| 2026 | AAAI | Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints. | Steven J. Jones, Robert E. Wray, John E. Laird |
| 2024 | AAAI | Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. | James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird |
| 2022 | AAAI | A Demonstration of Compositional, Hierarchical Interactive Task Learning. | Aaron Mininger, John E. Laird |
| 2021 | CogSci | The Role of The Basal Ganglia in the Human Cognitive Architecture: A Dynamic Causal Modeling Comparison Across Tasks and Individuals. | Catherine Sibert, Holly Sue Hake, John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Andrea Stocco |
| 2019 | CogSci | 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 |
| 2019 | IJCAI | Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer. | James R. Kirk, John E. Laird |
| 2018 | AAAI | Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. | John E. Laird, Shiwali Mohan |
| 2018 | AAAI | Interactively Learning a Blend of Goal-Based and Procedural Tasks. | Aaron Mininger, John E. Laird |
| 2018 | CogSci | Empirical Evidence from Neuroimaging Data for a Standard Model of the Mind. | Andrea Stocco, John E. Laird, Christian Lebiere, Paul S. Rosenbloom |
| 2017 | ACL | Grounding Language for Interactive Task Learning. | Peter Lindes, Aaron Mininger, James R. Kirk, John E. Laird |
| 2016 | IJCAI | A Demonstration of Interactive Task Learning. | James R. Kirk, Aaron Mininger, John E. Laird |
| 2015 | AAAI | Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture. | Justin Li, John E. Laird |
| 2014 | AAAI | Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction. | Shiwali Mohan, John E. Laird |
| 2013 | AAAI | Preemptive Strategies for Overcoming the Forgetting of Goals. | Justin Li, John E. Laird |
| 2013 | AAAI | Learning Integrated Symbolic and Continuous Action Models for Continuous Domains. | Joseph Zhen Ying Xu, John E. Laird |
| 2012 | AAAI | A Multi-Domain Evaluation of Scaling in a General Episodic Memory. | Nate Derbinsky, Justin Li, John E. Laird |
| 2012 | AAAI | Functional Interactions Between Memory and Recognition Judgments. | Justin Li, Nate Derbinsky, John E. Laird |
| 2012 | AAAI | Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents. | Shiwali Mohan, John E. Laird |
| 2012 | AAMAS | Algorithms for scaling in a general episodic memory. | Nate Derbinsky, Justin Li, John E. Laird |
| 2011 | AAAI | A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. | Nate Derbinsky, John E. Laird |
| 2011 | AAAI | Combining Learned Discrete and Continuous Action Models. | Joseph Z. Xu, John E. Laird |
| 2010 | AAAI | Relational Reinforcement Learning in Infinite Mario. | Shiwali Mohan, John E. Laird |
| 2010 | AAAI | Instance-Based Online Learning of Deterministic Relational Action Models. | Joseph Z. Xu, John E. Laird |
| 2009 | ICCBR | Efficiently Implementing Episodic Memory. | Nate Derbinsky, John E. Laird |
| 2008 | AAAI | Bimodal Spatial Reasoning with Continuous Motion. | Samuel Wintermute, John E. Laird |
| 2007 | AAAI | Extending Cognitive Architecture with Episodic Memory. | Andrew Nuxoll, John E. Laird |
| 2007 | AAAI | Predicate Projection in a Bimodal Spatial Reasoning System. | Samuel Wintermute, John E. Laird |
| 2004 | AAAI | AI Characters and Directors for Interactive Computer Games. | Brian Magerko, John E. Laird, Mazin Assanie, Alex Kerfoot, Devvan Stokes |
| 2004 | AAAI | Synthetic Adversaries for Urban Combat Training. | Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot |
| 2004 | ILP | Learning Goal Hierarchies from Structured Observations and Expert Annotations. | Tolga Knik, John E. Laird |
| 2003 | IJCAI | Behavior Bounding: Toward Effective Comparisons of Agents & Humans. | Scott A. Wallace, John E. Laird |
| 2002 | SIGCSE | Mathematics preparation for undergraduate degrees in computer science. | Bruce S. Elenbogen, John E. Laird, Richard J. Enbody, Chris McDonald, Peter B. Henderson, Richard Nau, Steven L. Tanimoto |
| 2000 | AAAI | Human-Level AI's Killer Application: Interactive Computer Games. | John E. Laird, Michael van Lent |
| 1999 | AAAI | Intelligent Agents in Computer Games. | Michael van Lent, John E. Laird, Josh Buckman, Joe Hartford, Steve Houchard, Kurt Steinkraus, Russ Tedrake |
| 1999 | ICML | Learning Hierarchical Performance Knowledge by Observation. | Michael van Lent, John E. Laird |
| 1998 | AAAI | Automated Intelligent Pilots for Combat Flight Simulation. | Randolph M. Jones, John E. Laird, Paul E. Nielsen |
| 1998 | AAAI | Maintaining Consistency in Hierarchical Reasoning. | Robert E. Wray III, John E. Laird |
| 1998 | AAAI | Ensuring Reasoning Consistency in Hierarchical Architectures. | Robert E. Wray III, John E. Laird |
| 1996 | AAAI | Compilation of Non-Contemporaneous Constraints. | Robert E. Wray III, John E. Laird, Randolph M. Jones |
| 1994 | AAAI | Learning from Highly Flexible Tutorial Instruction. | Scott B. Huffman, John E. Laird |
| 1993 | AAAI | Instructo-Soar: Learning from Interactive Natural Language Instructions (Video Abstract). | Scott B. Huffman, John E. Laird |
| 1993 | AAAI | AIR-SOAR: Intelligent Multi-Level Control. | Douglas J. Pearson, Randolph M. Jones, John E. Laird |
| 1993 | ICML | Learning Procedures from Interactive Natural Language Instructions. | Scott B. Huffman, John E. Laird |
| 1991 | ICML | A Constraint-Motivated Model of Lexical Acquisition. | Craig S. Miller, John E. Laird |
| 1990 | AAAI | Integrating, Execution, Planning, and Learning in Soar for External Environments. | John E. Laird, Paul S. Rosenbloom |
| 1990 | ICML | Correcting and Extending Domain Knowledge using Outside Guidance. | John E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck |
| 1988 | AAAI | Recovery from Incorrect knowledge in Soar. | John E. Laird |
| 1987 | AAAI | Knowledge Level Learning in Soar. | Paul S. Rosenbloom, John E. Laird, Allen Newell |
| 1987 | IJCAI | Learning General Search Control from Outside Guidance. | Andrew R. Golding, Paul S. Rosenbloom, John E. Laird |
| 1986 | AAAI | Mapping Explanation-Based Generalization onto Soar. | Paul S. Rosenbloom, John E. Laird |
| 1984 | AAAI | Towards Chunking as a General Learning Mechanism. | John E. Laird, Paul S. Rosenbloom, Allen Newell |
| 1983 | IJCAI | A Universal Weak Method: Summary of Results. | John E. Laird, Allen Newell |