Langley, Pat

80 publications

AAAI 2025 Learning Hierarchical Task Knowledge for Planning Pat Langley

AAAI 2024 Integrated Systems for Computational Scientific Discovery Pat Langley

AAAI 2022 The Computational Gauntlet of Human-like Learning Pat Langley

AAAI 2020 Open-World Learning for Radically Autonomous Agents Pat Langley

AAAI 2019 An Integrative Framework for Artificial Intelligence Education Pat Langley

AAAI 2019 Explainable, Normative, and Justified Agency Pat Langley

AAAI 2017 Explainable Agency for Intelligent Autonomous Systems Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi

AAAI 2017 Flexible Model Induction Through Heuristic Process Discovery Pat Langley, Adam Arvay

AAAI 2017 Progress and Challenges in Research on Cognitive Architectures Pat Langley

AAAI 2015 Dialogue Understanding in a Logic of Action and Belief Alfredo Gabaldon, Pat Langley

AAAI 2015 Heuristic Induction of Rate-Based Process Models Pat Langley, Adam Arvay

AAAI 2014 Social Planning: Achieving Goals by Altering Others' Mental States Chris Pearce, Ben Leon Meadows, Pat Langley, Mike Barley

AAAI 2012 Discovering Constraints for Inductive Process Modeling Ljupco Todorovski, Will Bridewell, Pat Langley

MLJ 2011 The Changing Science of Machine Learning Pat Langley

AAAI 2010 Integrated Systems for Inducing Spatio-Temporal Process Models Chunki Park, Will Bridewell, Pat Langley

MLJ 2008 Inductive Process Modeling Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski

AAAI 2006 A Unified Cognitive Architecture for Physical Agents Pat Langley, Dongkyu Choi

ICML 2006 Learning Hierarchical Task Networks by Observation Negin Nejati, Pat Langley, Tolga Könik

ECML-PKDD 2006 Learning Process Models with Missing Data Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett

JMLR 2006 Learning Recursive Control Programs from Problem Solving Pat Langley, Dongkyu Choi

ICML 2006 Relational Temporal Difference Learning Nima Asgharbeygi, David J. Stracuzzi, Pat Langley

AAAI 2005 Inducing Hierarchical Process Models in Dynamic Domains Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley

ICML 2005 Reducing Overfitting in Process Model Induction Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski

JAIR 2004 A Personalized System for Conversational Recommendations Cynthia A. Thompson, Mehmet H. Göker, Pat Langley

MLJ 2004 Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans

MLJ 2003 Improved Rooftop Detection in Aerial Images with Machine Learning Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage

ICML 2003 Robust Induction of Process Models from Time-Series Data Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito

ICML 2002 Inducing Process Models from Continuous Data Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski

ECML-PKDD 2002 Revising Engineering Models: Combining Computational Discovery with Knowledge Stephen D. Bay, Daniel G. Shapiro, Pat Langley

ICML 2002 Separating Skills from Preference: Using Learning to Program by Reward Daniel G. Shapiro, Pat Langley

ICML 2001 Discovering Communicable Scientific Knowledge from Spatio-Temporal Data Mark Schwabacher, Pat Langley

ICML 2000 Crafting Papers on Machine Learning Pat Langley

ECML-PKDD 2000 Learning Context-Free Grammars with a Simplicity Bias Pat Langley, Sean Stromsten

ICML 2000 Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000 Pat Langley

ICML 1999 Learning User Evaluation Functions for Adaptive Scheduling Assistance Melinda T. Gervasio, Wayne Iba, Pat Langley

ICML 1999 Tractable Average-Case Analysis of Naive Bayesian Classifiers Pat Langley, Stephanie Sage

AAAI 1998 Learning Cooperative Lane Selection Strategies for Highways David E. Moriarty, Pat Langley

AAAI 1998 Learning to Predict User Operations for Adaptive Scheduling Melinda T. Gervasio, Wayne Iba, Pat Langley

MLJ 1997 Learning with Probabilistic Representations Pat Langley, Gregory M. Provan, Padhraic Smyth

AAAI 1997 Machine Learning for Intelligent Systems Pat Langley

ICML 1995 Case-Based Acquisition of Place Knowledge Pat Langley, Karl Pfleger

UAI 1995 Estimating Continuous Distributions in Bayesian Classifiers George H. John, Pat Langley

UAI 1994 Induction of Selective Bayesian Classifiers Pat Langley, Stephanie Sage

MLJ 1993 An Integrated Framework for Empirical Discovery Bernd Nordhausen, Pat Langley

IJCAI 1993 Average-Case Analysis of a Nearest Neighbor Algorithm Pat Langley, Wayne Iba

ECML-PKDD 1993 Induction of Recursive Bayesian Classifiers Pat Langley

AAAI 1992 An Analysis of Bayesian Classifiers Pat Langley, Wayne Iba, Kevin Thompson

ICML 1992 Induction of One-Level Decision Trees Wayne Iba, Pat Langley

IJCAI 1991 Constraints on Tree Structure in Concept Formation Kathleen B. McKusick, Pat Langley

ICML 1991 The Acquisition of Human Planning Expertise Pat Langley, John A. Allen

ICML 1991 Using Background Knowledge in Concept Formation Kevin Thompson, Pat Langley, Wayne Iba

ICML 1990 A Robust Approach to Numeric Discovery Bernd Nordhausen, Pat Langley

MLJ 1990 Advice to Machine Learning Authors Pat Langley

IJCAI 1989 Improving Efficiency by Learning Intermediate Concepts James Wogulis, Pat Langley

ICML 1989 Incremental Concept Formation with Composite Objects Kevin Thompson, Pat Langley

MLJ 1989 Toward a Unified Science of Machine Learning Pat Langley

ICML 1989 Unifying Themes in Empirical and Explanation-Based Learning Pat Langley

ICML 1989 Using Concept Hierarchies to Organize Plan Knowledge John A. Allen, Pat Langley

ICML 1988 A Hill-Climbing Approach to Machine Discovery Donald Rose, Pat Langley

MLJ 1988 Machine Learning as an Experimental Science Pat Langley

ICML 1988 Trading Off Simplicity and Coverage in Incremental Concept Learning Wayne Iba, James Wogulis, Pat Langley

MLJ 1987 Machine Learning and Concept Formation Pat Langley

MLJ 1987 Machine Learning and Grammar Induction Pat Langley

MLJ 1987 Research Papers in Machine Learning Pat Langley

IJCAI 1987 Towards an Integrated Discovery System Bernd Nordhausen, Pat Langley

MLJ 1986 Chemical Discovery as Belief Revision Donald Rose, Pat Langley

MLJ 1986 Editorial: Human and Machine Learning Pat Langley

MLJ 1986 Editorial: The Terminology of Machine Learning Pat Langley

MLJ 1986 Machine Learning and Discovery Pat Langley, Ryszard S. Michalski

MLJ 1986 On Machine Learning Pat Langley

AAAI 1986 STAHLp: Belief Revision in Scientific Discovery Donald Rose, Pat Langley

IJCAI 1985 Approaches to Conceptual Clustering Douglas H. Fisher, Pat Langley

AAAI 1984 Automated Cognitive Modeling Pat Langley, Stellan Ohlsson

IJCAI 1983 Learning Effective Search Heuristics Pat Langley

IJCAI 1983 Modeling Cognitive Development on the Balance Scale Task Stephanie Sage, Pat Langley

IJCAI 1983 Three Facets of Scientific Discovery Pat Langley, Jan M. Zytkow, Gary L. Bradshaw, Herbert A. Simon

IJCAI 1981 BACON.5: The Discovery of Conservation Laws Pat Langley, Gary L. Bradshaw, Herbert A. Simon

IJCAI 1979 Rediscovering Physics with BACON.3 Pat Langley

IJCAI 1977 BACON: A Production System That Discovers Empirical Laws Pat Langley

IJCAI 1977 Problems in Building an Instructable Production System Michael D. Rychener, Charles Forgy, Pat Langley, John P. McDermott, Allen Newell, K. Ramakrishna