Schema Redescription in Cellular Automata: Revisiting Emergence in Complex Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@InProceedings{Marques-Pita:2011:ieeeALife,

• author = "Manuel Marques-Pita and Luis M. Rocha",
• title = "Schema Redescription in Cellular Automata: Revisiting Emergence in Complex Systems",
• booktitle = "The 2011 IEEE Symposium on Artificial Life",
• year = "2011",
• editor = "Chrystopher Nehaniv and Terry Bossomaier and Hiroki Sayama",
• pages = "233--240",
• address = "Paris, France",
• month = apr # " 13-15",
• organisation = "IEEE Computational Intelligence Society",
• keywords = "genetic algorithms, genetic programming, nonlinear sciences, cellular automata and lattice Gases, Artificial Intelligence, Formal Languages and Automata, Neural and Evolutionary Computing, Quantitative Biology, Quantitative Methods",
• bibsource = "OAI-PMH server at export.arxiv.org",
• oai = "oai:arXiv.org:1102.1691",
• URL = "http://arxiv.org/abs/1102.1691",
• size = "8 pages",
• abstract = "We present a method to eliminate redundancy in the transition tables of Boolean automata: schema redescription with two symbols. One symbol is used to capture redundancy of individual input variables, and another to capture permutability in sets of input variables: fully characterising the canalisation present in Boolean functions. Two-symbol schemata explain aspects of the behaviour of automata networks that the characterization of their emergent patterns does not capture. We use our method to compare two well-known cellular automata for the density classification task: the human engineered CA GKL, and another obtained via genetic programming (GP). We show that despite having very different collective behaviour, these rules are very similar. Indeed, GKL is a special case of GP. Therefore, we demonstrate that it is more feasible to compare cellular automata via schema redescriptions of their rules, than by looking at their emergent behaviour, leading us to question the tendency in complexity research to pay much more attention to emergent patterns than to local interactions.",
• notes = "Not really on GP but does make use of GP result given by \cite{andre:1996:camc} http://coco.binghamton.edu/ieee-alife2011/",

}

Genetic Programming entries for Manuel Marques-Pita Luis M Rocha

Citations