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15.05.2024

Communication of information in systems of heterogeneous agents and systems’ dynamics

verfasst von: Inga Ivanova

Erschienen in: Quality & Quantity | Ausgabe 6/2024

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Abstract

Communication of information in complex systems can be considered as major driver of systems evolution. What matters is not the communicated information by itself but rather the meaning that is supplied to the information. However informational exchange in a system of heterogeneous agents, i.e. agents which code and decode information with different meaning processing structures, or, in other words, which entertain different sets of communication codes, is more complex than simple input–output model. The structural differences of coding and decoding algorithms in a system of three or more groups of agents, entertaining different sets of communication codes, provide a source of additional options which has an impact on system’s dynamics. The mechanisms of meaning and information processing can be evaluated analytically in a framework of the model, based on the use of a non-linear evolutionary equation. The results suggest that model predictions significantly correlate with empirically observed data in systems of different origins.

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Recursive system use their past states to modulate the present ones, incursive (or anticipatory) system employ past and present states to shape its present state, hyper-incursive system is reconstructed in terms of its future states (e.g. Rosen 1985; Dubois, 1998; Leydesdorff and Dubois 2004).

Probability p and probability density P are related as following: \(p\left( t \right) = \mathop \smallint \limits_{ - \infty }^{t} P\left( \tau \right)d\tau\)

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Shannon (1948) defined the proportion of non-realized but possible options as redundancy, and the proportion of realized options as the relative uncertainty or information.

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Titel: Communication of information in systems of heterogeneous agents and systems’ dynamics
verfasst von: Inga Ivanova
Publikationsdatum: 15.05.2024
Verlag: Springer Netherlands
Erschienen in: Quality & Quantity / Ausgabe 6/2024
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI: https://doi.org/10.1007/s11135-024-01899-6

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