Abstract
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.
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Grecu, D.L., Brown, D.C. (2000). Guiding Agent Learning in Design. In: Finger, S., Tomiyama, T., Mäntylä, M. (eds) Knowledge Intensive Computer Aided Design. KIC 1998. IFIP — The International Federation for Information Processing, vol 33. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35582-5_13
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DOI: https://doi.org/10.1007/978-0-387-35582-5_13
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