Welcome to the InfoSci Platform
Reference Hub3
Logically Living System: A Generative “Machine” for Autopoietic Systems

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

Emil Dinga
Copyright: © 2021 |Pages: 25
ISBN13: 9781799867135|ISBN10: 1799867137|ISBN13 Softcover: 9781799867142|EISBN13: 9781799867159
DOI: 10.4018/978-1-7998-6713-5.ch004
Cite Chapter Cite Chapter

MLA

Dinga, Emil. "Logically Living System: A Generative “Machine” for Autopoietic Systems." Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success, edited by Małgorzata Pańkowska, IGI Global, 2021, pp. 73-97. https://doi.org/10.4018/978-1-7998-6713-5.ch004

APA

Dinga, E. (2021). Logically Living System: A Generative “Machine” for Autopoietic Systems. In M. Pańkowska (Ed.), Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success (pp. 73-97). IGI Global. https://doi.org/10.4018/978-1-7998-6713-5.ch004

Chicago

Dinga, Emil. "Logically Living System: A Generative “Machine” for Autopoietic Systems." In Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success, edited by Małgorzata Pańkowska, 73-97. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6713-5.ch004

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.