Structured to Succeed? Strategy Dynamics in Engineering Systems Design and Their Effect on Collective Performance

2021 ◽  
Author(s):  
Ambrosio Valencia-Romero ◽  
Paul Grogan
2018 ◽  
Vol 140 (9) ◽  
Author(s):  
Marvin Arroyo ◽  
Nicholas Huisman ◽  
David C. Jensen

Fault adaptive design seeks to find the principles and properties that enable robustness, reliability, and resilience to implement those features into engineering products. In nature, this characteristic of adaptability is the fundamental trait that enables survival. Utilizing adaption strategy is a new area of research exploration for bio-inspired design (BID). In this paper, we introduce a tool for BID for fault adaption. Further, we discuss insights from using this tool in an undergraduate design experiment. The goal of the tool is to assist designers to develop fault adaptive behaviors in engineering systems using nature as inspiration. This tool is organized as a binary tree where branches that represent the specific details of how an organism achieves an adaptive behavior or characteristic. Results from an initial study indicate, for the specific challenge of designing fault adaption into a system, a strategy-based method can provide designers with innovative analogies and help provide the details needed to bridge the gap between analogy and engineering implementation.


2016 ◽  
Vol 13 (9) ◽  
pp. 1802-1822 ◽  
Author(s):  
Fernando Ricardo Moreira ◽  
Fran Sérgio Lobato ◽  
Aldemir Ap. Cavalini Jr ◽  
Valder Steffen Jr

2020 ◽  
Vol 142 (12) ◽  
Author(s):  
Ambrosio Valencia-Romero ◽  
Paul T. Grogan

Abstract Strategy dynamics are hypothesized to be a structural factor of interactive multi-actor design problems that influence collective performance and behaviors of design actors. Using a bi-level model of collective decision processes based on design optimization and strategy selection, we formulate a series of two-actor parameter design tasks that exhibit four strategy dynamics (harmony, coexistence, bistability, and defection) associated with low and high levels of structural fear and greed. In these tasks, design actor pairs work collectively to maximize their individual values while managing the trade-offs between aligning with or deviating from a mutually beneficial collective strategy. Results from a human subject design experiment indicate cognizant actors generally follow normative predictions for some strategy dynamics (harmony and coexistence) but not strictly for others (bistability and defection). Cumulative link model regression analysis shows that a greed factor contributing to strategy dynamics has a stronger effect on collective efficiency and equality of individual outcomes compared to a fear factor. Results of this study provide an initial description of strategy dynamics in engineering design and help to frame future work to mitigate potential unfavorable effects of their underlying strategy dynamics through social constructs or mechanism design.


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