Discrete Opinion models as a limit case of the CODA model

Opinion Dynamics models can be, for most of them, divided between discrete and continuous. They are used in different circumstances and the relationship between them is not clear. Here we will explore the relationship between a model where choices are discrete but opinions are a continuous function (the Continuous Opinions and Discrete Actions, CODA, model) and traditional discrete models. I will show that, when CODA is altered to include reasoning about the influence one agent can have on its own neighbors, agreement and disagreement no longer have the same importance. The limit when an agent considers itself to be more and more influential will be studied and we will see that one recovers discrete dynamics, like those of the Voter model in that limit

[1]  S. Galam,et al.  Sociophysics: A new approach of sociological collective behaviour. I. mean‐behaviour description of a strike , 1982, 2211.07041.

[2]  André C. R. Martins,et al.  An opinion dynamics model for the diffusion of innovations , 2008, 0809.5114.

[3]  P. Clifford,et al.  A model for spatial conflict , 1973 .

[4]  Serge Galam,et al.  Opinion Dynamics, Minority Spreading and Heterogeneous Beliefs , 2006 .

[5]  André C. R. Martins,et al.  The Importance of Disagreeing: Contrarians and Extremism in the Coda Model , 2009, Adv. Complex Syst..

[6]  Serge Galam,et al.  Local dynamics vs. social mechanisms: A unifying frame , 2005 .

[7]  Andre C. R. Martins,et al.  CONTINUOUS OPINIONS AND DISCRETE ACTIONS IN OPINION DYNAMICS PROBLEMS , 2007, 0711.1199.

[8]  Guillaume Deffuant,et al.  Comparing Extremism Propagation Patterns in Continuous Opinion Models , 2006, J. Artif. Soc. Soc. Simul..

[9]  D. Stau,et al.  Election results and the Sznajd model on Barabasi network , 2002 .

[10]  Dietrich Stauffer AIP Conference Proceedings on the Monte Carlo method in the physical sciences, to be edited by J.E. Gubernatis. How to convince others ? Monte Carlo simulations of the Sznajd model , 2003 .

[11]  Nestor Caticha,et al.  Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach , 2004, Machine Learning.

[12]  Katarzyna Sznajd-Weron,et al.  Opinion evolution in closed community , 2000, cond-mat/0101130.

[13]  Serge Galam,et al.  Modelling rumors: the no plane Pentagon French hoax case , 2002, cond-mat/0211571.

[14]  Nestor Caticha,et al.  Opinion dynamics of learning agents: does seeking consensus lead to disagreement? , 2008, 0811.2099.

[15]  Rainer Hegselmann,et al.  Opinion dynamics and bounded confidence: models, analysis and simulation , 2002, J. Artif. Soc. Soc. Simul..

[16]  S. Galam,et al.  Towards a theory of collective phenomena: Consensus and attitude changes in groups , 1991 .

[17]  K. Sznajd-Weron Sznajd model and its applications , 2005, physics/0503239.

[18]  R. Holley,et al.  Ergodic Theorems for Weakly Interacting Infinite Systems and the Voter Model , 1975 .

[19]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[20]  Guillaume Deffuant,et al.  Mixing beliefs among interacting agents , 2000, Adv. Complex Syst..

[21]  André C R Martins,et al.  Mobility and social network effects on extremist opinions. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  André C. R. Martins Modeling Scientific Agents for a Better Science , 2010, Adv. Complex Syst..