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Journal Articles

Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan

J. Mech. Des. May 2023, 145(5): 051404.

Paper No: MD-22-1517

DOI: https://doi.org/10.1115/1.4056499

Published Online: January 17, 2023

View Article titled, Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers

Topics: Design, Artificial intelligence

Journal Articles

Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search

Ayush Raina, Jonathan Cagan, Christopher McComb

J. Mech. Des. March 2023, 145(3): 031402.

Paper No: MD-22-1326

DOI: https://doi.org/10.1115/1.4056221

Published Online: December 9, 2022

View Article titled, Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search

Topics: Boundary-value problems, Design, Algorithms

Proceedings Papers

The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A017, August 14–17, 2022

Paper No: DETC2022-88535

DOI: https://doi.org/10.1115/DETC2022-88535

View Paper titled, The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

Topics: Artificial intelligence, Engineering design, Teams

Proceedings Papers

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A043, August 14–17, 2022

Paper No: DETC2022-89740

DOI: https://doi.org/10.1115/DETC2022-89740

View Paper titled, Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Topics: Design, Space, Algorithms, Artificial intelligence, Boundary-value problems, Data-driven design, Design automation, Trusses (Building)

Proceedings Papers

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 14–17, 2022

Paper No: DETC2022-88574

DOI: https://doi.org/10.1115/DETC2022-88574

View Paper titled, Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Topics: Artificial intelligence, Collaboration, Decision making, Design

Journal Articles

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan

J. Mech. Des. March 2023, 145(3): 031401.

Paper No: MD-22-1057

DOI: https://doi.org/10.1115/1.4055123

Published Online: October 31, 2022

View Article titled, The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Topics: Artificial intelligence, Decision making, Design, Feedback, Trusses (Building)

Journal Articles

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb

J. Mech. Des. February 2022, 144(2): 021404.

Paper No: MD-21-1227

DOI: https://doi.org/10.1115/1.4052566

Published Online: October 11, 2021

View Article titled, Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Topics: Design, Generative design, Space, Decision making, Trusses (Building)

Journal Articles

Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design

Ayush Raina, Lucas Puentes, Jonathan Cagan, Christopher McComb

J. Mech. Des. December 2021, 143(12): 124501.

Paper No: MD-20-1783

DOI: https://doi.org/10.1115/1.4051013

Published Online: June 9, 2021

View Article titled, Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design

Topics: Design, Trusses (Building), Construction, Feedback

Proceedings Papers

Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Ayush Raina, Christopher McComb, Jonathan Cagan

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A001, August 18–21, 2019

Paper No: DETC2019-97399

DOI: https://doi.org/10.1115/DETC2019-97399

View Paper titled, Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Topics: Design, Teams, Trusses (Building), Computers, Image processing, Modeling

Journal Articles

Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Ayush Raina, Christopher McComb, Jonathan Cagan

J. Mech. Des. November 2019, 141(11): 111102.

Paper No: MD-19-1131

DOI: https://doi.org/10.1115/1.4044256

Published Online: September 16, 2019

View Article titled, Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Topics: Design

Journal Articles

Transferring Design Strategies From Human to Computer and Across Design Problems

Ayush Raina, Jonathan Cagan, Christopher McComb

J. Mech. Des. November 2019, 141(11): 114501.

Paper No: MD-19-1206

DOI: https://doi.org/10.1115/1.4044258

Published Online: September 16, 2019

View Article titled, Transferring Design Strategies From Human to Computer and Across Design Problems

Topics: Design

Proceedings Papers

Design Strategy Transfer in Cognitively-Inspired Agents

Ayush Raina, Christopher McComb, Jonathan Cagan

Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A018, August 26–29, 2018

Paper No: DETC2018-85599

DOI: https://doi.org/10.1115/DETC2018-85599

View Paper titled, Design Strategy Transfer in Cognitively-Inspired Agents

Topics: Design, Computers

Journal citation

NARROW

Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers

Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search

The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design

Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Transferring Design Strategies From Human to Computer and Across Design Problems

Design Strategy Transfer in Cognitively-Inspired Agents

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