Of Ants and Voters
Maximum Entropy Prediction of Agent-Based Models with Recruitment
Bibliographic Data
| ID | 19130304 |
|---|---|
| Authors | Sylvain Barde (0000-0003-1465-8236, University of Kent, corresponding author) |
| Year | 2012 |
| Volume | 124 |
| Issue | 5 |
| Pages | 147-175 |
| Publication date | 2012-11-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Revue de l'OFCE/ La Revue de l'OFCE (JOURNAL) |
| Journal identifiers | ISSN: 1265-9576 • E-ISSN: 1777-5647 |
| Publisher | CAIRN (PUBLISHER) |
| DOI | 10.3917/reof.124.0147 |
| OpenAlex | W2051533754 |
| Language | EN |
| References cited | 13 |
Maximum entropy predictions are made for the Kirman ant model as well as the Abrams-Strogatz model of language competition, also known as the voter model. In both cases the maximum entropy methodology provides good predictions of the limiting distribution of states, as was already the case for the Schelling model of segregation. As an additional contribution, the analysis of the models reveals the key role played by relative entropy and the model in controlling the time horizon of the prediction
Econometrics · Kullback–Leibler divergence · Limiting · Mathematical economics · Physics · Principle of maximum entropy · Statistical physics · Statistics · Voter model · Complex Systems and Time Series Analysis · Computer Science · Engineering · Mathematics · Opinion Dynamics and Social Influence · Statistical Mechanics and Entropy · Artificial Intelligence
| Highly cited | No |
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