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» Map-Adaptive Artificial Intelligence for Video Games
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AIIDE
2008
13 years 10 months ago
Learning and Playing in Wubble World
Children do not learn the meanings of words from parsing and understanding gigabytes of text; instead meanings are learned from competent speakers who relate language to what'...
Wesley Kerr, Paul R. Cohen, Yu-Han Chang
EVOW
2010
Springer
14 years 2 months ago
Evolving 3D Buildings for the Prototype Video Game Subversion
We investigate user-guided evolution for the development of virtual 3D building structures for the prototype (commercial) game Subversion, which is being developed by Introversion ...
Andrew Martin, Andrew Lim, Simon Colton, Cameron B...
CHI
2004
ACM
14 years 29 days ago
The untapped world of video games
Due to fierce industry competition and demand for novelty, games are a fertile research setting for studying interface design, input devices, graphics, social communication and de...
Kevin Keeker, Randy J. Pagulayan, Jonathan Sykes, ...
ANTSW
2010
Springer
13 years 5 months ago
A Cooperative Network Game Efficiently Solved via an Ant Colony Optimization Approach
Abstract. In this paper, a Cooperative Network Game (CNG) is introduced. In this game, all players have the same goal: display a video content in real time, with no cuts and low bu...
Pablo Romero, Franco Robledo, Pablo Rodrígu...
AIIDE
2006
13 years 9 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...