Evolution with material symbol systems.
Pattee's semantic closure principle is used to study the characteristics and requirements of evolving material symbols systems. By contrasting agents that reproduce via genetic variation with agents that reproduce via self-inspection, we reach the conclusion that symbols are necessary to attain open-ended evolution, but only if the phenotypes of agents are the result of a material, self-organization process. This way, a study of the inter-dependencies of symbol and matter is presented. This study is based first on a theoretical treatment of symbolic representations, and secondly on simulations of simple agents with matter-symbol inter-dependencies. The agent-based simulations use evolutionary algorithms with indirectly encoded phenotypes. The indirect encoding is based on Fuzzy Development programs, which are procedures for combining fuzzy sets in such a way as to model self-organizing development processes.
Rocha
L M
LM
Modeling, Algorithms, and Informatics Group (CCS-3) Los Alamos National Laboratory, MS B256, Los Alamos, NM 87545, USA. rocha@lanl.gov
D000465:Algorithms; D005075:Biological Evolution; D001703:Biophysics / Q000266:history; D017143:Fuzzy Logic; D014644:Genetic Variation; D005838:Genotype; D049673:History, 20th Century; D008957:Models, Genetic; D000069497:Origin of Life; D010641:Phenotype; D012098:Reproduction; D012641:Selection, Genetic