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    A Computational Model of Human Proficiency in Engineering Configuration Design 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 010:;page 101703-1
    Author(s): Brownell, Ethan; Cagan, Jonathan; Kotovsky, Kenneth
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work introduces the Proficient Simulated Annealing Design Agent Model (PSADA), a cognitively inspired, agent-based model of engineering configuration design. PSADA models different proficiency agents using move selection ...
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    Learning Proficient Behavior With Computational Agents in Engineering Configuration Design 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 002:;page 24501-1
    Author(s): Brownell, Ethan; Kotovsky, Kenneth; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A novel approach for computational agents to learn proficient behavior in engineering configuration design that is inspired by human learning is introduced in this work. The learning proficient simulated annealing design ...
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    Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 005:;page 51404-1
    Author(s): Zhang, Guanglu; Raina, Ayush; Brownell, Ethan; Cagan, Jonathan
    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 ...
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    Only as Strong as the Strongest Link: The Relative Contribution of Individual Team Member Proficiency in Configuration Design 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 008:;page 081402-1
    Author(s): Brownell, Ethan; Cagan, Jonathan; Kotovsky, Kenneth
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Prior research has demonstrated how the average characteristics of a team impact team performance. The relative contribution of team members has been largely ignored, especially in the context of engineering design. In ...
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