EnHiC: An enforced hill climbing based system for general game playing

Abstract

Accurate decision making in games has always been a very complex and yet interesting problem in Artificial Intelligence (AI). General video game playing (GVGP) is a new branch of AI whose target is to design agents that are able to win in every unknown game environment by choosing wise decisions. This paper proposes a new search methodology based on… (More)
DOI: 10.1109/CIG.2015.7317907

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Cite this paper

@article{Babadi2015EnHiCAE, title={EnHiC: An enforced hill climbing based system for general game playing}, author={Amin Babadi and Behnaz Omoomi and Graham Kendall}, journal={2015 IEEE Conference on Computational Intelligence and Games (CIG)}, year={2015}, pages={193-199} }