Propagating uncertainty in rule based cognitive modelling. - Thomas R. Shultz (UAI, 1990)

Simulating Stages of Human Cognitive Development With Connectionist Models. - Thomas R. Shultz (ML, 1991)

Analyzing Cross-Connected Networks. - Thomas R. Shultz; Jeffrey L. Elman (NIPS, 1993)

Analysis of Unstandardized Contributions in Cross Connected Networks. - Thomas R. Shultz; Yuriko Oshima-Takane; Yoshio Takane (NIPS, 1994)

Modeling Cognitive Development on Balance Scale Phenomena. - Thomas R. Shultz; Denis Mareschal; William C. Schmidt (Mach. Learn., 1994)

Development of Children's Seriation: A Connectionist Approach. - Denis Mareschal; Thomas R. Shultz (Connect. Sci., 1999)

Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. - Thomas R. Shultz; François Rivest (ICML, 2000)

Knowledge-Based Cascade-Correlation. - Thomas R. Shultz; François Rivest (IJCNN (5), 2000)

Knowledge-based cascade-correlation: using knowledge to speed learning. - Thomas R. Shultz; François Rivest (Connect. Sci., 2001)

A dual-phase technique for pruning constructive networks. - Jean-Philippe Thivierge; François Rivest; Thomas R. Shultz (IJCNN, 2003)

Compositionality in a Knowledge-Based Constructive Learner. - François Rivest; Thomas R. Shultz (AAAI Technical Report (3), 2004)

Transferring domain rules in a constructive network: introducing RBCC. - Jean-Philippe Thivierge; Frédéric Dandurand; Thomas R. Shultz (IJCNN, 2004)

Neural networks discover a near-identity relation to distinguish simple syntactic forms. - Thomas R. Shultz; Alan C. Bale (Minds Mach., 2006)

A systematic comparison of flat and standard cascade-correlation using a student-teacher network approximation task. - Frédéric Dandurand; Vincent G. Berthiaume; Thomas R. Shultz (Connect. Sci., 2007)

Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc. - Thomas R. Shultz; François Rivest; László Egri; Jean-Philippe Thivierge; Frédéric Dandurand (Int. J. Humanoid Robotics, 2007)

Connectionist Models of Reinforcement, Imitation, and Instruction in Learning to Solve Complex Problems. - Frédéric Dandurand; Thomas R. Shultz (IEEE Trans. Auton. Ment. Dev., 2009)

Toddlers' transitions on non-verbal false-belief tasks involving a novel location: A constructivist connectionist model. - Vanessa C. Evans; Vincent G. Berthiaume; Thomas R. Shultz (ICDL, 2010)

Evolution of social learning strategies. - Marcel R. Montrey; Thomas R. Shultz (ICDL, 2010)

Bootstrapping syntax from morpho-phonology. - Thomas R. Shultz; Vincent G. Berthiaume; Frédéric Dandurand (ICDL, 2010)

Cascade-Correlation. - Thomas R. Shultz; Scott E. Fahlman (Encyclopedia of Machine Learning, 2010)

A Fresh Look at Vocabulary Spurts. - Frédéric Dandurand; Thomas R. Shultz (CogSci, 2011)

Ethnocentrism Maintains Cooperation, but Keeping One's Children Close Fuels It. - Artem Kaznatcheev; Thomas R. Shultz (CogSci, 2011)

Explicit Bayesian Reasoning with Frequencies, Probabilities, and Surprisals. - Heather Prime; Thomas R. Shultz (CogSci, 2011)

Understanding Psychological Development in Biological and Artificial Agents: Report on the International Conference on Development and Learning (ICDL 2010). - Thomas R. Shultz; Benjamin Kuipers (IEEE Trans. Auton. Ment. Dev., 2011)

Solving nonogram puzzles by reinforcement learning. - Frédéric Dandurand; Denis Cousineau 001; Thomas R. Shultz (CogSci, 2012)

Knowing When to Abandon Unproductive Learning. - Thomas R. Shultz; Eric Doty; Frédéric Dandurand (CogSci, 2012)

Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving. - Frédéric Dandurand; Thomas R. Shultz; Arnaud Rey (Neural Networks, 2012)

A Computational Model of Systems Memory Reconsolidation. - Peter Helfer; Thomas R. Shultz; Oliver Hardt; Karim Nader (CogSci, 2013)

Neural-network Modelling of Bayesian Learning and Inference. - Milad Kharratzadeh; Thomas R. Shultz (CogSci, 2013)

Managing Uncertainty in Rule Based Cognitive Models - Thomas R. Shultz (CoRR, 2013)

The Evolutionary Dominance of Ethnocentric Cooperation. - Max Hartshorn; Artem Kaznatcheev; Thomas R. Shultz (J. Artif. Soc. Soc. Simul., 2013)

Evolving useful delusions: Subjectively rational selfishness leads to objectively irrational cooperation. - Artem Kaznatcheev; Marcel R. Montrey; Thomas R. Shultz (CogSci, 2014)

A comprehensive model of development on the balance-scale task. - Frédéric Dandurand; Thomas R. Shultz (Cogn. Syst. Res., 2014)

Resolving Rogers' Paradox with Specialized Hybrid Learners. - Milad Kharratzadeh; Marcel R. Montrey; Alex Metz; Thomas R. Shultz (CogSci, 2015)

Probability Matching via Deterministic Neural Networks. - Milad Kharratzadeh; Thomas R. Shultz (CoCo@NIPS, 2015)

Neural implementation of probabilistic models of cognition. - Milad Kharratzadeh; Thomas R. Shultz (Cogn. Syst. Res., 2016)

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

Cascade Correlation. - Thomas R. Shultz; Scott E. Fahlman (Encyclopedia of Machine Learning and Data Mining, 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)

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

Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking. - Peter Helfer; Thomas R. Shultz (PLoS Comput. Biol., 2018)

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)

The role of AMPA receptor exchange in systems memory reconsolidation: A computational model. - Peter Helfer; Thomas R. Shultz (CogSci, 2019)

Outgroup Homogeneity Bias Causes Ingroup Favoritism. - Marcel R. Montrey; Thomas R. Shultz (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)

An Attractor Neural-network Simulation of Decision Making. - Ashley Stendel; 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)

Ingroup-Biased Copying Promotes Cultural Diversity and Complexity. - Marcel R. Montrey; 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)

A Perceptual Front-End for Probability Learning: Object Detection with YOLO. - Zhe Fan; Zilong Wang; Thomas R. Shultz (CogSci, 2023)

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)