Laird, John E.

48 publications

AAAI 2024 Improving Knowledge Extraction from LLMs for Task Learning Through Agent Analysis James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird

AAAI 2022 A Demonstration of Compositional, Hierarchical Interactive Task Learning Aaron Mininger, John E. Laird

IJCAI 2019 Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer James R. Kirk, John E. Laird

AAAI 2018 Interactively Learning a Blend of Goal-Based and Procedural Tasks Aaron Mininger, John E. Laird

AAAI 2018 Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents John E. Laird, Shiwali Mohan

IJCAI 2016 A Demonstration of Interactive Task Learning James R. Kirk, Aaron Mininger, John E. Laird

AAAI 2015 Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture Justin Li, John E. Laird

AAAI 2014 Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction Shiwali Mohan, John E. Laird

AAAI 2013 Learning Integrated Symbolic and Continuous Action Models for Continuous Domains Joseph Zhen Ying Xu, John E. Laird

AAAI 2013 Preemptive Strategies for Overcoming the Forgetting of Goals Justin Li, John E. Laird

AAAI 2012 A Multi-Domain Evaluation of Scaling in a General Episodic Memory Nate Derbinsky, Justin Li, John E. Laird

AAAI 2012 Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents Shiwali Mohan, John E. Laird

AAAI 2012 Functional Interactions Between Memory and Recognition Judgments Justin Li, Nate Derbinsky, John E. Laird

AAAI 2011 A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task Nate Derbinsky, John E. Laird

AAAI 2011 Combining Learned Discrete and Continuous Action Models Joseph Z. Xu, John E. Laird

AAAI 2010 Instance-Based Online Learning of Deterministic Relational Action Models Joseph Z. Xu, John E. Laird

AAAI 2010 Relational Reinforcement Learning in Infinite Mario Shiwali Mohan, John E. Laird

AAAI 2008 Bimodal Spatial Reasoning with Continuous Motion Samuel Wintermute, John E. Laird

AAAI 2007 Extending Cognitive Architecture with Episodic Memory Andrew Nuxoll, John E. Laird

AAAI 2007 Predicate Projection in a Bimodal Spatial Reasoning System Samuel Wintermute, John E. Laird

MLJ 2006 Learning Goal Hierarchies from Structured Observations and Expert Annotations Tolga Könik, John E. Laird

AAAI 2004 AI Characters and Directors for Interactive Computer Games Brian Magerko, John E. Laird, Mazin Assanie, Alex Kerfoot, Devvan Stokes

AAAI 2004 Synthetic Adversaries for Urban Combat Training Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot

JAIR 2003 An Architectural Approach to Ensuring Consistency in Hierarchical Execution Robert E. Wray Iii, John E. Laird

IJCAI 2003 Behavior Bounding: Toward Effective Comparisons of Agents & Humans Scott A. Wallace, John E. Laird

AAAI 2000 Human-Level AI's Killer Application: Interactive Computer Games John E. Laird, Michael van Lent

AAAI 1999 Intelligent Agents in Computer Games Michael van Lent, John E. Laird, Josh Buckman, Joe Hartford, Steve Houchard, Kurt Steinkraus, Russ Tedrake

ICML 1999 Learning Hierarchical Performance Knowledge by Observation Michael van Lent, John E. Laird

AAAI 1998 Automated Intelligent Pilots for Combat Flight Simulation Randolph M. Jones, John E. Laird, Paul E. Nielsen

AAAI 1998 Ensuring Reasoning Consistency in Hierarchical Architectures Robert E. Wray Iii, John E. Laird

AAAI 1998 Maintaining Consistency in Hierarchical Reasoning Robert E. Wray Iii, John E. Laird

AAAI 1996 Compilation of Non-Contemporaneous Constraints Robert E. Wray Iii, John E. Laird, Randolph M. Jones

JAIR 1995 Flexibly Instructable Agents Scott B. Huffman, John E. Laird

AAAI 1994 Learning from Highly Flexible Tutorial Instruction Scott B. Huffman, John E. Laird

AAAI 1993 AIR-SOAR: Intelligent Multi-Level Control Douglas J. Pearson, Randolph M. Jones, John E. Laird

AAAI 1993 Instructo-Soar: Learning from Interactive Natural Language Instructions (Video Abstract) Scott B. Huffman, John E. Laird

ICML 1993 Learning Procedures from Interactive Natural Language Instructions Scott B. Huffman, John E. Laird

ICML 1991 A Constraint-Motivated Model of Lexical Acquisition Craig S. Miller, John E. Laird

ICML 1990 Correcting and Extending Domain Knowledge Using Outside Guidance John E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck

AAAI 1990 Integrating, Execution, Planning, and Learning in Soar for External Environments John E. Laird, Paul S. Rosenbloom

ICML 1988 Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988 John E. Laird

AAAI 1988 Recovery from Incorrect Knowledge in Soar John E. Laird

AAAI 1987 Knowledge Level Learning in Soar Paul S. Rosenbloom, John E. Laird, Allen Newell

IJCAI 1987 Learning General Search Control from Outside Guidance Andrew R. Golding, Paul S. Rosenbloom, John E. Laird

MLJ 1986 Chunking in Soar: The Anatomy of a General Learning Mechanism John E. Laird, Paul S. Rosenbloom, Allen Newell

AAAI 1986 Mapping Explanation-Based Generalization onto Soar Paul S. Rosenbloom, John E. Laird

AAAI 1984 Towards Chunking as a General Learning Mechanism John E. Laird, Paul S. Rosenbloom, Allen Newell

IJCAI 1983 A Universal Weak Method: Summary of Results John E. Laird, Allen Newell