We explore the evolution of the structure and performance of a social network in a population of individuals who search for local optima in diverse and dynamic task environments. Individuals choose whether to innovate or imitate and, in the latter case, from whom to learn. The probabilities of...

In Chang and Harrington (2000a) a computational model of a multi-unit firm is developed in which unit managers continually search for better practices Search takes place over a rugged landscape defined over the space of unit practices There it is shown that a more centralized organization is...

Scientific progress is driven by innovation ?which serves to produce a diversity of ideas ?and imitation through a social network ?which serves to diffuse these ideas. In this paper, we develop an agent-based computational model of this process, in which the agents in the population are...