The dynamics of social agreement according to Conceptual Agreement Theory

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Abstract

Many social phenomena can be viewed as processes in which individuals in social groups develop agreement (e.g., public opinion, the spreading of rumor, the formation of social and linguistic conventions). Conceptual Agreement Theory (CAT) models social agreement as a simplified communicational event in which an Observer (Formula presented.)(Formula presented.) and Actor (Formula presented.) (Formula presented.) exchange ideas about a concept (Formula presented.)(Formula presented.), and where (Formula presented.)(Formula presented.)uses that information to infer whether (Formula presented.) (Formula presented.)’s conceptual state is the same as its own (i.e., to infer agreement). Agreement may be true (when (Formula presented.) (Formula presented.) infers that(Formula presented.) (Formula presented.) is thinking (Formula presented.) (Formula presented.) and this is in fact the case, event (Formula presented.)(Formula presented.)) or illusory (when (Formula presented.)(Formula presented.)infers that(Formula presented.)(Formula presented.) is thinking (Formula presented.)(Formula presented.)and this is not the case, event (Formula presented.)(Formula presented.)). In CAT, concepts that afford (Formula presented.)(Formula presented.) or (Formula presented.) (Formula presented.) become more salient in the minds of members of social groups. Results from an agent-based model (ABM) and probabilistic model that implement CAT show that, as our conceptual analyses suggested would be the case, the simulated social system selects concepts according to their usefulness to agents in promoting agreement among them (Experiment 1). Furthermore, the ABM exhibits more complex dynamics where similar minded agents cluster and are able to retain useful concepts even when a different group of agents discards them (Experiment 2). We discuss the relevance of CAT and the current findings for analyzing different social communication events, and suggest ways in which CAT could be put to empirical test.

Original languageEnglish
Pages (from-to)3289-3309
Number of pages21
JournalQuality and Quantity
Volume48
Issue number6
DOIs
StatePublished - 31 Oct 2014
Externally publishedYes

Keywords

  • Agent-based modeling
  • Conceptual Agreement Theory
  • Conceptual diversity
  • Dynamics of conceptual development

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