Knowledge

Chapter Summary

References

Resources

Exercises

Chapter 6 Machine Learning

Machine-Learning Algorithms

Chapter Summary

Resources

Exercises

Chapter 7 Evolutionary Computation

Short History of Evolutionary Computation

Biological Motivation

……

Chapter 8Neural Networks I

Chapter 9 Neural Networks II

Chapter 10 Robotics and AI

Chapter 11 Intelligent Agents

Chapter 12 Biologically Inspired and Hybrid Models

Chapter 13 The Languages of AI