Title :
FRIGHT: A flexible rule-based intelligent ghost team for Ms. Pac-Man
Author :
Gagne, David J. ; Congdon, Clare Bates
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern Maine, Portland, ME, USA
Abstract :
FRIGHT is a rule-based intelligent agent for playing the ghost team in the Ms. Pac-Man vs Ghosts Competition held at the 2012 IEEE Conference on Computational Intelligence and Games. FRIGHT uses rule sets with high-level abstractions of the game state and actions, and employs evolutionary computation to learn rule sets; a distributed homogenous-agent approach is used. We compare the performance of a hand-coded rule set to one learned by the system and find that the rule set learned by the system outperforms the hand-coded rules.
Keywords :
computer games; distributed processing; evolutionary computation; knowledge based systems; multi-agent systems; FRIGHT; Ms Pac-Man vs Ghosts Competition; distributed homogenous-agent approach; evolutionary computation; flexible rule-based intelligent ghost team; hand-coded rule set; high-level abstraction; rule-based intelligent agent; Conferences; Evolutionary computation; Games; Learning systems; Neural networks; Ms. Pac-Man; evolutionary computation; games; rule-based system;
Conference_Titel :
Computational Intelligence and Games (CIG), 2012 IEEE Conference on
Conference_Location :
Granada
Print_ISBN :
978-1-4673-1193-9
Electronic_ISBN :
978-1-4673-1192-2
DOI :
10.1109/CIG.2012.6374166
