Multi-Context Models for Reasoning under Partial Knowledge: Generative Process and Inference Grammar. - Ardavan Salehi Nobandegani; Ioannis N. Psaromiligkos (UAI, 2015)

Probabilistic Structural Controllability in Causal Bayesian Networks. - Ardavan Salehi Nobandegani; Ioannis N. Psaromiligkos (CoRR, 2015)

The Causal Frame Problem: An Algorithmic Perspective. - Ardavan Salehi Nobandegani; Ioannis N. Psaromiligkos (CogSci, 2017)

Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models. - Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2017)

Relevance effect: Exploiting Bayesian networks to improve supervised learning. - Ardavan Salehi Nobandegani; Jad Kabbara; Ioannis N. Psaromiligkos (IJCNN, 2017)

Over-representation of Extreme Events in Decision-Making: A Rational Metacognitive Account. - Ardavan Salehi Nobandegani; Kevin da Silva Castanheira; A. Ross Otto; Thomas R. Shultz (CogSci, 2018)

A Rational Distributed Process-level Account of Independence Judgment. - Ardavan Salehi Nobandegani; Ioannis N. Psaromiligkos (CogSci, 2018)

Example Generation Under Constraints Using Cascade Correlation Neural Nets. - Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2018)

Sample-Based Variant of Expected Utility Explains Effects of Time Pressure and Individual Differences in Processing Speed on Risk Preferences. - Kevin da Silva Castanheira; Ardavan Salehi Nobandegani; A. Ross Otto (CogSci, 2019)

Contextual Effects in Value-Based Decision Making: A Resource-Rational Mechanistic Account. - Kevin da Silva Castanheira; Ardavan Salehi Nobandegani; Thomas R. Shultz; A. Ross Otto (CogSci, 2019)

How Does Current AI Stack Up Against Human Intelligence? - Kenneth D. Forbus; Dedre Gentner; John E. Laird; Thomas R. Shultz; Ardavan Salehi Nobandegani; Paul Thagard (CogSci, 2019)

On Robustness: An Undervalued Dimension of Human Rationality. - Ardavan Salehi Nobandegani; Kevin da Silva Castanheira; Timothy J. O'Donnell; Thomas R. Shultz (CogSci, 2019)

Bringing Order to the Cognitive Fallacy Zoo. - Ardavan Salehi Nobandegani; William Campoli; Thomas R. Shultz (CogSci, 2019)

A Resource-Rational Mechanistic Approach to One-shot Non-cooperative Games: The Case of Prisoner's Dilemma. - Ardavan Salehi Nobandegani; Kevin da Silva Castanheira; Thomas R. Shultz; A. Ross Otto (CogSci, 2019)

A Resource-Rational Process-Level Account of the St. Petersburg Paradox. - Ardavan Salehi Nobandegani; Kevin da Silva Castanheira; Thomas R. Shultz; A. Ross Otto (CogSci, 2019)

Decoy Effect and Violation of Betweenness in Risky Decision Making: A Resource-Rational Mechanistic Account. - Ardavan Salehi Nobandegani; Kevin da Silva Castanheira; Thomas R. Shultz; A. Ross Otto (CogSci, 2019)

Toward a Formal Science of Heuristics. - Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2019)

Neural Network Modeling of Learning to Actively Learn. - Lie Yu; Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2019)

The St. Petersburg Paradox: A Fresh Algorithmic Perspective. - Ardavan Salehi Nobandegani; Thomas R. Shultz (AAAI, 2020)

A Resource-Rational Process Model of Fairness in the Ultimatum Game. - Ardavan Salehi Nobandegani; Constance Destais; Thomas R. Shultz (CogSci, 2020)

A Resource-Rational Mechanistic Account of Human Coordination Strategies. - Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2020)

Probability Without Counting and Dividing: A Fresh Computational Perspective. - Thomas R. Shultz; Ardavan Salehi Nobandegani (CogSci, 2020)

A Resource-Rational, Process-Level Account of the St. Petersburg Paradox. - Ardavan Salehi Nobandegani; Thomas R. Shultz (Top. Cogn. Sci., 2020)

Emotions in Games: Toward a Unified Process-Level Account. - Myriam Lizotte; Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2021)

A Unified, Resource-Rational Account of the Allais and Ellsberg Paradoxes. - Ardavan Salehi Nobandegani; Thomas R. Shultz; Laurette Dubé (CogSci, 2021)

A Resource-Rational Process Model of Violation of Cumulative Independence. - Yiwei Cao; Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2022)

Cognitive Models as Simulators: The Case of Moral Decision-Making. - Ardavan Salehi Nobandegani; Thomas R. Shultz; Irina Rish (CogSci, 2022)

Modeling the Learning and Use of Probability Distributions in Chimpanzees and Humans. - Thomas R. Shultz; Ardavan Salehi Nobandegani (CogSci, 2022)

A Resource-Rational Process-Level Account of Violation of Stochastic Dominance. - Feng Xia; Ardavan Salehi Nobandegani; Thomas R. Shultz; Rahul Bhui (CogSci, 2022)

AI Agents Learn to Trust. - Ardavan Salehi Nobandegani; Irina Rish; Thomas R. Shultz (CogSci, 2023)

Neural Network Modeling of Pure Reasoning in Preverbal Infants. - Ardavan Salehi Nobandegani; Thomas R. Shultz (CogSci, 2023)

A Neural Model of Number Comparison with Robust Generalization. - Thomas R. Shultz; Ardavan Salehi Nobandegani; Zilong Wang (CogSci, 2023)

A Computational Model of Children's Learning and Use of Probabilities Across Different Ages. - Zilong Wang; Thomas R. Shultz; Ardavan Salehi Nobandegani (CogSci, 2023)

Towards Machines that Trust: AI Agents Learn to Trust in the Trust Game. - Ardavan Salehi Nobandegani; Irina Rish; Thomas R. Shultz (CoRR, 2023)

GPT-4 Understands Discourse at Least as Well as Humans Do. - Thomas R. Shultz; Jamie Wise; Ardavan Salehi Nobandegani (CoRR, 2024)