Paper Info
Title
Semantic bias in program coevolution
Abstract
We investigate two pathological coevolutionary behaviours, disengagement and cycling, in GP systems. An empirical analysis is carried out over constructed GP problems and the Game of Tag, a historical pursuit and evasion task. The effects of semantic bias on the occurence of pathologies and consequences for performance are examined in a coevolutionary context. We present findings correlating disengagement with semantic locality of the genotype to phenotype map using a minimal competitive coevolutionary algorithm.
Year
DOI
Venue
2013
10.1007/978-3-642-37207-0_17
EuroGP
Keywords
Field
DocType
program coevolution,gp system,historical pursuit,semantic bias,minimal competitive coevolutionary algorithm,coevolutionary context,empirical analysis,pathological coevolutionary behaviour,evasion task,semantic locality,gp problem,coevolution,semantics,genetic programming
Coevolution,Locality,Computer science,Genetic programming,Artificial intelligence,Disengagement theory,Machine learning,Semantics
Conference
Citations 
PageRank 
References 
2
0.37
7
Authors
3
Name
Order
Citations
PageRank
Tom Seaton181.17
Julian F. Miller22011228.72
Tim Clarke310220.02