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RISDesign Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Generative design problems often encompass complex action spaces that may be divergent over time, contain state-dependent constraints, or involve hybrid (discrete and continuous) domains. To address those challenges, this ...
Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Advances in artificial intelligence (AI) offer new opportunities for human–AI cooperation in engineering design. Human trust in AI is a crucial factor in ensuring an effective human–AI cooperation, and several approaches ...
Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Building an Artificial Intelligence (AI) agent that can design on its own has been a goal since the 1980s. Recently, deep learning has shown the ability to learn from large-scale data, enabling significant advances in ...
The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Decision-making assistance by artificial intelligence (AI) during design is only effective when human designers properly utilize the AI input. However, designers often misjudge the AI’s and/or their own ability, leading ...
Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Engineering design problems often involve large state and action spaces along with highly sparse rewards. Since an exhaustive search of those spaces is not feasible, humans utilize relevant domain knowledge to condense the ...