Evolution with material symbol systems |
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Authors: | Rocha L M |
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Institution: | Modeling, Algorithms, and Informatics Group (CCS-3) Los Alamos National Laboratory, MS B256, Los Alamos, NM 87545, USA |
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Abstract: | 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. |
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Keywords: | Howard Pattee Evolutionary systems Evolutionary algorithms Artificial life Biosemiotics Genetic algorithms Fuzzy set theory Agent-based simulation Representation |
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