Bimodal coalitions and neural networks
arXiv:2001.09716 · doi:10.1007/978-3-030-30425-6_49
Abstract
We give an account of the Axelrod-Bennet model that describes formation of a bimodal coalition. We present its initial formalism and applications and reformulate the problem in terms of the Hopfield model. This allowed us to analyze a system of two homogeneous groups of agents, which interact with each other. We obtained a phase diagram describing the dependence of the bimodal coalition on external parameters.
6 pages, 1 figure, 1 table