The Non-linear Dynamics of Meaning-Processing in Social Systems
Loet Leydesdorff

TL;DR
This paper models the non-linear dynamics of meaning-processing in social systems using anticipatory systems theory, highlighting how social order emerges from complex interactions of expectations and models.
Contribution
It introduces equations based on Luhmann's and Rosen's theories to model how social systems process meaning through anticipatory mechanisms, including hyper-incursion.
Findings
Social systems use multiple models to anticipate and process meaning.
Hyper-incursive systems can handle complex meaning but risk overload without decisions.
Cultural expectations shape social order through anticipatory mechanisms.
Abstract
Social order cannot be considered as a stable phenomenon because it contains an order of reproduced expectations. When the expectations operate upon one another, they generate a non-linear dynamics that processes meaning. Specific meaning can be stabilized, for example, in social institutions, but all meaning arises from a horizon of possible meanings. Using Luhmann's (1984) social systems theory and Rosen's (1985) theory of anticipatory systems, I submit equations for modeling the processing of meaning in inter-human communication. First, a self-referential system can use a model of itself for the anticipation. Under the condition of functional differentiation, the social system can be expected to entertain a set of models; each model can also contain a model of the other models. Two anticipatory mechanisms are then possible: one transversal between the models, and a longitudinal one…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Evolutionary Game Theory and Cooperation · University-Industry-Government Innovation Models
