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How do Non-Linear Relations of Social Macro-Variables Arise from Aggregation of Individual Decisions

Bibliographic Data

ID10142429
AuthorsVolker Müller‐benedict (0000-0001-7747-3090, Europa-Universität Flensburg, corresponding author), Volker Müller-Benedict
Year2006
Volume30
Issue2
Pages137-158
Publication date2006-03-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00222500500547113
OpenAlexW2032349109
LanguageEN
References cited14

There are three different reasons why non-linear functions between social macro-variables (aggregates) may arise. They can be related to three basic steps of a specific model of explanation of social phenomena, defined by Coleman: the logic of situation, the logic of selection and the logic of transition. Starting with a model of one linear difference equation, a change to three different non-linear system equations can generate stable cycles, bifurcations, and chaos. These non-linear system equations can be deduced from simple assumptions about individual or institutional social attributes. It is shown that a) non-linear individual reactions, b) different selection rules for actors having different social attributes and c) institutional constraints resulting in different transition processes are possible causes for non-linearity at the system level. Furthermore it is demonstrated that the assumption of non-linear but homogeneous reactions of all persons have a similar effect on non-linearity, like it is the case for different selection rules. However, despite of being able to show mathematically the possibility of chaos, it has to be said that chaos as a durable state of social systems is very improbable

CHAOS (operating system · Epistemology · Linearity · Macro · Mathematical economics · Physics · Selection (genetic algorithm · Simple (philosophy · Social system · Statistical physics · Applied Mathematics · Artificial Intelligence · Complex Systems and Decision Making · Complex Systems and Time Series Analysis · Computer Science · Mathematics · Opinion Dynamics and Social Influence

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