The semiotics of control and modeling relations in complex systems.
We provide a conceptual analysis of ideas and principles from the systems theory discourse which underlie Pattee's semantic or semiotic closure, which is itself foundational for a school of theoretical biology derived from systems theory and cybernetics, and is now being related to biological semiotics and explicated in the relational biological school of Rashevsky and Rosen. Atomic control systems and models are described as the canonical forms of semiotic organization, sharing measurement relations, but differing topologically in that control systems are circularly and models linearly related to their environments. Computation in control systems is introduced, motivating hierarchical decomposition, hybrid modeling and control systems, and anticipatory or model-based control. The semiotic relations in complex control systems are described in terms of relational constraints, and rules and laws are distinguished as contingent and necessary functional entailments, respectively. Finally, selection as a meta-level of constraint is introduced as the necessary condition for semantic relations in control systems and models.
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Distributed Knowledge Systems and Modeling Team, Modeling, Algorithms, and Informatics Group (CCS-3), Los Alamos National Laboratory, MS B265, Los Alamos, NM 87545, USA. joslyn@lanl.gov
D055592:Biophysical Phenomena; D001703:Biophysics; D003491:Cybernetics; D005246:Feedback; D008962:Models, Theoretical; D012641:Selection, Genetic; D013598:Systems Theory