A Boolean network whose inputs are all of endogenous origin.
Such networks are used by St. KAUFFMAN for the study of biological systems (1991), but have obviouly a potentially wider field of applications, as for example in languages and in natural or artificial social systems.
The concept also seems to be related to autopoiesis, organizational closure and autocatalytic hypercycles. In KAUFFMAN's words: "A critical feature of random Boolean networks is that they have a finite number of states. A system must therefore eventually reenter a state that it has previously encountered … It will consequently cycle repeatedly through the same states" (p.66)
For a full development of the NK model, see reference.
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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