This paper describes the results of simulation experiments performed on a suite of learning algorithms. We focus on … games in network contexts. These are contexts in which (1) agents have very limited information about the game; users do not … the literature. We choose a small sampling of such algorithms and use numerical simulation to explore the nature of …

We report the findings of experiments designed to study how people learn in network games. Network games offer new … find that learning depends on network position. Participants in more complex environments (with more network neighbors …) tend to resort to simpler rules compared to those with only one network neighbor. …

between agents. Additionally, our simulation results give fresh impetus to debates about the interplay of innovation network … of an agent-based simulation model. The model incorporates three essential characteristics of knowledge that have not … been covered entirely by previous diffusion models: the network character of knowledge, compatibility of new knowledge with …