John E. Laird

According to our database, John E. Laird authored at least 125 papers between 1983 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis.

James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A cognitive architecture theory of anticipatory thinking.

Steven J. Jones, John E. Laird

AI Mag., June, 2023

Exploiting Language Models as a Source of Knowledge for Cognitive Agents.

James R. Kirk, Robert E. Wray, John E. Laird

CoRR, 2023

Computational-Level Analysis of Constraint Compliance for General Intelligence.

Robert E. Wray, Steven J. Jones, John E. Laird

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022

Improving Language Model Prompting in Support of Semi-autonomous Task Learning.

James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird

CoRR, 2022

Evaluating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks.

James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird

CoRR, 2022

Introduction to Soar.

John E. Laird

CoRR, 2022

An Analysis and Comparison of ACT-R and Soar.

John E. Laird

CoRR, 2022

Modeling the Remote Associates Test as Retrievals from Semantic Memory.

Jule Schatz, Steven J. Jones, John E. Laird

Cogn. Sci., 2022

A Demonstration of Compositional, Hierarchical Interactive Task Learning.

Aaron Mininger, John E. Laird

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains.

Andrea Stocco, Catherine Sibert, Zoe Steine-Hanson, Natalie Koh, John E. Laird, Christian Lebiere, Paul S. Rosenbloom

NeuroImage, 2021

Language Models as a Knowledge Source for Cognitive Agents.

Robert E. Wray III, James R. Kirk, John E. Laird

CoRR, 2021

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

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response.

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

J. Artif. Gen. Intell., 2020

2019

Reports of the 2018 AAAI Fall Symposium.

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

AI Mag., 2019

Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer.

James R. Kirk, John E. Laird

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Anticipatory Thinking in Cognitive Architectures with Event Cognition Mechanisms.

Steven J. Jones, John E. Laird

Proceedings of the Short Paper Proceedings of the Workshop on Cognitive Systems for Anticipatory Thinking (COGSAT 2019) co-located with the AAAI Fall Symposium 2019, 2019

2018

Reports of the AAAI 2017 Fall Symposium Series.

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

AI Mag., 2018

Empirical Evidence from Neuroimaging Data for a Standard Model of the Mind.

Andrea Stocco, John E. Laird, Christian Lebiere, Paul S. Rosenbloom

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Interactively Learning a Blend of Goal-Based and Procedural Tasks.

Aaron Mininger, John E. Laird

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents.

John E. Laird, Shiwali Mohan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Interactive Task Learning.

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

IEEE Intell. Syst., 2017

A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics.

John E. Laird, Christian Lebiere, Paul S. Rosenbloom

AI Mag., 2017

Grounding Language for Interactive Task Learning.

Peter Lindes, Aaron Mininger, James R. Kirk, John E. Laird

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

Cognitive Modeling Approaches to Language Comprehension Using Construction Grammar.

Peter Lindes, John E. Laird

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds.

Shiwali Mohan, Aaron Mininger, John E. Laird

CoRR, 2016

A Computational Model for Situated Task Learning with Interactive Instruction.

Shiwali Mohan, James R. Kirk, John E. Laird

CoRR, 2016

A Demonstration of Interactive Task Learning.

James R. Kirk, Aaron Mininger, John E. Laird

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Agent Requirements for Effective and Efficient Task-Oriented Dialog.

Shiwali Mohan, James Roberts Kirk, Aaron Mininger, John E. Laird

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture.

Justin Li, John E. Laird

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction.

Shiwali Mohan, John E. Laird

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Effective and efficient forgetting of learned knowledge in Soar's working and procedural memories.

Nate Derbinsky, John E. Laird

Cogn. Syst. Res., 2013

A Case Study of Knowledge Integration Across Multiple Memories in Soar.

John Edwin Laird, Shiwali Mohan

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

Reflections on Abstractions for General Artificial Intelligence.

John Edwin Laird

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

Learning Integrated Symbolic and Continuous Action Models for Continuous Domains.

Joseph Zhen Ying Xu, John E. Laird

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Preemptive Strategies for Overcoming the Forgetting of Goals.

Justin Li, John E. Laird

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Enhancing intelligent agents with episodic memory.

Andrew M. Nuxoll, John E. Laird

Cogn. Syst. Res., 2012

Algorithms for scaling in a general episodic memory.

Nate Derbinsky, Justin Li, John E. Laird

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Learning Grounded Language through Situated Interactive Instruction.

Shiwali Mohan, Aaron Mininger, James R. Kirk, John E. Laird

Proceedings of the Robots Learning Interactively from Human Teachers, 2012

Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents.

Shiwali Mohan, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Functional Interactions Between Memory and Recognition Judgments.

Justin Li, Nate Derbinsky, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Cognitive Robotics Using the Soar Cognitive Architecture.

John Edwin Laird, Keegan R. Kinkade, Shiwali Mohan, Joseph Z. Xu

Proceedings of the Cognitive Robotics, 2012

A Multi-Domain Evaluation of Scaling in a General Episodic Memory.

Nate Derbinsky, Justin Li, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Exploring the Functional Advantages of Spatial and Visual Cognition From an Architectural Perspective.

Scott D. Lathrop, Samuel Wintermute, John E. Laird

Top. Cogn. Sci., 2011

Learning to use episodic memory.

Nicholas A. Gorski, John E. Laird

Cogn. Syst. Res., 2011

An Object-Oriented Approach to Reinforcement Learning in an Action Game.

Shiwali Mohan, John E. Laird

Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

Towards Situated, Interactive, Instructable Agents in a Cognitive Architecture.

Shiwali Mohan, John E. Laird

Proceedings of the Advances in Cognitive Systems, 2011

Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions.

Justin Li, John E. Laird

Proceedings of the Advances in Cognitive Systems, 2011

A Case Study in Integrating Probabilistic Decision Making and Learning in a Symbolic Cognitive Architecture: Soar Plays Dice.

John Edwin Laird, Nate Derbinsky, Miller Tinkerhess

Proceedings of the Advances in Cognitive Systems, 2011

Effective and Efficient Management of Soar's Working Memory via Base-Level Activation.

Nate Derbinsky, John E. Laird

Proceedings of the Advances in Cognitive Systems, 2011

Combining Learned Discrete and Continuous Action Models.

Joseph Z. Xu, John E. Laird

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task.

Nate Derbinsky, John E. Laird

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Efficient Value Function Approximation with Unsupervised Hierarchical Categorization for a Reinforcement Learning Agent.

Yongjia Wang, John E. Laird

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

Instance-Based Online Learning of Deterministic Relational Action Models.

Joseph Z. Xu, John E. Laird

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Relational Reinforcement Learning in Infinite Mario.

Shiwali Mohan, John E. Laird

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

A computational unification of cognitive behavior and emotion.

Robert P. Marinier III, John E. Laird, Richard L. Lewis

Cogn. Syst. Res., 2009

Cognitive architectures: Research issues and challenges.

Pat Langley, John E. Laird, Seth Rogers

Cogn. Syst. Res., 2009

Efficiently Implementing Episodic Memory.

Nate Derbinsky, John E. Laird

Proceedings of the Case-Based Reasoning Research and Development, 2009

2008

Extending the Soar Cognitive Architecture.

John E. Laird

Proceedings of the Artificial General Intelligence 2008, 2008

Bimodal Spatial Reasoning with Continuous Motion.

Samuel Wintermute, John E. Laird

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

SORTS: A Human-Level Approach to Real-Time Strategy AI.

Samuel Wintermute, Joseph Z. Xu, John E. Laird

Proceedings of the Third Artificial Intelligence and Interactive Digital Entertainment Conference, 2007

Predicate Projection in a Bimodal Spatial Reasoning System.

Samuel Wintermute, John E. Laird

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Extending Cognitive Architecture with Episodic Memory.

Andrew Nuxoll, John E. Laird

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Learning goal hierarchies from structured observations and expert annotations.

Tolga Könik, John E. Laird

Mach. Learn., 2006

2005

Soar-RL: integrating reinforcement learning with Soar.

Shelley Nason, John E. Laird

Cogn. Syst. Res., 2005

Incremental Learning of Procedural Planning Knowledge in Challenging Environments.

Douglas J. Pearson, John E. Laird

Comput. Intell., 2005

Synthetic Adversaries for Urban Combat Training.

Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot

AI Mag., 2005

2004

A Cognitive Model of Episodic Memory Integrated with a General Cognitive Architecture.

Andrew Nuxoll, John E. Laird

Proceedings of the International Conference on Cognitive Modelling, 2004

Integrating Reinforcement Learning with Soar.

Shelley Nason, John E. Laird

Proceedings of the International Conference on Cognitive Modelling, 2004

Toward a Comprehensive Computational Model of Emotions and Feelings.

Robert P. Marinier III, John E. Laird

Proceedings of the International Conference on Cognitive Modelling, 2004

Comprehensive Working Memory Activation in Soar.

John E. Laird, Andrew Nuxoll

Proceedings of the International Conference on Cognitive Modelling, 2004

A Hands-on Tutorial for Building Agent Models in Soar.

John E. Laird

Proceedings of the International Conference on Cognitive Modelling, 2004

AI Characters and Directors for Interactive Computer Games.

Brian Magerko, John E. Laird, Mazin Assanie, Alex Kerfoot, Devvan Stokes

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

An Architectural Approach to Ensuring Consistency in Hierarchical Execution.

Robert E. Wray III, John E. Laird

J. Artif. Intell. Res., 2003

Behavior Bounding: Toward Effective Comparisons of Agents & Humans.

Scott A. Wallace, John E. Laird

Proceedings of the IJCAI-03, 2003

2002

Guest Editors' Introduction: AI and the Entertainment Industry.

Kenneth D. Forbus, John E. Laird

IEEE Intell. Syst., 2002

Research in human-level AI using computer games.

John E. Laird

Commun. ACM, 2002

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

Proceedings of the 33rd SIGCSE Technical Symposium on Computer Science Education, 2002

2001

Using a Computer Game to Develop Advanced AI.

John E. Laird

Computer, 2001

Human-Level AI's Killer Application: Interactive Computer Games.

John E. Laird, Michael van Lent

AI Mag., 2001

AAAI 2001 Spring Symposium Series Reports.

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

AI Mag., 2001

Learning procedural knowledge through observation.

Michael van Lent, John E. Laird

Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001), 2001

It knows what you're going to do: adding anticipation to a Quakebot.

John E. Laird

Proceedings of the Fifth International Conference on Autonomous Agents, 2001

1999

Automated Intelligent Pilots for Combat Flight Simulation.

Randolph M. Jones, John E. Laird, Paul E. Nielsen, Karen J. Coulter, Patrick G. Kenny, Frank V. Koss

AI Mag., 1999

Learning Hierarchical Performance Knowledge by Observation.

Michael van Lent, John E. Laird

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS.

Scott A. Wallace, John E. Laird

Proceedings of the Intelligent Agents VI, 1999

Intelligent Agents in Computer Games.

Michael van Lent, John E. Laird, Josh Buckman, Joe Hartford, Steve Houchard, Kurt Steinkraus, Russ Tedrake

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Knowledge-based Multi-agent Coordination.

John E. Laird, Randolph M. Jones, Paul E. Nielsen

Presence Teleoperators Virtual Environ., 1998

Real-Time Intelligent Characters for a Non-Visual Simulation Environment.

Randolph M. Jones, John E. Laird, Paul E. Nielsen

Proceedings of the Computer Animation 1998, 1998

Ensuring Reasoning Consistency in Hierarchical Architectures.

Robert E. Wray III, John E. Laird

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Maintaining Consistency in Hierarchical Reasoning.

Robert E. Wray III, John E. Laird

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Automated Intelligent Pilots for Combat Flight Simulation.

Randolph M. Jones, John E. Laird, Paul E. Nielsen

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Knowledge-Directed Adaptation in Multi-Level Agents.

John E. Laird, Douglas J. Pearson, Scott B. Huffman

J. Intell. Inf. Syst., 1997

1996

Accounting for Graded Performance within a Discrete Search Framework.

Craig S. Miller, John E. Laird

Cogn. Sci., 1996

Compilation of Non-Contemporaneous Constraints.

Robert E. Wray III, John E. Laird, Randolph M. Jones

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Flexibly Instructable Agents.

Scott B. Huffman, John E. Laird

J. Artif. Intell. Res., 1995

Organizing Information in Mosaic: A Classroom Experiment.

Robert E. Wray III, Ronald Chong, Joseph Perry Phillips, Seth Rogers, William Walsh, John E. Laird

Comput. Networks ISDN Syst., 1995

Intelligent Agents for Interactive Simulation Environments.

Milind Tambe, W. Lewis Johnson, Randolph M. Jones, Frank V. Koss, John E. Laird, Paul S. Rosenbloom, Karl Schwamb

AI Mag., 1995

Toward Incremental Knowledge Correction for Agents in Complex Environments.

Douglas J. Pearson, John E. Laird

Proceedings of the Machine Intelligence 15, 1995

Multiagent Coordination in Distributed Interactive Battlefield Simulations.

John E. Laird, Randolph M. Jones, Paul E. Nielsen

Proceedings of the First International Conference on Multiagent Systems, 1995

1994

Learning from Highly Flexible Tutorial Instruction.

Scott B. Huffman, John E. Laird

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

A symbolic solution to intelligent real-time control.

Douglas J. Pearson, Scott B. Huffman, Mark B. Willis, John E. Laird, Randolph M. Jones

Robotics Auton. Syst., 1993

On Unified Theories of Cognition: A Response to the Reviews.

Paul S. Rosenbloom, John E. Laird

Artif. Intell., 1993

Learning Procedures from Interactive Natural Language Instructions.

Scott B. Huffman, John E. Laird

Proceedings of the Machine Learning, 1993

AIR-SOAR: Intelligent Multi-Level Control.

Douglas J. Pearson, Randolph M. Jones, John E. Laird

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

Instructo-Soar: Learning from Interactive Natural Language Instructions (Video Abstract).

Scott B. Huffman, John E. Laird

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

In Pursuit of Mind: The Research of Allen Newell.

John E. Laird, Paul S. Rosenbloom

AI Mag., 1992

1991

An Analysis of Soar as an Integrated Architecture.

John E. Laird, Michael Hucka, Scott B. Huffman, Paul S. Rosenbloom

SIGART Bull., 1991

Preface for Special Section on Integrated Cognitive Architectures.

John E. Laird

SIGART Bull., 1991

Robo-Soar: An integration of external interaction, planning, and learning using Soar.

John E. Laird, Eric S. Yager, Michael Hucka, Christopher M. Tuck

Robotics Auton. Syst., 1991

A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence.

Paul S. Rosenbloom, John E. Laird, Allen Newell, Robert McCarl

Artif. Intell., 1991

A Constraint-Motivated Model of Lexical Acquisition.

Craig S. Miller, John E. Laird

Proceedings of the Eighth International Workshop (ML91), 1991

1990

Correcting and Extending Domain Knowledge using Outside Guidance.

John E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck

Proceedings of the Machine Learning, 1990

Integrating, Execution, Planning, and Learning in Soar for External Environments.

John E. Laird, Paul S. Rosenbloom

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

The Fifth International Conference on Machine Learning (Report).

Usama M. Fayyad, John E. Laird, Keki B. Irani

AI Mag., 1989

1988

Recovery from Incorrect knowledge in Soar.

John E. Laird

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

SOAR: An Architecture for General Intelligence.

John E. Laird, Allen Newell, Paul S. Rosenbloom

Artif. Intell., 1987

Learning General Search Control from Outside Guidance.

Andrew R. Golding, Paul S. Rosenbloom, John E. Laird

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

Knowledge Level Learning in Soar.

Paul S. Rosenbloom, John E. Laird, Allen Newell

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986

Chunking in Soar: The Anatomy of a General Learning Mechanism.

John E. Laird, Paul S. Rosenbloom, Allen Newell

Mach. Learn., 1986

Mapping Explanation-Based Generalization onto Soar.

Paul S. Rosenbloom, John E. Laird

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985

R1-Soar: An Experiment in Knowledge-Intensive Programming in a Problem-Solving Architecture.

Paul S. Rosenbloom, John E. Laird, John P. McDermott, Allen Newell, Edmund Orciuch

IEEE Trans. Pattern Anal. Mach. Intell., 1985

1984

Towards Chunking as a General Learning Mechanism.

John E. Laird, Paul S. Rosenbloom, Allen Newell

Proceedings of the National Conference on Artificial Intelligence. Austin, 1984

1983

A Universal Weak Method: Summary of Results.

John E. Laird, Allen Newell

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983