Innovative design of mechanical structures from first principles. - Jonathan Cagan; Alice M. Agogino (Artif. Intell. Eng. Des. Anal. Manuf., 1987)

Inducing constraint activity in innovative design. - Jonathan Cagan; Alice M. Agogino (Artif. Intell. Eng. Des. Anal. Manuf., 1991)

Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning. - Brian C. Williams; Jonathan Cagan (AAAI, 1994)

Discussion: Research issues in the application of design grammars. - Jonathan Cagan (Formal Design Methods for CAD, 1994)

A grammatical approach to network flow synthesis. - Jonathan Cagan; William J. Mitchell 001 (Formal Design Methods for CAD, 1994)

Shape annealing solution to the constrained geometric knapsack problem. - Jonathan Cagan (Comput. Aided Des., 1994)

Optimized process planning by generative simulated annealing. - Kenneth N. Brown; Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 1997)

Innovative dome design: Applying geodesic patterns with shape annealing. - Kristina Shea; Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 1997)

Simulated Annealing and the Generation of the Objective Function: A Model of Learning During Problem Solving. - Jonathan Cagan; Kenneth Kotovsky (Comput. Intell., 1997)

A-Design: Theory and Implementation of an Adaptive, Agent-Based Method of Conceptual Design. - Matthew I. Campbell; Jonathan Cagan; Kenneth Kotovsky (AID, 1998)

Generating Structural Essays from Languages of Discrete Structures. - Kristina Shea; Jonathan Cagan (AID, 1998)

A simulated annealing-based algorithm using hierarchical models for general three-dimensional component layout. - Jonathan Cagan; Drew Degentesh; Su Yin (Comput. Aided Des., 1998)

Influencing generative design through continuous evaluation: Associating costs with the coffeemaker shape grammar. - Manish Agarwal; Jonathan Cagan; Katherine G. Constantine (Artif. Intell. Eng. Des. Anal. Manuf., 1999)

Languages and semantics of grammatical discrete structures. - Kristina Shea; Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 1999)

Shape Grammar-Based Expert Systems for Engineering Design. - Manish Agarwal; Jonathan Cagan (AID, 2000)

On the use of shape grammars as expert systems for geometry-based engineering design. - Manish Agarwal; Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 2000)

Designing inner hood panels through a shape grammar based framework. - Jay P. McCormack; Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 2002)

A survey of computational approaches to three-dimensional layout problems. - Jonathan Cagan; Kenji Shimada; Sun Yin (Comput. Aided Des., 2002)

Interagent ties in team-based computational configuration design. - Jesse T. Olson; Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 2004)

A Framework for Computational Design Synthesis: Model and Applications. - Jonathan Cagan; Matthew I. Campbell; Susan Finger; Tetsuo Tomiyama (J. Comput. Inf. Sci. Eng., 2005)

Creating cross-over vehicles: Defining and combining vehicle classes using shape grammars. - Seth Orsborn; Jonathan Cagan; Richard R. Pawlicki; Randall C. Smith (Artif. Intell. Eng. Des. Anal. Manuf., 2006)

The Role of Functionality in the Mental Representations of Engineering Students: Some Differences in the Early Stages of Expertise. - Jarrod Moss; Kenneth Kotovsky; Jonathan Cagan (Cogn. Sci., 2006)

A look at the emerging science of innovation. - Jonathan Cagan (Artif. Intell. Eng. Des. Anal. Manuf., 2007)

The Cognition of Engineering Design - An Opportunity of Impact. - Jonathan Cagan (Cogn. Sci., 2007)

Computer-Based Design Synthesis Research: An Overview. - Amaresh Chakrabarti; Kristina Shea; Robert B. Stone; Jonathan Cagan; Matthew I. Campbell; Noe Vargas Hernandez; Kristin L. Wood (J. Comput. Inf. Sci. Eng., 2011)

Surprisingly Stochastic: Learning and Application of Emergent Behavior Using Interactive Simulations of Nano-Mechanical Biological Systems. - Paul F. Egan; Christian D. Schunn; Jonathan Cagan; Philip R. Leduc (CogSci, 2014)

Analyzing the Effect of Team Structure on Team Performance: An Experimental and Computational Approach. - Ut Na Sio; Kenneth Kotovsky; Jonathan Cagan (CogSci, 2014)

Emergent Systems Energy Laws for Predicting Myosin Ensemble Processivity. - Paul F. Egan; Jeffrey Moore; Christian D. Schunn; Jonathan Cagan; Philip R. Leduc (PLoS Comput. Biol., 2015)

Efficient probabilistic grammar induction for design. - Mark E. Whiting; Jonathan Cagan; Philip R. Leduc (Artif. Intell. Eng. Des. Anal. Manuf., 2018)

Learning to design from humans: Imitating human designers through deep learning. - Ayush Raina; Christopher McComb; Jonathan Cagan (CoRR, 2019)

Heuristic-Guided Solution Search Through a Two-Tiered Design Grammar. - Lucas Puentes; Jonathan Cagan; Christopher McComb (J. Comput. Inf. Sci. Eng., 2020)

Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design. - Ayush Raina; Lucas Puentes; Jonathan Cagan; Christopher McComb (CoRR, 2021)

Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces. - Ayush Raina; Jonathan Cagan; Christopher McComb (CoRR, 2021)

A strategic decision-making architecture toward hybrid teams for dynamic competitive problems. - Alparslan Emrah Bayrak; Christopher McComb; Jonathan Cagan; Kenneth Kotovsky (Decis. Support Syst., 2021)

Data-Driven Heuristic Induction From Human Design Behavior. - Lucas Puentes; Jonathan Cagan; Christopher McComb (J. Comput. Inf. Sci. Eng., 2021)

Taking the Guess Work Out of the Initial Guess: A Solution Interval Method for Least-Squares Parameter Estimation in Nonlinear Models. - Guanglu Zhang; Douglas L. Allaire; Jonathan Cagan (J. Comput. Inf. Sci. Eng., 2021)

Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice. - Leah Chong; Guanglu Zhang; Kosa Goucher-Lambert; Kenneth Kotovsky; Jonathan Cagan (Comput. Hum. Behav., 2022)

Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search. - Ayush Raina; Jonathan Cagan; Christopher McComb (CoRR, 2022)

Exploring the impact of set-based concurrent engineering through multi-agent system simulation. - Sean Rismiller; Jonathan Cagan; Christopher McComb (Artif. Intell. Eng. Des. Anal. Manuf., 2023)

Trust in an AI versus a Human teammate: The effects of teammate identity and performance on Human-AI cooperation. - Guanglu Zhang; Leah Chong; Kenneth Kotovsky; Jonathan Cagan (Comput. Hum. Behav., 2023)

Automating Style Analysis and Visualization With Explainable AI - Case Studies on Brand Recognition. - Yu-Hsuan Chen; Levent Burak Kara; Jonathan Cagan (CoRR, 2023)

Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models. - Guanglu Zhang; Douglas L. Allaire; Jonathan Cagan (J. Comput. Inf. Sci. Eng., 2023)

A mixed reality system combining augmented reality, 3D bio-printed physical environments and inertial measurement unit sensors for task planning. - Ernest Kabuye; Philip R. Leduc; Jonathan Cagan (Virtual Real., 2023)

Curve-based Neural Style Transfer. - Yu-Hsuan Chen; Levent Burak Kara; Jonathan Cagan (CoRR, 2024)

VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation. - Yu-Hsuan Chen; Jonathan Cagan; Levent Burak Kara (CoRR, 2024)

A Modified Simulated Annealing-Based Method for Hybrid Lattice Support Structure Design in LPBF Additive Manufacturing. - Lisha White; Xuan Liang; Guanglu Zhang; Jonathan Cagan; Yongjie Jessica Zhang (J. Comput. Inf. Sci. Eng., 2024)

A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries. - Lisha White; Guanglu Zhang; Junwon Seo; Nicholas Lamprinakos; Anthony D. Rollett; Jonathan Cagan; Yongjie Jessica Zhang (J. Comput. Inf. Sci. Eng., 2024)

Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling. - Yu-Hsuan Chen; Jing Bi; Cyril Ngo Ngoc; Victor Oancea; Jonathan Cagan; Levent Burak Kara (CoRR, 2025)

GPU-based complete search for nonlinear minimization subject to bounds. - Guanglu Zhang; Qihang Shan; Jonathan Cagan (CoRR, 2025)