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A New Perspective of Cultural DNATrust Considerations in the Coordination of Computational Design Teams

A New Perspective of Cultural DNA: Trust Considerations in the Coordination of Computational... [Design of complex systems requires a team and a significant coordination effort to produce a coherent whole that can achieve the desired system-level characteristics. Trust plays a critical role in group interactions with a significant impact on the efficacy of teamwork. Methods to make effective team coordination decisions based on proper trust relationships are not well studied in the literature. Here, we present a notional case study to quantitatively analyze the impact of trust in team coordination on the overall team performance when the team members make design decisions using uncertain information sources. The analysis is based on computational teams where a system-level problem is decomposed into subproblems solved by individual computational agents. In this case study, we model the design decisions of the individual agents with deterministic or Bayesian optimization depending on whether the models used for decision-making contains uncertainty. We use analytical target cascading to coordinate the team decisions where trust is a simple static quantity that determines the importance of the response coming from individual subsystems in the system-level problem. The results show that maximum trust in a team does not always yield the best teaming performance and that trust indeed should be a design variable to be determined based on the quality of the decisions that a team member makes. This study demonstrates these results on a notional problem for simplicity and interpretability while the approach can be generalized to more practical design problems.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A New Perspective of Cultural DNATrust Considerations in the Coordination of Computational Design Teams

Part of the KAIST Research Series Book Series
Editors: Lee, Ji-Hyun
Bayrak, Alparslan Emrah
A New Perspective of Cultural DNA — Sep 24, 2020
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Publisher
Springer Singapore
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
ISBN
978-981-15-7706-2
Pages
17 –25
DOI
10.1007/978-981-15-7707-9_2
Publisher site
See Chapter on Publisher Site

Abstract

[Design of complex systems requires a team and a significant coordination effort to produce a coherent whole that can achieve the desired system-level characteristics. Trust plays a critical role in group interactions with a significant impact on the efficacy of teamwork. Methods to make effective team coordination decisions based on proper trust relationships are not well studied in the literature. Here, we present a notional case study to quantitatively analyze the impact of trust in team coordination on the overall team performance when the team members make design decisions using uncertain information sources. The analysis is based on computational teams where a system-level problem is decomposed into subproblems solved by individual computational agents. In this case study, we model the design decisions of the individual agents with deterministic or Bayesian optimization depending on whether the models used for decision-making contains uncertainty. We use analytical target cascading to coordinate the team decisions where trust is a simple static quantity that determines the importance of the response coming from individual subsystems in the system-level problem. The results show that maximum trust in a team does not always yield the best teaming performance and that trust indeed should be a design variable to be determined based on the quality of the decisions that a team member makes. This study demonstrates these results on a notional problem for simplicity and interpretability while the approach can be generalized to more practical design problems.]

Published: Sep 24, 2020

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