Recent Developments in Computer Simulations of Language Competition
Computing in Science and Engineering
Prediction of Creole Emergence in Spatial Language Dynamics
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
Virtual Agents and 3D Virtual Worlds for Preserving and Simulating Cultures
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Convention emergence through spreading mechanisms
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Collective Sensor Configuration in Uncharted Environments
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Robust coordination in large convention spaces
AI Communications - European Workshop on Multi-Agent Systems (EUMAS) 2009
Emerging cooperation on complex networks
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
| Hi-index | 0.00 |
The emergence of consensus is a current paradigm in many computer simulation studies of social sciences problems. The specific issue is how to determine when the dynamics of a set of interacting agents that can choose among several options (political vote, opinion, cultural features, and so on) lead to a consensus in one of those options, or when a state with several coexisting social options prevails. Many researchers seek to identify the mechanisms that produce the latter, called a polarized state, in the face of general convergent dynamics. The problem of spatially distributed agents, for example, shares many characteristics with the problem of domain growth in phase-transition kinetics:consensus emerges when a single spatial domain grows to occupy the entire system, whereas polarization corresponds to a situation in which the system isn't ordered and different spatial domains compete. In this article, we consider stochastic dynamic models studied via computer simulation.