
Generating social networks with static and dynamic utility-maximization approaches
This paper offers a novel theoretical framework at the interface of physics and economics to understand and generate social networks.
This paper offers a novel theoretical framework at the interface of physics and economics to understand and generate social networks.
In this paper, we introduce the first agent-based model of competition in quantities featuring a Deep Deterministic Policy Gradient (DDPG) algorithm and assess its effect on both equilibrium stability and collusive outcome.