Interacting Agents and Continuous Opinions Dynamics
AbstractWe present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encoun ters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, whereas low thresholds result in several opinion clusters. The model is further generalized to network interactions, threshold heterogeneity, adaptive thresholds and binary strings of opinions.
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Bibliographic InfoPaper provided by Santa Fe Institute in its series Working Papers with number 01-11-072.
Date of creation: Nov 2001
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Dynamics; opinions; norms; bounded rationality; economic choices;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-03-14 (All new papers)
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