Learning by Single Function Agents during Spring Design

  • Dan L. Grecu
  • David C. Brown

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.

Keywords

Multiagent System Design Requirement Material Selection Concurrent Engineering Work Temperature Range 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • Dan L. Grecu
    • 1
  • David C. Brown
    • 1
  1. 1.AI in Design Group, Computer Science DepartmentWorcester Polytechnic InstituteWorcesterUSA

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