Artificial intelligence illuminated / Ben Coppin.

By:

Coppin, Ben

Material type: Text

TextPublication details: Boston : Jones and Bartlett Publishers, c2004.Edition: 1st edDescription: xxv, 739 p. : illISBN:

9780763732301
0763732303

Subject(s):

DDC classification:

006.3 COP

Online resources:

Click here to access online

Contents:

Part 1. Introduction to artificial intelligence -- 1. A brief history of artificial intelligence -- 2. Uses and limitations -- 3. Knowledge representation -- Part 2. Search -- 4. Search methodologies -- 5. Advanced search -- 6. Game playing -- Part 3. Knowledge representation and automated reasoning -- 7. Propositional and predicate logic -- 8. Inference and resolution for problem solving -- 9. Rules and expert systems -- Part 4. Machine learning -- 10. Introduction to machine learning -- 11. Neural networks -- 12. Probabilistic reasoning and Bayesian belief networks -- 13. Artificial life: Learning through emergent behavior -- 14. Genetic algorithms -- Part 5. Planning -- 15. Introduction to planning -- 16. Planning methods -- Part 6. Advanced topics -- 17. Advanced knowledge representation -- 18. Fuzzy reasoning -- 19. Intelligent agents -- 20. Understanding language -- 21. Machine vision.

Summary: Intended for computer science students, this textbook explains current efforts to use algorithms, heuristics, and methodologies based on the ways in which the human brain solves problems in the fields of machine learning, multi-agent systems, computer vision, planning, and playing games. It covers

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	006.3 COP (Browse shelf(Opens below))	Available		016087

Total holds: 0

Part 1. Introduction to artificial intelligence --
1. A brief history of artificial intelligence --
2. Uses and limitations --
3. Knowledge representation --
Part 2. Search --
4. Search methodologies --
5. Advanced search --
6. Game playing --
Part 3. Knowledge representation and automated reasoning --
7. Propositional and predicate logic --
8. Inference and resolution for problem solving --
9. Rules and expert systems --
Part 4. Machine learning --
10. Introduction to machine learning --
11. Neural networks --
12. Probabilistic reasoning and Bayesian belief networks --
13. Artificial life: Learning through emergent behavior --
14. Genetic algorithms --
Part 5. Planning --
15. Introduction to planning --
16. Planning methods --
Part 6. Advanced topics --
17. Advanced knowledge representation --
18. Fuzzy reasoning --
19. Intelligent agents --
20. Understanding language --
21. Machine vision.

Intended for computer science students, this textbook explains current efforts to use algorithms, heuristics, and methodologies based on the ways in which the human brain solves problems in the fields of machine learning, multi-agent systems, computer vision, planning, and playing games. It covers

There are no comments on this title.

to post a comment.