John E. Laird

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 31

Top Venues

Publications

James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. AAAI (2024)
Robert E. Wray, James R. Kirk, John E. Laird
Eliciting Problem Specifications via Large Language Models. CoRR (2024)
Shiwali Mohan, John E. Laird
Learning Fast and Slow: A Redux of Levels of Learning in General Autonomous Intelligent Agents. AAAI Spring Symposia (2024)
James R. Kirk, Robert E. Wray, John E. Laird
Exploiting Language Models as a Source of Knowledge for Cognitive Agents. CoRR (2023)
Robert E. Wray, Steven J. Jones, John E. Laird
Computational-Level Analysis of Constraint Compliance for General Intelligence. AGI (2023)
Steven J. Jones, John E. Laird
A cognitive architecture theory of anticipatory thinking. AI Mag. 44 (2) (2023)
Robert E. Wray, Steven J. Jones, John E. Laird
Computational-level Analysis of Constraint Compliance for General Intelligence. CoRR (2023)
John E. Laird
Introduction to Soar. CoRR (2022)
James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird
Improving Language Model Prompting in Support of Semi-autonomous Task Learning. CoRR (2022)
Jule Schatz, Steven J. Jones, John E. Laird
Modeling the Remote Associates Test as Retrievals from Semantic Memory. Cogn. Sci. 46 (6) (2022)
James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird
Evaluating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks. CoRR (2022)
Aaron Mininger, John E. Laird
A Demonstration of Compositional, Hierarchical Interactive Task Learning. AAAI (2022)
John E. Laird
An Analysis and Comparison of ACT-R and Soar. CoRR (2022)
Robert E. Wray III, James R. Kirk, John E. Laird
Language Models as a Knowledge Source for Cognitive Agents. CoRR (2021)
Andrea Stocco, Catherine Sibert, Zoe Steine-Hanson, Natalie Koh, John E. Laird, Christian Lebiere, Paul S. Rosenbloom
Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains. NeuroImage 235 (2021)
Catherine Sibert, Holly Sue Hake, John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Andrea Stocco
The Role of The Basal Ganglia in the Human Cognitive Architecture: A Dynamic Causal Modeling Comparison Across Tasks and Individuals. CogSci (2021)
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
Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. J. Artif. Gen. Intell. 11 (2) (2020)
Kenneth D. Forbus, Dedre Gentner, John E. Laird, Thomas R. Shultz, Ardavan Salehi Nobandegani, Paul Thagard
How Does Current AI Stack Up Against Human Intelligence? CogSci (2019)
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
Reports of the 2018 AAAI Fall Symposium. AI Mag. 40 (2) (2019)
James R. Kirk, John E. Laird
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer. IJCAI (2019)
Andrea Stocco, John E. Laird, Christian Lebiere, Paul S. Rosenbloom
Empirical Evidence from Neuroimaging Data for a Standard Model of the Mind. CogSci (2018)
John E. Laird, Shiwali Mohan
Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. AAAI (2018)
Aaron Mininger, John E. Laird
Interactively Learning a Blend of Goal-Based and Procedural Tasks. AAAI (2018)
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
Reports of the AAAI 2017 Fall Symposium Series. AI Mag. 39 (2) (2018)
Peter Lindes, John E. Laird
Cognitive Modeling Approaches to Language Comprehension Using Construction Grammar. AAAI Spring Symposia (2017)
Peter Lindes, Aaron Mininger, James R. Kirk, John E. Laird
Grounding Language for Interactive Task Learning. RoboNLP@ACL (2017)
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
Interactive Task Learning. IEEE Intell. Syst. 32 (4) (2017)
John E. Laird, Christian Lebiere, Paul S. Rosenbloom
A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. AI Mag. 38 (4) (2017)
Shiwali Mohan, Aaron Mininger, John E. Laird
Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds. CoRR (2016)
James R. Kirk, Aaron Mininger, John E. Laird
A Demonstration of Interactive Task Learning. IJCAI (2016)
Shiwali Mohan, James R. Kirk, John E. Laird
A Computational Model for Situated Task Learning with Interactive Instruction. CoRR (2016)
Justin Li, John E. Laird
Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture. AAAI (2015)
Shiwali Mohan, James Roberts Kirk, Aaron Mininger, John E. Laird
Agent Requirements for Effective and Efficient Task-Oriented Dialog. AAAI Fall Symposia (2015)
Shiwali Mohan, John E. Laird
Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction. AAAI (2014)
Justin Li, John E. Laird
Preemptive Strategies for Overcoming the Forgetting of Goals. AAAI (2013)
Nate Derbinsky, John E. Laird
Effective and efficient forgetting of learned knowledge in Soar's working and procedural memories. Cogn. Syst. Res. 24 (2013)
Joseph Zhen Ying Xu, John E. Laird
Learning Integrated Symbolic and Continuous Action Models for Continuous Domains. AAAI (2013)
Shiwali Mohan, John E. Laird
Relational Reinforcement Learning in Infinite Mario CoRR (2012)
Nate Derbinsky, Justin Li, John E. Laird
Algorithms for scaling in a general episodic memory. AAMAS (2012)
Nate Derbinsky, Justin Li, John E. Laird
A Multi-Domain Evaluation of Scaling in a General Episodic Memory. AAAI (2012)
Shiwali Mohan, John E. Laird
Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents. AAAI (2012)
Justin Li, Nate Derbinsky, John E. Laird
Functional Interactions Between Memory and Recognition Judgments. AAAI (2012)
Shiwali Mohan, Aaron Mininger, James R. Kirk, John E. Laird
Learning Grounded Language through Situated Interactive Instruction. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers (2012)
Andrew M. Nuxoll, John E. Laird
Enhancing intelligent agents with episodic memory. Cogn. Syst. Res. (2012)
Joseph Z. Xu, John E. Laird
Combining Learned Discrete and Continuous Action Models. AAAI (2011)
Shiwali Mohan, John E. Laird
An Object-Oriented Approach to Reinforcement Learning in an Action Game. AIIDE (2011)
Scott D. Lathrop, Samuel Wintermute, John E. Laird
Exploring the Functional Advantages of Spatial and Visual Cognition From an Architectural Perspective. Top. Cogn. Sci. 3 (4) (2011)
Justin Li, John E. Laird
Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions. AAAI Fall Symposium: Advances in Cognitive Systems (2011)
Shiwali Mohan, John E. Laird
Towards Situated, Interactive, Instructable Agents in a Cognitive Architecture. AAAI Fall Symposium: Advances in Cognitive Systems (2011)
Nate Derbinsky, John E. Laird
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. AAAI (2011)
Nicholas A. Gorski, John E. Laird
Learning to use episodic memory. Cogn. Syst. Res. 12 (2) (2011)
John E. Laird, Robert E. Wray
An Architectural Approach to Ensuring Consistency in Hierarchical Execution CoRR (2011)
Nate Derbinsky, John E. Laird
Effective and Efficient Management of Soar's Working Memory via Base-Level Activation. AAAI Fall Symposium: Advances in Cognitive Systems (2011)
Shiwali Mohan, John E. Laird
Relational Reinforcement Learning in Infinite Mario. AAAI (2010)
Joseph Z. Xu, John E. Laird
Instance-Based Online Learning of Deterministic Relational Action Models. AAAI (2010)
Yongjia Wang, John E. Laird
Efficient Value Function Approximation with Unsupervised Hierarchical Categorization for a Reinforcement Learning Agent. IAT (2010)
Pat Langley, John E. Laird, Seth Rogers
Cognitive architectures: Research issues and challenges. Cogn. Syst. Res. 10 (2) (2009)
Nate Derbinsky, John E. Laird
Efficiently Implementing Episodic Memory. ICCBR (2009)
Robert P. Marinier III, John E. Laird, Richard L. Lewis
A computational unification of cognitive behavior and emotion. Cogn. Syst. Res. 10 (1) (2009)
Samuel Wintermute, John E. Laird
Bimodal Spatial Reasoning with Continuous Motion. AAAI (2008)
John E. Laird
Extending the Soar Cognitive Architecture. AGI (2008)
Samuel Wintermute, John E. Laird
Predicate Projection in a Bimodal Spatial Reasoning System. AAAI (2007)
Andrew Nuxoll, John E. Laird
Extending Cognitive Architecture with Episodic Memory. AAAI (2007)
Samuel Wintermute, Joseph Z. Xu, John E. Laird
SORTS: A Human-Level Approach to Real-Time Strategy AI. AIIDE (2007)
Tolga Könik, John E. Laird
Learning goal hierarchies from structured observations and expert annotations. Mach. Learn. 64 (1-3) (2006)
Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot
Synthetic Adversaries for Urban Combat Training. AI Mag. 26 (3) (2005)
Douglas J. Pearson, John E. Laird
Incremental Learning of Procedural Planning Knowledge in Challenging Environments. Comput. Intell. 21 (4) (2005)
Shelley Nason, John E. Laird
Soar-RL: integrating reinforcement learning with Soar. Cogn. Syst. Res. 6 (1) (2005)
Tolga Könik, John E. Laird
Learning Goal Hierarchies from Structured Observations and Expert Annotations. ILP (2004)
Shelley Nason, John E. Laird
Integrating Reinforcement Learning with Soar. ICCM (2004)
Andrew Nuxoll, John E. Laird
A Cognitive Model of Episodic Memory Integrated with a General Cognitive Architecture. ICCM (2004)
John E. Laird
A Hands-on Tutorial for Building Agent Models in Soar. ICCM (2004)
Brian Magerko, John E. Laird, Mazin Assanie, Alex Kerfoot, Devvan Stokes
AI Characters and Directors for Interactive Computer Games. AAAI (2004)
John E. Laird, Andrew Nuxoll
Comprehensive Working Memory Activation in Soar. ICCM (2004)
Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot
Synthetic Adversaries for Urban Combat Training. AAAI (2004)
Robert P. Marinier III, John E. Laird
Toward a Comprehensive Computational Model of Emotions and Feelings. ICCM (2004)
Scott A. Wallace, John E. Laird
Behavior Bounding: Toward Effective Comparisons of Agents & Humans. IJCAI (2003)
Robert E. Wray III, John E. Laird
An Architectural Approach to Ensuring Consistency in Hierarchical Execution. J. Artif. Intell. Res. 19 (2003)
John E. Laird
Research in human-level AI using computer games. Commun. ACM 45 (1) (2002)
Kenneth D. Forbus, John E. Laird
Guest Editors' Introduction: AI and the Entertainment Industry. IEEE Intell. Syst. 17 (4) (2002)
Bruce S. Elenbogen, John E. Laird, Richard J. Enbody, Chris McDonald, Peter B. Henderson, Richard Nau, Steven L. Tanimoto
Mathematics preparation for undergraduate degrees in computer science. SIGCSE (2002)
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
AAAI 2001 Spring Symposium Series Reports. AI Mag. 22 (3) (2001)
John E. Laird, Michael van Lent
Human-Level AI's Killer Application: Interactive Computer Games. AI Mag. 22 (2) (2001)
John E. Laird
Using a Computer Game to Develop Advanced AI. Computer 34 (7) (2001)
Michael van Lent, John E. Laird
Learning procedural knowledge through observation. K-CAP (2001)
John E. Laird
It knows what you're going to do: adding anticipation to a Quakebot. Agents (2001)
John E. Laird, Michael van Lent
Human-Level AI's Killer Application: Interactive Computer Games. AAAI/IAAI (2000)
Michael van Lent, John E. Laird, Josh Buckman, Joe Hartford, Steve Houchard, Kurt Steinkraus, Russ Tedrake
Intelligent Agents in Computer Games. AAAI/IAAI (1999)
Scott A. Wallace, John E. Laird
Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS. ATAL (1999)
Randolph M. Jones, John E. Laird, Paul E. Nielsen, Karen J. Coulter, Patrick G. Kenny, Frank V. Koss
Automated Intelligent Pilots for Combat Flight Simulation. AI Mag. 20 (1) (1999)
Michael van Lent, John E. Laird
Learning Hierarchical Performance Knowledge by Observation. ICML (1999)
Robert E. Wray III, John E. Laird
Ensuring Reasoning Consistency in Hierarchical Architectures. AAAI/IAAI (1998)
Randolph M. Jones, John E. Laird, Paul E. Nielsen
Automated Intelligent Pilots for Combat Flight Simulation. AAAI/IAAI (1998)
John E. Laird, Randolph M. Jones, Paul E. Nielsen
Knowledge-based Multi-agent Coordination. Presence Teleoperators Virtual Environ. 7 (6) (1998)
Robert E. Wray III, John E. Laird
Maintaining Consistency in Hierarchical Reasoning. AAAI/IAAI (1998)
Randolph M. Jones, John E. Laird, Paul E. Nielsen
Real-Time Intelligent Characters for a Non-Visual Simulation Environment. CA (1998)
John E. Laird, Douglas J. Pearson, Scott B. Huffman
Knowledge-Directed Adaptation in Multi-Level Agents. J. Intell. Inf. Syst. 9 (3) (1997)
Robert E. Wray III, John E. Laird, Randolph M. Jones
Compilation of Non-Contemporaneous Constraints. AAAI/IAAI, Vol. 1 (1996)
Craig S. Miller, John E. Laird
Accounting for Graded Performance within a Discrete Search Framework. Cogn. Sci. 20 (4) (1996)
Milind Tambe, W. Lewis Johnson, Randolph M. Jones, Frank V. Koss, John E. Laird, Paul S. Rosenbloom, Karl Schwamb
Intelligent Agents for Interactive Simulation Environments. AI Mag. 16 (1) (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

John E. Laird