论文标题
双峰联盟和神经网络
Bimodal coalitions and neural networks
论文作者
论文摘要
我们对描述双峰联盟形成的Axelrod-Bennet模型进行了描述。我们介绍其最初的形式主义和应用，并根据Hopfield模型重新制定问题。这使我们能够分析两个均匀群体相互作用的系统。我们获得了描述双峰联盟对外部参数的依赖性的相图。
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.
