Co-creation amongst simulated agents


At a high level, this project relates to what and how agents (independent, intelligent actors, such as humans) come to know. One "default" way to think about this problem is to take the agents' environment (their reality) as granted, then consider the relationship between that environment and the agents' understanding of it (their estimates), which may point to sources of error and optimal estimation strategies. An alternative, "agnostic" way to think about this problem is to start with the agents' estimation processes, then consider the dynamics of information within a system of agents, which may resemble some of our own knowledge production systems. More concretely, this project has two primary goals: One is simply to illustrate the use of agent-based models, and discuss their potential role within a practice of science. The other is to explore the way systems of agents can form stable estimates.



Social psychology, Agent-based modeling, Simulation, Philosophy of science