On the Finality and Truthfulness of the Interpretation of Autopoietic Behavior of Competitive Systems in Sports

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Franjo Jović

1 ,

Franjo Jović

1 ,

Affiliations

1. HATZ, University of Osijek, FERIT Lava Mirskog 2a, 31000 Osijek, Croatia

Affiliations

1. HATZ, University of Osijek, FERIT Lava Mirskog 2a, 31000 Osijek, Croatia

Abstract: Finality is the ability of organismic systems to achieve a goal. Finality is also the highest level of information. In machines, finality is in principle narrowly programmed, controlled, and limited. At the interface of machines and organismic systems, the task of correct information engineering is posed. An observable quasi-organismic system is defined. For such a system, a ternary code is introduced based on binary encoding of events. Using a sliding frame of four consecutive intervals, a 27-character unambiguous alphabet of potentially risky events is encoded. Autopoietic behavior is defined as the system's immunity to risks. Using the example of a top Olympic handball event, intervals of autopoietic and non-autopoietic behavior of teams in competition are determined. Intervals of autopoietic behavior prevail. The element of threat to goal achievement for individual risky events whose randomness is less than 1/256 is considered.

Keywords: teamwork, quasi-organismic system, observability, self-consistency, self-sustainability, threat

Abstract

Summary: Finality is the ability of an organismic system to achieve the goal. Finality is at the same time the highest level of information. With machines, finality is in principle narrowly programmed, controlled and limited. The task of correct engineering of the information is set at the interface of machine and organismic system. Features of an observable quasi-organismic system are defined. For such a system, a ternary code is introduced based on the transformation of original binary encoding of events. Using a moving frame of four consecutive intervals, an information rich 27-character unambiguous alphabet of potentially risky events is encoded. Autopoietic behavior is defined as risk immune system behavior. On the example of a top sport event, the intervals of autopoietic and non-autopoietic behavior of teams in competition are determined, where the intervals of autopoietic behavior prevail. The probability of randomness of the applied algorithm is much less than 0.004.