Associate Professor Tsung-Che Chiang |
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Ching-Ying Cheng, Ya-Hung Chen, and Tsung-Che Chiang, Intelligent level generation for Super Mario using interactive evolutionary computation, The 27th Annual Conference of the Japanese Society for Artificial Intelligence, Toyama, Japan, June, 2013. Full text: Official version Abstract The computer game industry is growing rapidly with the yearly revenue raising up to tens of billion dollars. The market is huge but meanwhile very competitive. A computer game with static and deterministic design will be discarded after a short playing duration. Thus, we need a game that can keep creating interesting and challenging contents by adapting to customers¡¦ preferences. In this research we aim to design an intelligent level generator for the famous Super Mario game. The generator collects the player¡¦s data in a base game level and identifies his/her skill and featured tendencies such as jumping and coin-collecting. Then, it generates a customized game level by fitting to these tendencies. The level generator is directly evaluated by human players, and the parameters of the level generator are optimized through interactive evolutionary computation. A simple regression model is built and applied to make the evolutionary process more efficient. Related website |
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