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CBR for Game AI

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Google Tech Talks April, 3 2008 ABSTRACT Computer games are an increasingly popular application for Artificial Intelligence (AI) research, and conversely AI is an increasingly popular selling point for commercial games. Although games are typically associated with entertainment applications, there are many "serious" applications of gaming, including military, corporate, and advertising applications. There are also what the so called "humane" gaming applications—interactive tools for medical training, educational games, and games that reflect social consciousness or advocate for a cause. Game AI is the effort of taking computer games beyond scripted interactions, however complex, into the arena of truly interactive systems that are responsive, adaptive, and intelligent. Such systems learn about the player(s) during game play, adapt their own behaviors beyond the pre-programmed set provided by the game author, and interactively develop and provide a richer experience to the player(s). In this brown bag, I will discuss a range of CBR approaches for Game AI. I will discuss differences and similarities between character-level AI (in embedded NPCs, for example) and game-level AI (in the drama manager or game director, for example). I will explain why the AI must reason at multiple levels, including reactive, tactical, strategic, rhetorical, and meta, and propose a CBR architecture that lets us design and coordinate real-time AIs operating asynchronously at all these levels. I will conclude with a brief discussion on the very idea of Game AI: is it feasible? realistic? and would we call it "intelligence" if we could implement all this stuff? Speaker: Dr. Ashwin Ram Dr. Ashwin Ram is an Associate Professor and Director of the Cognitive Computing Lab in the College of Computing at Georgia Tech, an Associate Professor of Cognitive Science, and an Adjunct Professor in Psychology at Georgia Tech and in MathCS at Emory University. He received his PhD from Yale University in 1989, his MS from University of Illinois in 1984, and his BTech from IIT Delhi in 1982. He has published 2 books and over 100 scientific articles in international forums. He is a founder of Enkia Corporation which provides AI software for information assurance and decision support.

Channel: People & Blogs
Uploaded: April 5, 2008 at 9:18 am
Author: googletechtalks

Length: 52:56
Rating: 4.53
Views: 10261

Tags: education  engedu  google  googletechtalks  talk  talks  techtalk  techtalks  

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mdkersey (July 19, 2008 at 7:42 pm)
CBR=Case-Based Reasoning.
jetrnsef (May 3, 2008 at 4:51 pm)
cool
F00dTube (April 8, 2008 at 2:59 pm)
Just a bunch of trivial stuff any programmer or gamer with a brain has contemplated on already. No trace of AI.
netrunner1 (April 6, 2008 at 5:38 am)
This is nice for back end AI, but until TTS systems become more smooth the grammar of the AI is going to sound 8bit era. The adaptive aspect is interesting. It'd take a lot of data storage to learn. Maybe a lossless compression would be of use ether in flat files or in RAM.

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