John E. Laird - RankMe

145 papers A* 36A 2B 5C 1Journal 63Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints. AAAI Steven J. Jones, Robert E. Wray, John E. Laird
2025	J	`jnl`	A Proposal to Extend the Common Model of Cognition with Metacognition. CoRR John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Andrea Stocco
2025	J	`jnl`	Acquiring Grounded Representations of Words with Situated Interactive Instruction. CoRR Shiwali Mohan, Aaron Mininger, James R. Kirk, John E. Laird
2025	—	`conf`	Applying Cognitive Design Patterns to General LLM Agents. AGI (2) Robert E. Wray, James R. Kirk, John E. Laird
2025	J	`jnl`	Architectural Precedents for General Agents using Large Language Models. CoRR Robert E. Wray, James R. Kirk, John E. Laird
2025	J	`jnl`	Eliciting problem specifications for LLM-Modulo cognitive systems. Cogn. Syst. Res. Robert E. Wray, James R. Kirk, John E. Laird
2025	J	`jnl`	Heuristic Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope. CoRR Robert E. Wray, Steven J. Jones, John E. Laird
2025	—	`conf`	Mapping Neural Theories of Consciousness onto the Common Model of Cognition. AGI (2) Paul S. Rosenbloom, John E. Laird, Christian Lebiere, Andrea Stocco
2025	J	`jnl`	Mapping Neural Theories of Consciousness onto the Common Model of Cognition. CoRR Paul S. Rosenbloom, John E. Laird, Christian Lebiere, Andrea Stocco
2025	J	`jnl`	Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints. CoRR Steven J. Jones, Robert E. Wray, John E. Laird
2025	—	`conf`	Requirements for Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope. AGI (2) Robert E. Wray, Steven J. Jones, John E. Laird
2024	J	`jnl`	A Proposal for Extending the Common Model of Cognition to Emotion. CoRR Paul S. Rosenbloom, John E. Laird, Christian Lebiere, Andrea Stocco, Richard H. Granger, Christian Huyck
2024	J	`jnl`	Eliciting Problem Specifications via Large Language Models. CoRR Robert E. Wray, James R. Kirk, John E. Laird
2024	A*	`conf`	Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. AAAI James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird
2024	—	`conf`	Learning Fast and Slow: A Redux of Levels of Learning in General Autonomous Intelligent Agents. AAAI Spring Symposia Shiwali Mohan, John E. Laird
2023	J	`jnl`	A cognitive architecture theory of anticipatory thinking. AI Mag. Steven J. Jones, John E. Laird
2023	—	`conf`	Computational-Level Analysis of Constraint Compliance for General Intelligence. AGI Robert E. Wray, Steven J. Jones, John E. Laird
2023	J	`jnl`	Computational-level Analysis of Constraint Compliance for General Intelligence. CoRR Robert E. Wray, Steven J. Jones, John E. Laird
2023	J	`jnl`	Exploiting Language Models as a Source of Knowledge for Cognitive Agents. CoRR James R. Kirk, Robert E. Wray, John E. Laird
2022	A*	`conf`	A Demonstration of Compositional, Hierarchical Interactive Task Learning. AAAI Aaron Mininger, John E. Laird
2022	J	`jnl`	An Analysis and Comparison of ACT-R and Soar. CoRR John E. Laird
2022	J	`jnl`	Evaluating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks. CoRR James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird
2022	J	`jnl`	Improving Language Model Prompting in Support of Semi-autonomous Task Learning. CoRR James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird
2022	J	`jnl`	Introduction to Soar. CoRR John E. Laird
2022	J	`jnl`	Modeling the Remote Associates Test as Retrievals from Semantic Memory. Cogn. Sci. Jule Schatz, Steven J. Jones, John E. Laird
2021	J	`jnl`	Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains. NeuroImage Andrea Stocco, Catherine Sibert, Zoe Steine-Hanson, Natalie Koh, John E. Laird, Christian Lebiere, Paul S. Rosenbloom
2021	J	`jnl`	Language Models as a Knowledge Source for Cognitive Agents. CoRR Robert E. Wray III, James R. Kirk, John E. Laird
2021	B	`conf`	The Role of The Basal Ganglia in the Human Cognitive Architecture: A Dynamic Causal Modeling Comparison Across Tasks and Individuals. CogSci Catherine Sibert, Holly Sue Hake, John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Andrea Stocco
2020	J	`jnl`	Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. J. Artif. Gen. Intell. Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird, Shane Legg, Peter Lindes, Tomás Mikolov, William J. Rapaport, Raúl Rojas, Marek Rosa, Peter Stone, Richard S. Sutton, Roman V. Yampolskiy, Pei Wang, Roger C. Schank, Aaron Sloman, Alan F. T. Winfield
2019	—	`conf`	Anticipatory Thinking in Cognitive Architectures with Event Cognition Mechanisms. COGSAT@AAAI Fall Symposium Steven J. Jones, John E. Laird
2019	B	`conf`	How Does Current AI Stack Up Against Human Intelligence? CogSci Kenneth D. Forbus, Dedre Gentner, John E. Laird, Thomas R. Shultz, Ardavan Salehi Nobandegani, Paul Thagard
2019	A*	`conf`	Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer. IJCAI James R. Kirk, John E. Laird
2019	J	`jnl`	Reports of the 2018 AAAI Fall Symposium. AI Mag. Aaron Adler, Prithviraj Dasgupta, Nick DePalma, Mohammed Eslami, Richard G. Freedman, John E. Laird, Christian Lebiere, Katrin S. Lohan, Ross Mead, Mark Roberts, Paul S. Rosenbloom, Emmanuel Senft, Frank Stein, Tom Williams, Kyle Hollins Wray, Fusun Yaman, Shlomo Zilberstein
2018	B	`conf`	Empirical Evidence from Neuroimaging Data for a Standard Model of the Mind. CogSci Andrea Stocco, John E. Laird, Christian Lebiere, Paul S. Rosenbloom
2018	A*	`conf`	Interactively Learning a Blend of Goal-Based and Procedural Tasks. AAAI Aaron Mininger, John E. Laird
2018	A*	`conf`	Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. AAAI John E. Laird, Shiwali Mohan
2018	J	`jnl`	Reports of the AAAI 2017 Fall Symposium Series. AI Mag. Arjuna Flenner, Marlena R. Fraune, Laura M. Hiatt, Tony Kendall, John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Frank Stein, Elin Anna Topp, Vaibhav V. Unhelkar, Ying Zhao
2017	J	`jnl`	A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. AI Mag. John E. Laird, Christian Lebiere, Paul S. Rosenbloom
2017	—	`conf`	Cognitive Modeling Approaches to Language Comprehension Using Construction Grammar. AAAI Spring Symposia Peter Lindes, John E. Laird
2017	—	`conf`	Grounding Language for Interactive Task Learning. RoboNLP@ACL Peter Lindes, Aaron Mininger, James R. Kirk, John E. Laird
2017	J	`jnl`	Interactive Task Learning. IEEE Intell. Syst. John E. Laird, Kevin A. Gluck, John R. Anderson, Kenneth D. Forbus, Odest Chadwicke Jenkins, Christian Lebiere, Dario D. Salvucci, Matthias Scheutz, Andrea Thomaz, J. Gregory Trafton, Robert E. Wray, Shiwali Mohan, James R. Kirk
2016	J	`jnl`	A Computational Model for Situated Task Learning with Interactive Instruction. CoRR Shiwali Mohan, James R. Kirk, John E. Laird
2016	A*	`conf`	A Demonstration of Interactive Task Learning. IJCAI James R. Kirk, Aaron Mininger, John E. Laird
2016	J	`jnl`	Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds. CoRR Shiwali Mohan, Aaron Mininger, John E. Laird
2015	—	`conf`	Agent Requirements for Effective and Efficient Task-Oriented Dialog. AAAI Fall Symposia Shiwali Mohan, James Roberts Kirk, Aaron Mininger, John E. Laird
2015	A*	`conf`	Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture. AAAI Justin Li, John E. Laird
2014	A*	`conf`	Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction. AAAI Shiwali Mohan, John E. Laird
2013	J	`jnl`	Effective and efficient forgetting of learned knowledge in Soar's working and procedural memories. Cogn. Syst. Res. Nate Derbinsky, John E. Laird
2013	A*	`conf`	Learning Integrated Symbolic and Continuous Action Models for Continuous Domains. AAAI Joseph Zhen Ying Xu, John E. Laird
2013	A*	`conf`	Preemptive Strategies for Overcoming the Forgetting of Goals. AAAI Justin Li, John E. Laird
2012	A*	`conf`	A Multi-Domain Evaluation of Scaling in a General Episodic Memory. AAAI Nate Derbinsky, Justin Li, John E. Laird
2012	A	`conf`	Algorithms for scaling in a general episodic memory. AAMAS Nate Derbinsky, Justin Li, John E. Laird
2012	J	`jnl`	Enhancing intelligent agents with episodic memory. Cogn. Syst. Res. Andrew M. Nuxoll, John E. Laird
2012	A*	`conf`	Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents. AAAI Shiwali Mohan, John E. Laird
2012	A*	`conf`	Functional Interactions Between Memory and Recognition Judgments. AAAI Justin Li, Nate Derbinsky, John E. Laird
2012	—	`conf`	Learning Grounded Language through Situated Interactive Instruction. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers Shiwali Mohan, Aaron Mininger, James R. Kirk, John E. Laird
2012	J	`jnl`	Relational Reinforcement Learning in Infinite Mario CoRR Shiwali Mohan, John E. Laird
2011	A*	`conf`	A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. AAAI Nate Derbinsky, John E. Laird
2011	J	`jnl`	An Architectural Approach to Ensuring Consistency in Hierarchical Execution CoRR John E. Laird, Robert E. Wray
2011	—	`conf`	An Object-Oriented Approach to Reinforcement Learning in an Action Game. AIIDE Shiwali Mohan, John E. Laird
2011	A*	`conf`	Combining Learned Discrete and Continuous Action Models. AAAI Joseph Z. Xu, John E. Laird
2011	—	`conf`	Effective and Efficient Management of Soar's Working Memory via Base-Level Activation. AAAI Fall Symposium: Advances in Cognitive Systems Nate Derbinsky, John E. Laird
2011	J	`jnl`	Exploring the Functional Advantages of Spatial and Visual Cognition From an Architectural Perspective. Top. Cogn. Sci. Scott D. Lathrop, Samuel Wintermute, John E. Laird
2011	J	`jnl`	Learning to use episodic memory. Cogn. Syst. Res. Nicholas A. Gorski, John E. Laird
2011	—	`conf`	Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions. AAAI Fall Symposium: Advances in Cognitive Systems Justin Li, John E. Laird
2011	—	`conf`	Towards Situated, Interactive, Instructable Agents in a Cognitive Architecture. AAAI Fall Symposium: Advances in Cognitive Systems Shiwali Mohan, John E. Laird
2010	—	`conf`	Efficient Value Function Approximation with Unsupervised Hierarchical Categorization for a Reinforcement Learning Agent. IAT Yongjia Wang, John E. Laird
2010	A*	`conf`	Instance-Based Online Learning of Deterministic Relational Action Models. AAAI Joseph Z. Xu, John E. Laird
2010	A*	`conf`	Relational Reinforcement Learning in Infinite Mario. AAAI Shiwali Mohan, John E. Laird
2009	J	`jnl`	A computational unification of cognitive behavior and emotion. Cogn. Syst. Res. Robert P. Marinier III, John E. Laird, Richard L. Lewis
2009	J	`jnl`	Cognitive architectures: Research issues and challenges. Cogn. Syst. Res. Pat Langley, John E. Laird, Seth Rogers
2009	C	`conf`	Efficiently Implementing Episodic Memory. ICCBR Nate Derbinsky, John E. Laird
2008	A*	`conf`	Bimodal Spatial Reasoning with Continuous Motion. AAAI Samuel Wintermute, John E. Laird
2008	—	`conf`	Extending the Soar Cognitive Architecture. AGI John E. Laird
2007	A*	`conf`	Extending Cognitive Architecture with Episodic Memory. AAAI Andrew Nuxoll, John E. Laird
2007	A*	`conf`	Predicate Projection in a Bimodal Spatial Reasoning System. AAAI Samuel Wintermute, John E. Laird
2007	—	`conf`	SORTS: A Human-Level Approach to Real-Time Strategy AI. AIIDE Samuel Wintermute, Joseph Z. Xu, John E. Laird
2006	J	`jnl`	Learning goal hierarchies from structured observations and expert annotations. Mach. Learn. Tolga Könik, John E. Laird
2006	—	`ed.`	Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, June 20-23, 2006, Marina del Rey, California, USA AIIDE John E. Laird, Jonathan Schaeffer
2005	J	`jnl`	Incremental Learning of Procedural Planning Knowledge in Challenging Environments. Comput. Intell. Douglas J. Pearson, John E. Laird
2005	—	`ed.`	Proceedings of the First Artificial Intelligence and Interactive Digital Entertainment Conference, June 1-5, 2005, Marina del Rey, California, USA AIIDE R. Michael Young, John E. Laird
2005	J	`jnl`	Soar-RL: integrating reinforcement learning with Soar. Cogn. Syst. Res. Shelley Nason, John E. Laird
2005	J	`jnl`	Synthetic Adversaries for Urban Combat Training. AI Mag. Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot
2004	—	`conf`	A Cognitive Model of Episodic Memory Integrated with a General Cognitive Architecture. ICCM Andrew Nuxoll, John E. Laird
2004	—	`conf`	A Hands-on Tutorial for Building Agent Models in Soar. ICCM John E. Laird
2004	A*	`conf`	AI Characters and Directors for Interactive Computer Games. AAAI Brian Magerko, John E. Laird, Mazin Assanie, Alex Kerfoot, Devvan Stokes
2004	—	`conf`	Comprehensive Working Memory Activation in Soar. ICCM John E. Laird, Andrew Nuxoll
2004	—	`conf`	Integrating Reinforcement Learning with Soar. ICCM Shelley Nason, John E. Laird
2004	B	`conf`	Learning Goal Hierarchies from Structured Observations and Expert Annotations. ILP Tolga Könik, John E. Laird
2004	A*	`conf`	Synthetic Adversaries for Urban Combat Training. AAAI Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot
2004	—	`conf`	Toward a Comprehensive Computational Model of Emotions and Feelings. ICCM Robert P. Marinier III, John E. Laird
2003	J	`jnl`	An Architectural Approach to Ensuring Consistency in Hierarchical Execution. J. Artif. Intell. Res. Robert E. Wray III, John E. Laird
2003	A*	`conf`	Behavior Bounding: Toward Effective Comparisons of Agents & Humans. IJCAI Scott A. Wallace, John E. Laird
2002	J	`jnl`	Guest Editors' Introduction: AI and the Entertainment Industry. IEEE Intell. Syst. Kenneth D. Forbus, John E. Laird
2002	A	`conf`	Mathematics preparation for undergraduate degrees in computer science. SIGCSE Bruce S. Elenbogen, John E. Laird, Richard J. Enbody, Chris McDonald, Peter B. Henderson, Richard Nau, Steven L. Tanimoto
2002	J	`jnl`	Research in human-level AI using computer games. Commun. ACM John E. Laird
2001	J	`jnl`	AAAI 2001 Spring Symposium Series Reports. AI Mag. Lorraine M. Fesq, Ella M. Atkins, Lina Khatib, Charles Pecheur, Paul R. Cohen, Lynn Andrea Stein, Michael van Lent, John E. Laird, Alessandro Provetti, Tran Cao Son
2001	J	`jnl`	Human-Level AI's Killer Application: Interactive Computer Games. AI Mag. John E. Laird, Michael van Lent
2001	—	`conf`	It knows what you're going to do: adding anticipation to a Quakebot. Agents John E. Laird
2001	B	`conf`	Learning procedural knowledge through observation. K-CAP Michael van Lent, John E. Laird
2001	J	`jnl`	Using a Computer Game to Develop Advanced AI. Computer John E. Laird
2000	—	`conf`	Human-Level AI's Killer Application: Interactive Computer Games. AAAI/IAAI John E. Laird, Michael van Lent
1999	J	`jnl`	Automated Intelligent Pilots for Combat Flight Simulation. AI Mag. Randolph M. Jones, John E. Laird, Paul E. Nielsen, Karen J. Coulter, Patrick G. Kenny, Frank V. Koss
1999	—	`conf`	Intelligent Agents in Computer Games. AAAI/IAAI Michael van Lent, John E. Laird, Josh Buckman, Joe Hartford, Steve Houchard, Kurt Steinkraus, Russ Tedrake
1999	A*	`conf`	Learning Hierarchical Performance Knowledge by Observation. ICML Michael van Lent, John E. Laird
1999	—	`conf`	Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS. ATAL Scott A. Wallace, John E. Laird
1998	—	`conf`	Automated Intelligent Pilots for Combat Flight Simulation. AAAI/IAAI Randolph M. Jones, John E. Laird, Paul E. Nielsen
1998	—	`conf`	Ensuring Reasoning Consistency in Hierarchical Architectures. AAAI/IAAI Robert E. Wray III, John E. Laird
1998	J	`jnl`	Knowledge-based Multi-agent Coordination. Presence Teleoperators Virtual Environ. John E. Laird, Randolph M. Jones, Paul E. Nielsen
1998	—	`conf`	Maintaining Consistency in Hierarchical Reasoning. AAAI/IAAI Robert E. Wray III, John E. Laird
1998	—	`conf`	Real-Time Intelligent Characters for a Non-Visual Simulation Environment. CA Randolph M. Jones, John E. Laird, Paul E. Nielsen
1997	J	`jnl`	Knowledge-Directed Adaptation in Multi-Level Agents. J. Intell. Inf. Syst. John E. Laird, Douglas J. Pearson, Scott B. Huffman
1996	J	`jnl`	Accounting for Graded Performance within a Discrete Search Framework. Cogn. Sci. Craig S. Miller, John E. Laird
1996	—	`conf`	Compilation of Non-Contemporaneous Constraints. AAAI/IAAI, Vol. 1 Robert E. Wray III, John E. Laird, Randolph M. Jones
1995	J	`jnl`	Flexibly Instructable Agents. CoRR Scott B. Huffman, John E. Laird
1995	J	`jnl`	Flexibly Instructable Agents. J. Artif. Intell. Res. Scott B. Huffman, John E. Laird
1995	J	`jnl`	Intelligent Agents for Interactive Simulation Environments. AI Mag. Milind Tambe, W. Lewis Johnson, Randolph M. Jones, Frank V. Koss, John E. Laird, Paul S. Rosenbloom, Karl Schwamb
1995	—	`conf`	Multiagent Coordination in Distributed Interactive Battlefield Simulations. ICMAS John E. Laird, Randolph M. Jones, Paul E. Nielsen
1995	J	`jnl`	Organizing Information in Mosaic: A Classroom Experiment. Comput. Networks ISDN Syst. Robert E. Wray III, Ronald Chong, Joseph Perry Phillips, Seth Rogers, William Walsh, John E. Laird
1995	—	`conf`	Toward Incremental Knowledge Correction for Agents in Complex Environments. Machine Intelligence 15 Douglas J. Pearson, John E. Laird
1994	A*	`conf`	Learning from Highly Flexible Tutorial Instruction. AAAI Scott B. Huffman, John E. Laird
1993	J	`jnl`	A symbolic solution to intelligent real-time control. Robotics Auton. Syst. Douglas J. Pearson, Scott B. Huffman, Mark B. Willis, John E. Laird, Randolph M. Jones
1993	A*	`conf`	AIR-SOAR: Intelligent Multi-Level Control. AAAI Douglas J. Pearson, Randolph M. Jones, John E. Laird
1993	A*	`conf`	Instructo-Soar: Learning from Interactive Natural Language Instructions (Video Abstract). AAAI Scott B. Huffman, John E. Laird
1993	A*	`conf`	Learning Procedures from Interactive Natural Language Instructions. ICML Scott B. Huffman, John E. Laird
1993	J	`jnl`	On Unified Theories of Cognition: A Response to the Reviews. Artif. Intell. Paul S. Rosenbloom, John E. Laird
1992	J	`jnl`	In Pursuit of Mind: The Research of Allen Newell. AI Mag. John E. Laird, Paul S. Rosenbloom
1991	—	`conf`	A Constraint-Motivated Model of Lexical Acquisition. ML Craig S. Miller, John E. Laird
1991	J	`jnl`	A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence. Artif. Intell. Paul S. Rosenbloom, John E. Laird, Allen Newell, Robert McCarl
1991	J	`jnl`	An Analysis of Soar as an Integrated Architecture. SIGART Bull. John E. Laird, Michael Hucka, Scott B. Huffman, Paul S. Rosenbloom
1991	J	`jnl`	Preface for Special Section on Integrated Cognitive Architectures. SIGART Bull. John E. Laird
1991	J	`jnl`	Robo-Soar: An integration of external interaction, planning, and learning using Soar. Robotics Auton. Syst. John E. Laird, Eric S. Yager, Michael Hucka, Christopher M. Tuck
1990	—	`conf`	Correcting and Extending Domain Knowledge using Outside Guidance. ML John E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck
1990	A*	`conf`	Integrating, Execution, Planning, and Learning in Soar for External Environments. AAAI John E. Laird, Paul S. Rosenbloom
1989	J	`jnl`	The Fifth International Conference on Machine Learning (Report). AI Mag. Usama M. Fayyad, John E. Laird, Keki B. Irani
1988	—	`ed.`	Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988 ICML John E. Laird
1988	A*	`conf`	Recovery from Incorrect knowledge in Soar. AAAI John E. Laird
1987	A*	`conf`	Knowledge Level Learning in Soar. AAAI Paul S. Rosenbloom, John E. Laird, Allen Newell
1987	A*	`conf`	Learning General Search Control from Outside Guidance. IJCAI Andrew R. Golding, Paul S. Rosenbloom, John E. Laird
1987	J	`jnl`	SOAR: An Architecture for General Intelligence. Artif. Intell. John E. Laird, Allen Newell, Paul S. Rosenbloom
1986	J	`jnl`	Chunking in Soar: The Anatomy of a General Learning Mechanism. Mach. Learn. John E. Laird, Paul S. Rosenbloom, Allen Newell
1986	A*	`conf`	Mapping Explanation-Based Generalization onto Soar. AAAI Paul S. Rosenbloom, John E. Laird
1985	J	`jnl`	R1-Soar: An Experiment in Knowledge-Intensive Programming in a Problem-Solving Architecture. IEEE Trans. Pattern Anal. Mach. Intell. Paul S. Rosenbloom, John E. Laird, John P. McDermott, Allen Newell, Edmund Orciuch
1984	A*	`conf`	Towards Chunking as a General Learning Mechanism. AAAI John E. Laird, Paul S. Rosenbloom, Allen Newell
1983	A*	`conf`	A Universal Weak Method: Summary of Results. IJCAI John E. Laird, Allen Newell