Abstract
Though there is a clear correlation between profitability and innovativeness, the steps that lead to designing a “creative” product are elusive. In order to learn from past design successes, we must identify the impact of design choices on the innovativeness of an entire product. This problem of quantifying the impact of design choices on a final product is analogous to the problem of ‘credit assignment’ in a multiagent system. We use recent advances in multiagent credit assignment to propagate a product’s innovativeness back to its components. To validate our approach we analyze products from the Design Repository, which contains thousands of products that have been decomposed into functions and components. We demonstrate the benefits of our approach by assessing and propagating innovation evaluations of a set of products down to the component level. We then illustrate the usefulness of the gathered component-level innovation scores by illustrating a product redesign.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Oman S, Gilchrist B, Rebhuhn C, Tumer IY, Nix A, Stone R (2012) Towards a repository of innovative products to enhance engineering creativity education. In: ASME 2012 International design engineering technical conferences and computers and information in engineering conference American Society of Mechanical Engineers, pp 207–218
Arnold C, Stone R, McAdams D (2008) MEMIC: an interactive morphological matrix tool for automated concept generation, In: Proceedings of the 2008 industrial engineering conference. Vancouver, BC
Shah JJ, Smith SM, Vargas-Hernandez N (2003) Metrics for measuring ideation effectiveness. Des Stud 24(2):111–134
Bohm MR, Vucovich JP, Stone RB (2008) Using a design repository to drive concept generation. J Comput Inf Sci Eng 8(1):014502
Hirtz J, Stone RB, McAdams DA, Szykman S, Wood KL (2002) A functional basis for engineering design: reconciling and evolving previous efforts. Res Eng Des, Springer 13(2):65–82
Brown DC (2008) Guiding computational design creativity research. In: Proceedings of the international workshop on studying design creativity, University of Provence, Aix-en-Provence
Agogino A, Tumer K (2008) Analyzing and visualizing multiagent rewards in dynamic and stochastic domains. Auton Agent Multi-Agent Syst 17(2):320–338
Barto AG, Dietterich TG (2004) Reinforcement learning and its relationship to supervised learning. In: Handbook of learning and approximate dynamic programming. Wiley, Hoboken
Claus C, Boutilier C (1998) The dynamics of reinforcement learning in cooperative multiagent systems. In: AAAI/IAAI, pp 746–752
Agogino AK, Tumer K (2012) A multiagent approach to managing air traffic flow. Auton Agent Multi-Agent Syst 24(1):1–25
Wolpert DH, Tumer K (2002) Collective intelligence, data routing and Braess’ paradox. J Artif Intell Res 16:359–387
Acknowledgments
The authors would like to thank the National Science Foundation for their support under Grant Nos. CMMI-0928076 and 0927745 from the Engineering Design and Innovation Program and the NSF REU supplement grant CMMI-1033407. Any opinions or findings of this work are the responsibility of the authors, and do not necessarily reflect the views of the sponsors or collaborators.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Rebhuhn, C., Gilchrist, B., Oman, S., Tumer, I., Stone, R., Tumer, K. (2015). A Multiagent Approach to Identifying Innovative Component Selection. In: Gero, J., Hanna, S. (eds) Design Computing and Cognition '14. Springer, Cham. https://doi.org/10.1007/978-3-319-14956-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-14956-1_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14955-4
Online ISBN: 978-3-319-14956-1
eBook Packages: EngineeringEngineering (R0)