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Entropy 2003, 5(2), 161-192; doi:10.3390/e5020161

Information Processing in Auto-regulated Systems

Landhausgasse 4/23, A-1010 Wien, Austria
Received: 10 January 2003 / Accepted: 22 February 2003 / Published: 30 June 2003
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Abstract

We present a model of information processing which is based on two concurrent ways of describing the world, where a description in one of the languages limits the possibilities for realisations in the other language. The two describing dimensions appear in our common sense as dichotomies of perspectives: subjective - objective; diversity - similarity; individual - collective. We abstract from the subjective connotations and treat the test theoretical case of an interval on which several concurrent categories can be introduced. We investigate multidimensional partitions as potential carriers of information and compare their efficiency to that of sequenced carriers. We regard the same assembly once as a contemporary collection, once as a longitudinal sequence and find promising inroads towards understanding information processing by auto-regulated systems. Information is understood to point out that what is the case from among alternatives, which could be the case. We have translated these ideas into logical operations on the set of natural numbers and have found two equivalence points on N where matches between sequential and commutative ways of presenting a state of the world can agree in a stable fashion: a flip-flop mechanism is envisioned. By following this new approach, a mathematical treatment of some poignant biomathematical problems is allowed. Also, the concepts presented in this treatise may well have relevance and applications within the information processing and the theory of language fields.
Keywords: Sequences; States of Sets; Multidimensional Partitions; Information Unit; System M; Logical Sentences Evaluation Sequences; States of Sets; Multidimensional Partitions; Information Unit; System M; Logical Sentences Evaluation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Javorszky, K. Information Processing in Auto-regulated Systems. Entropy 2003, 5, 161-192.

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