Human-computer hybrid teams can meet challenges in designing complex engineered
systems. However, the understanding of interaction in the hybrid teams is lacking. We review …

The performance of a design team is influenced by each team member's unique cognitive
style–ie, their preferred manner of managing structure as they solve problems, make …

Reinforcement learning algorithms can autonomously learn to search a design space for
high-performance solutions. However, modern engineering often entails the use of …

The design of complex engineered systems is challenging, especially in early design stages
due to the complex emergent behavior that often results in unforeseen failures. Emergent …

Complex engineered systems design is a collaborative activity. To design a system, experts
from the relevant disciplines must work together to create the best overall system from their …

We hypothesize that by providing decision support for designers we can speed up the
design process and facilitate the creation of quality cost-effective designs. One of the …

Ambient intelligence refers a new technological paradigm, where everyday environments
behave in a smart way and are sensitive to their inhabitants. In order to reach this objective …

Set-based concurrent engineering (SBCE), a process that develops sets of many design
candidates for each subproblem throughout a design project, proposes several benefits …

With the continuous improvement in user demand and the increasingly obvious complexity
characteristics, such as strong coupling and nonlinearity of the system, it has become a new …

The increasing individualization of products reinforces the importance of decoupled factories
in production processes. Artificial intelligence (AI) is a recognized technology for problem …