Abstract
This paper reports on some initial experiments on learning in multi-agent design systems. These experiments have several goals. The first is to study the ease with which simple learning techniques fit into the multi-agent paradigm we are using. The second is to determine the performance of these techniques. The third is to study the application of the multi-agent paradigm we use to “real” problems, as its development has mostly been concerned with a more theoretical view.
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Grecu, D.L., Brown, D.C. (1996). Learning by Single Function Agents during Spring Design. In: Gero, J.S., Sudweeks, F. (eds) Artificial Intelligence in Design ’96. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0279-4_22
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DOI: https://doi.org/10.1007/978-94-009-0279-4_22
Publisher Name: Springer, Dordrecht
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