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Multiagent-based simulation has been successfully used to understand and predict organization and social behavior. In this work, we apply this concept to product design and use a multiagent framework to study the interactions of functions and components in a product that lead to novel and creative solutions. Though there is a clear-cut correlation between profitability and creativity in a product, the steps that lead to designing a ``creative" product are elusive. To address this issue, we use recent advances in multiagent credit assignment to propagate a product's creativity back to its components, and determine which component (or set of components) contributes the most to a product's novelty. To validate our approach, we use the Design Repository that contains thousands of products which have been decomposed into functions and components. We demonstrate the applicability and benefits of the multiagent-based approach by (i) assessing and propagating the creativity of a set of products analyzed by \em Popular Science, the IDSA IDEA Award, and \em Time Magazine's 50 Best Innovations, and (ii) directly assessing the creativity of products in the design repository through surveys and propagating these scores back to the components.
(unavailable)
@incollection{tumer-rebhuhn_mabs12,
author = {C. Rebhuhn and B. Gilchrist and S. Oman and I.~Tumer and R. Stone and K. Tumer},
title = {A Multiagent Framework for Component-Level Creativity Evaluation},
booktitle = {AAMAS-2012 Workshop on Multi-Agent Based Simulation},
month = {June},
address = {Valencia, Spain},
editors = {F. Amblard and F. Giardini},
abstract={Multiagent-based simulation has been successfully used to understand and predict organization and social behavior. In this work, we apply this concept to product design and use a multiagent framework to study the interactions of functions and components in a product that lead to novel and creative solutions. Though there is a clear-cut correlation between profitability and creativity in a product, the steps that lead to designing a ``creative" product are elusive. To address this issue, we use recent advances in multiagent credit assignment to propagate a product's creativity back to its components, and determine which component (or set of components) contributes the most to a product's novelty. To validate our approach, we use the Design Repository that contains thousands of products which have been decomposed into functions and components. We demonstrate the applicability and benefits of the multiagent-based approach by (i) assessing and propagating the creativity of a set of products analyzed by {\em Popular Science}, the IDSA IDEA Award, and {\em Time Magazine}'s 50 Best Innovations, and (ii) directly assessing the creativity of products in the design repository through surveys and propagating these scores back to the components.},
bib2html_pubtype = {Workshop/Symposium Papers},
bib2html_rescat = {Multiagent Systems, Other Topics},
year = {2012}
}
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