Download AI Game Programming Wisdom 4 [With CDROM] by Steve Rabin PDF

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AI Game Programming Wisdom 4 [With CDROM]

Category: Uncategorised
Author: Steve Rabin
Editor: -
Rating: 3.7 of 5 stars
Counts: 880
Original Format: Hardcover, 699 pages
Download Formats: mobi, azw, epub, fb2, ibooks, odf, pdf, lit, djvu
Publication date: -
Publication City/Country: -
Publisher: February 20th 2008 by Charles River Media
Language: English
ISBN: 1584505230
ISBN13: 9781584505235
ASIN: -
Price: -
Series: N/A
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Original Title: AI Game Programming Wisdom 4 [With CDROM]
Description:
Welcome to the latest volume of AI Game Programming Wisdom AI Game Programming Wisdom 4 includes a collection of more than 50 new articles featuring cutting-edge techniques, algorithms, and architectures written by industry professionals for use in commercial game development. Organized into 7 sections, this comprehensive volume explores every important aspect of AI progra Welcome to the latest volume of AI Game Programming Wisdom AI Game Programming Wisdom 4 includes a collection of more than 50 new articles featuring cutting-edge techniques, algorithms, and architectures written by industry professionals for use in commercial game development. Organized into 7 sections, this comprehensive volume explores every important aspect of AI programming to help you develop and expand your own personal AI toolbox. You'll find ready-to-use ideas, algorithms, and code in all key AI areas including general wisdom, scripting and dialogue, movement and pathfinding, architecture, tactics and planning, genre specific, and learning and adaptation. New to this volume are articles on recent advances in realistic agent, squad, and vehicle movement, as well as dynamically changing terrain, as exemplified in such popular games as Company of Heroes.You'll also find information on planning as a key game architecture, as well as important new advances in learning algorithms and player modeling. AI Game Programming Wisdom 4 features coverage of multiprocessor architectures, Bayesian networks, planning architectures, conversational AI, reinforcement learning, and player modeling.These valuable and innovative insights and issues offer the possibility of new game AI experiences and will undoubtedly contribute to taking the games of tomorrow to the next level.

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