Please use this identifier to cite or link to this item: https://doi.org/10.1109/ESDIS.2009.4939000
Title: Neural network versus behavior based approach in simulated car racing game
Authors: Tang, H.
Tan, C.H.
Tan, K.C. 
Tay, A. 
Issue Date: 2009
Source: Tang, H.,Tan, C.H.,Tan, K.C.,Tay, A. (2009). Neural network versus behavior based approach in simulated car racing game. 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings : 58-65. ScholarBank@NUS Repository. https://doi.org/10.1109/ESDIS.2009.4939000
Abstract: This paper presents examines the design of controllers that is computationally efficient yet demonstrates highly competitive performance for a real time simulated car racing game. Algorithms that require large amount of computational resources are impractical for fast paced and real time games (i.e. racing games, sports simulators, first person shooters and real time strategy games). This paper examines the design of two computationally efficient approaches, neural networks and behaviour based intelligence, in the context of a real time car racing game. Both approaches are optimized using evolutionary strategies. The behaviour based approach was found to obtain a higher fitness value yet being more computationally efficient. The design approaches can also be applied to real-time face animation which involves dataintensive computations.
Source Title: 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/71118
ISBN: 9781424427543
DOI: 10.1109/ESDIS.2009.4939000
Appears in Collections:Staff Publications

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