Name
Abstract | ||
|---|---|---|
After two papers comparing ATNoSFERES with XCSM, a Learning Classifier System with internal states, this paper is devoted to a comparison between ATNoSFERES and ACS (an Anticipatory Learning Classifier System). As previously, we focus on the way perceptual aliazing problems encountered in non-Markov environments are solved with both kinds of systems. We shortly present ATNoSFERES, a framework based on an indirect encoding Genetic Algorithm which builds finite-state automata controllers, and we compare it with ACS through two benchmark experiments. The comparison shows that the difference in performance between both system depends on the environment. This raises a discussion of the adequacy of both adaptive mechanisms to particular subclasses of non-Markov problems. Furthermore, since ACS converges much faster than ATNoSFERES, we discuss the need to introduce learning capabilities in our model. As a conclusion, we advocate for the need of more experimental comparisons between different systems in the Learning Classifier System community. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/978-3-540-71231-2_11 | IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems |
Keywords | Field | DocType |
non-markov problem,learning classifier system community,different system,anticipatory learning classifier system,experimental comparison,non-markov environment,perceptual aliazing,present atnosferes,learning classifier system,evolutionary algorithms,benchmark experiment,adaptive mechanism,augmented transition networks.,evolutionary algorithm,finite state automata,genetic algorithm,augmented transition network | Evolutionary algorithm,Computer science,Automaton,Artificial intelligence,Perception,Machine learning,Genetic algorithm,Learning classifier system,Encoding (memory) | Conference |
Volume | ISSN | Citations |
4399 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel Landau | 1 | 15 | 2.53 |
| Olivier Sigaud | 2 | 539 | 53.35 |
| Sébastien Picault | 3 | 136 | 24.50 |
| Pierre Gérard | 4 | 20 | 1.71 |