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Logically Living System: A Generative “Machine” for Autopoietic Systems

Logically Living System: A Generative “Machine” for Autopoietic Systems
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Author(s): Emil Dinga (Romanian Academy, Romania)
Copyright: 2021
Pages: 25
Source title: Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success
Source Author(s)/Editor(s): Małgorzata Pańkowska (University of Economics in Katowice, Poland)
DOI: 10.4018/978-1-7998-6713-5.ch004

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Abstract

The chapter focuses on two basic objectives: a) to introduce and qualitatively examine the concept of logically living system as abstract prototype for any possible auto-poietic system and b) to analyse the co-evolution as matrix of autopoieticity of any system. To this end, based on primitive concepts as property, relationships, network, and entropy, the chapter defines an abstract “logic machine” which is named logically living system. Here, the focus of research is directed to prove that such a “logic machine” could deliver any auto-poietic system (or process, after the case) so that it is functioning as a generative grammar (as syntax) in this context. Regarding the co-evolution linked to auto-poieticity, the chapter develops discussions on some paired concepts as memes vs. semes, natural vs. institutional, or system vs. network. Finally, the chapter approaches five kinds of auto-poietic systems as generated by the “logic machine” proposed: biological, social, psychic, theory, and paradigm.

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