Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

1 Introduction to Lisp
2 A Simple Lisp Program
3 Overview of Lisp
4 GPS: The General problem Solver
5 Eliza: Dialog with a Machine
6 Building Software Tools
7 Student: Solving Algebra Word Problems
8 Symbolic Mathematics: A Simplification Program
9 Efficiency Issues
10 Low-Level Efficiency Issues
11 Logic Programming
12 Compiling Logic programs
13 Object-Oriented Programming
14 Knowledge Representation and Reasoning
15 Symbolic Mathematics with Canonical Forms
16 Expert Systems
17 Line-Diagram Labeling by Constraint Satisfaction
18 Search and the Game of Othello
19 Introduction to Natural Language
20 Unification Grammars
21 A Grammar of English
22 Scheme: An Uncommon Lisp
23 Compiling Lisp
24 ANSI Common Lisp
25 Troubleshooting