Title | ||
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Comparing the performance of the evolvable πGrammatical Evolution genotype-phenotype map to Grammatical Evolution in the dynamic Ms. Pac-Man environment |
Abstract | ||
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In this work, we examine the capabilities of two forms of mappings by means of Grammatical Evolution (GE) to successfully generate controllers by combining high-level functions in a dynamic environment. In this work we adopted the Ms. Pac-Man game as a benchmark test bed. We show that the standard GE mapping and Position Independent GE (πGE) mapping achieve similar performance in terms of maximising the score. We also show that the controllers produced by both approaches have an overall better performance in terms of maximising the score compared to a hand-coded agent. There are, however, significant differences in the controllers produced by these two approaches: standard GE produces more controllers with invalid code, whereas the opposite is seen with πGE. |
Year | DOI | Venue |
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2010 | 10.1109/CEC.2010.5586508 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
computer games,genetic algorithms,grammars,ms. pac-man game,dynamic ms. pac-man environment,evolvable πgrammatical evolution genotype-phenotype map,grammatical evolution,genomics,bioinformatics,genetic programming,grammar,benchmark testing,test bed,production,games | Rule-based machine translation,Computer science,Genetic programming,Artificial intelligence,Grammatical evolution,Machine learning,Genetic algorithm,Benchmark (computing) | Conference |
ISBN | Citations | PageRank |
978-1-4244-6909-3 | 4 | 0.46 |
References | Authors | |
5 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edgar Galván-Lopéz | 1 | 12 | 1.70 |
David Fagan | 2 | 49 | 9.20 |
Eoin Murphy | 3 | 40 | 5.01 |
John Mark Swafford | 4 | 49 | 4.97 |
Alexandros Agapitos | 5 | 211 | 22.88 |
michael o neill | 6 | 599 | 60.93 |
Anthony Brabazon | 7 | 918 | 98.60 |