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Steve Rabin's Game AI Pro 360: Guide to Character Behavior gathers all the cutting-edge information from his previous three Game AI Pro volumes into a convenient single source anthology that covers character behavior in game AI. This volume is complete with articles by leading game AI programmers that focus on individual AI behavior such as character interactions, modelling knowledge, efficient simulation, difficulty balancing, and making decisions with case studies from both commercial and indie games.
Key Features
- Provides real-life case studies of game AI in published commercial games
- Material by top developers and researchers in Game AI
- Downloadable demos and/or source code available online
List of contents
About the Editor
About the Contributors
Introduction
1 Infected AI in The Last of Us
Mark Botta
2 Human Enemy AI in The Last of Us
Travis McIntosh
3 Ellie: Buddy AI in The Last of Us
Max Dyckhoff
4 Realizing NPCs: Animation and Behavior Control for Believable Characters
Jeet Shroff
5 Using Queues to Model a Merchant's Inventory
John Manslow
6 Psychologically Plausible Methods for Character Behavior Design
Phil Carlisle
7 Behavior Decision System: Dragon Age Inquisition's Utility Scoring Architecture
Sebastian Hanlon and Cody Watts
8 Paragon Bots: A Bag of Tricks
Mieszko Zielinski
9 Using Your Combat AI Accuracy to Balance Difficulty
Sergio Ocio Barriales
10 1000 NPCs at 60 FPS
Robert Zubek
11 Ambient Interactions: Improving Believability by Leveraging Rule-Based AI
Hendrik Skubch
12 Stochastic Grammars: Not Just for Words!
Mike Lewis
13 Simulating Character Knowledge Phenomena in Talk of the Town
James Ryan and Michael Mateas
About the author
Steve Rabin has 15 years at Nintendo of America, 4 years at various game developer start-ups, and 7 years of college teaching experience. He has been the invited keynote speaker at several academic AI conferences, founder and summit advisor for the AI Summit at GDC, GDC speaker, and founder/manager of the AI Game Programmers Guild.
