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...

The dynamic choice between individual and social learning is explored for a population of autonomous agents whose objective is to find solutions to a stream of related problems. The probability that an agent is in the individual learning mode, as opposed to the social learning mode, evolves over...

The agent-based approach views an organization as a collection of agents, interacting with one another in their pursuit of assigned tasks. The performance of an organization in this framework is determined by the formal and informal structures of interactions among agents, which define the lines...