In this paper we discuss the need for learning in multi-agent design systems, and the variety of forms it might take. We propose a particular method of guiding learning in these systems, describe an architecture for its implementation, and discuss how the learning should be evaluated. Keywords Multi-agent learning, flexible learning, wrappers, expectations.
Dan L. Grecu, David C. Brown