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Dynamics of imitation

Bibliographic Data

ID10142328
AuthorsJohn Conlisk (University of California San Diego, corresponding author), Jyh‐Chyi Gong (University of California San Diego), Ching H Tong (University of California San Diego)
Year2000
Volume24
Issue2
Pages97-128
Publication date2000-02-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/0022250x.2000.9990231
OpenAlexW2061884603
LanguageEN
Citations received1
References cited19

In the model, each person in a large population chooses between two options, such as adhering to or not adhering to a social norm. People observe each others’ choices at random and adjust their adherence probabilities in imitative directions. It is known from earlier work that, under strong restrictions on the imitation, the distribution of adherence probabilities will either evolve upward toward a high adherence equilibrium or downward toward a low adherence equilibrium, depending on initial conditions. The intuition is that imitation leads to uniformity. Here we show that more general forms of imitation allow a much wider variety of outcomes. There can be a sizable number of equilibria and a variety of stability patterns. In mathematical form, the model is an interactive Markov chain

Cognitive science · Econometrics · Imitation · Intuition · Machine learning · Markov chain · Mathematical economics · Population · Sociology · Variety (cybernetics · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Psychology

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Unique citing works1
Citations per year0.04
Citation span2000 - 2000 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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