Galvan, Edgar and Swafford, John Mark and O'Neill, Michael and Brabazon, Anthony (2010) Evolving a Ms. PacMan Controller Using Grammatical Evolution. Applications of Evolutionary Computation, 6024. pp. 161-170.

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Abstract

In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. Pac-Man. In particular we focus our attention on the benefits of using Grammatical Evolution to combine rules in the form of “if <condition> then perform <action>”. We defined a set of high-level functions that we think are necessary to successfully maneuver Ms. Pac-Man through a maze while trying to get the highest possible score. For comparison purposes, we used four Ms. Pac-Man agents, including a hand-coded agent, and tested them against three different ghosts teams. Our approach shows that the evolved controller achieved the highest score among all the other tested controllers, regardless of the ghost team used.

Item Type:	Article
Keywords:	evolving; Ms. PacMan; controller; Grammatical Evolution;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15391
Identification Number:	https://doi.org/10.1007/978-3-642-12239-2_17
Depositing User:	Edgar Galvan
Date Deposited:	01 Feb 2022 15:31
Journal or Publication Title:	Applications of Evolutionary Computation
Publisher:	Springer
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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