Artificial Intelligence		Instructor resources
	5th Edition
	George Luger		Visit the Instructor Resource Centre
	ISBN 0321263189
	Learn more about this title.

	To download the resources for this title, right-click on the file names below and save them to your hard disk. For further support, refer to the links in the left-hand menu.

Sample code from the text

	Format: HTML .htm

	PROLOG
	Abstract Data Types	15.2
	Farmer-Wolf-Goat-Cabbage Simulation	15.3
	Depth-First Search	15.4.1
	Breadth-First Search	15.4.2
	Best-First Search	15.4.3
	PROLOG Planner	15.5
	ExShell (Rule-Based Expert Shell System)	15.7.2
	Simple ExShell
	Full ExShell
	Automotive Diagnostic System in ExShell
	Version Space Search	15.8.1
	General To Specific
	General To Specific Sample Run
	Specific To General
	Specific To General Sample Run
	Candidate Elimination	15.8.2
	Candidate Elimination Sample Run
	Explanation-Based Learning	15.8.3
	Prolog EBG
	Prolog EBG Goals
	Cups Example #1
	Cups Example #2
	Suicide Example
	Sample Run
	LISP
	Depth-First Search	16.4.1
	Breadth-First Search #1	16.4.1
	Breadth-First Search #2	16.4.1
	Best-First Search	16.4.2
	Farmer-Wolf-Goat-Cabbage Solution	16.2
	Farmer-Wolf-Goat-Cabbage Rules Only	16.2
	Logic Shell	16.8
	Logic Shell
	Assertions
	Stream functions	16.8
	Trees Logic Base
	Unification
	Newton's Method	16.14, Ex.1
	Semantic Network	16.11
	Unification	16.6
	Thermostat Simulation (CLOS)	16.12.4
	Expert System Shell	16.10
	Expert System Shell
	Stream Functions
	Trees Logic Base
	Unification
	ID3 Supervised Learning Algorithm	16.13
	ID3 Algorithm
	Credit Assessment Example