"The Role of Culture in the Emergence of Decision-Making Roles: An Example Using Cultural Algorithms"
In this approach we use Cultural Algorithms as a vehicle to explore the emergence of decision-making roles among an initially homogeneous population of agents. In the Cultural Algorithm we have a population of agents that can use one of several cultural knowledge sources in the Cultural Belief Space each time step to guide their search for the point of optimum yield in a two dimensional real-valued landscape. During the simulation groups of decision-makers with different roles emerge consistently from run to run. We describe the different roles and try to motivate why this emergence has taken place.