Heuristics for Solver-Aware Systems Architecting: A Reinforcement Learning Approach
The crowdsourcing literature has shown that domain experts are not always the best solvers
for complex system design problems. Under certain conditions, novices and specialists in …
for complex system design problems. Under certain conditions, novices and specialists in …
Valuing Outliers: a Modeling Framework to Consider Non-Traditional Solutions From Non-Traditional Solvers
While the engineering design research community has developed numerous models for
early-stage design over the years, these models explore the design space corresponding to …
early-stage design over the years, these models explore the design space corresponding to …
Navigating the Golden Triangle: The Need to Jointly Consider Modularization and Interface Choices When Making Performance, Cost, and Schedule Tradeoffs for …
Decomposition is a critical enabler of complex system development, as it enables both task
specialization and efficiency through parallel work. The process of decomposing involves …
specialization and efficiency through parallel work. The process of decomposing involves …
Requirements, Objectives, Both, or Neither: How to Formulate Complex Design Problems for Innovation Contests
Technical organizations increasingly rely on innovation contests to find novel ideas for
designing complex systems. These activities involve outsiders in the early stages of the …
designing complex systems. These activities involve outsiders in the early stages of the …
Computer-aided design as a research instrument for engineering design: supporting multiple methods by observing artifacts, actors, and actions
Scholars studying engineering design have long identified three essential, interacting
elements: the artifact being designed, the actors designing it, and the actions they take to do …
elements: the artifact being designed, the actors designing it, and the actions they take to do …
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability
M Ofsa, TG Topcu - arxiv preprint arxiv:2502.03511, 2025 - arxiv.org
Systems engineering (SE) is evolving with the availability of generative artificial intelligence
(AI) and the demand for a systems-of-systems perspective, formalized under the purview of …
(AI) and the demand for a systems-of-systems perspective, formalized under the purview of …