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

fYear

2012

fDate

11-14 Sept. 2012

Firstpage

273

Lastpage

280

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CIG.2012.6374166

Filename

6374166