Pat Langley - RankMe

185 papers A* 49A 7B 18Misc 3Journal 62Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Rational Account of Categorization Based on Information Theory. CoRR Christopher J. MacLellan, Karthik Singaravadivelan, Xin Lian, Zekun Wang, Pat Langley
2025	A*	`conf`	Learning Hierarchical Task Knowledge for Planning. AAAI Pat Langley
2025	J	`jnl`	Spatial representation and reasoning in an architecture for embodied agents. Spatial Cogn. Comput. Pat Langley, Edward P. Katz
2024	A*	`conf`	Integrated Systems for Computational Scientific Discovery. AAAI Pat Langley
2022	—	`conf`	Abstract: The Computational Gauntlet of Human-Like Learning 59Pat Langley. HLC Pat Langley
2022	J	`jnl`	Efficient Induction of Language Models Via Probabilistic Concept Formation. CoRR Christopher J. MacLellan, Peter Matsakis, Pat Langley
2022	—	`conf`	Extending an Embodied Cognitive Architecture with Spatial Representation and Reasoning. HLC Pat Langley, Edward P. Katz
2022	B	`conf`	Learning Hierarchical Problem Networks for Knowledge-Based Planning. ILP Pat Langley
2022	—	`conf`	Representing and Processing Emotions in a Cognitive Architecture. HLC Pat Langley
2022	A*	`conf`	The Computational Gauntlet of Human-Like Learning. AAAI Pat Langley
2021	J	`jnl`	Agents of Exploration and Discovery. AI Mag. Pat Langley
2020	A*	`conf`	Open-World Learning for Radically Autonomous Agents. AAAI Pat Langley
2019	A*	`conf`	An Integrative Framework for Artificial Intelligence Education. AAAI Pat Langley
2019	A*	`conf`	Explainable, Normative, and Justified Agency. AAAI Pat Langley
2018	—	`conf`	Creating and Using Tools in a Hybrid Cognitive Architecture. AAAI Spring Symposia Dongkyu Choi, Pat Langley, Son Thanh To
2018	J	`jnl`	Evolution of the Icarus Cognitive Architecture. Cogn. Syst. Res. Dongkyu Choi, Pat Langley
2018	—	`conf`	Representation, Use, and Acquisition of Affordances in Cognitive Systems. AAAI Spring Symposia Pat Langley, Mohan Sridharan, Ben Meadows
2017	A*	`conf`	Explainable Agency for Intelligent Autonomous Systems. AAAI Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi
2017	A*	`conf`	Flexible Model Induction through Heuristic Process Discovery. AAAI Pat Langley, Adam Arvay
2017	J	`jnl`	Interactive Cognitive Systems and Social Intelligence. IEEE Intell. Syst. Pat Langley
2017	A*	`conf`	Progress and Challenges in Research on Cognitive Architectures. AAAI Pat Langley
2017	B	`conf`	Symposium on Problem Solving and Goal-Directed Sequential Activity. CogSci Pat Langley, Richard Cooper
2016	B	`conf`	An Architectural Account of Variation in Problem Solving and Execution. CogSci Pat Langley
2015	B	`conf`	An Integrated Account of Explanation and Question Answering. CogSci Ben Leon Meadows, Richard Heald, Pat Langley
2015	A*	`conf`	Dialogue Understanding in a Logic of Action and Belief. AAAI Alfredo Gabaldon, Pat Langley
2015	A*	`conf`	Heuristic Induction of Rate-Based Process Models. AAAI Pat Langley, Adam Arvay
2015	J	`jnl`	Problem Map: An Ontological Framework for a Computational Study of Problem Formulation in Engineering Design. J. Comput. Inf. Sci. Eng. Mahmoud Dinar, Andreea Danielescu, Christopher MacLellan, Jami J. Shah, Pat Langley
2014	—	`conf`	Knowledge-Guided Interpretation and Generation of Task-Oriented Dialogue. IWSDS Alfredo Gabaldon, Pat Langley, Ben Meadows, Ted Selker
2014	A*	`conf`	Social Planning: Achieving Goals by Altering Others' Mental States. AAAI Chris Pearce, Ben Leon Meadows, Pat Langley, Mike Barley
2013	J	`jnl`	A Computational Aid for Problem Formulation in Early Conceptual Design. J. Comput. Inf. Sci. Eng. Christopher J. MacLellan, Pat Langley, Jami Shah, Mahmoud Dinar
2013	J	`jnl`	Estimating Continuous Distributions in Bayesian Classifiers CoRR George H. John, Pat Langley
2013	J	`jnl`	Induction of Selective Bayesian Classifiers CoRR Pat Langley, Stephanie Sage
2013	—	`conf`	Meta-Level and Domain-Level Processing in Task-Oriented Dialogue. AAAI Fall Symposia Alfredo Gabaldon, Pat Langley, Ben Meadows
2013	—	`conf`	Seeing Beyond Shadows: Incremental Abductive Reasoning for Plan Understanding. AAAI Workshop: Plan, Activity, and Intent Recognition Ben Leon Meadows, Pat Langley, Miranda Jane Emery
2012	—	`conf`	A Web-Based Environment for Explanatory Biological Modeling. AAAI Fall Symposium: Discovery Informatics Pat Langley, Glen Hunt
2012	A*	`conf`	Discovering Constraints for Inductive Process Modeling. AAAI Ljupco Todorovski, Will Bridewell, Pat Langley
2012	J	`jnl`	Reports of the AAAI 2011 Fall Symposia. AI Mag. Sam Blisard, Ted Carmichael, Li Ding, Tim Finin, Wende Frost, Arthur C. Graesser, Mirsad Hadzikadic, Lalana Kagal, Geert-Jan M. Kruijff, Pat Langley, James C. Lester, Deborah L. McGuinness, Jack Mostow, Panagiotis Papadakis, Fiora Pirri, Rashmi Prasad, Svetlana Stoyanchev, Pradeep Varakantham
2011	B	`conf`	A Computational Account of Everyday Abductive Inference. CogSci Will Bridewell, Pat Langley
2011	J	`jnl`	A Personalized System for Conversational Recommendations CoRR Mehmet H. Göker, Pat Langley, Cynthia A. Thompson
2011	—	`conf`	Combining Data-Driven and Knowledge-Guided Methods to Induce Interpretable Physiological Models. AAAI Spring Symposium: Computational Physiology Pat Langley, Will Bridewell
2011	—	`conf`	Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction. AAAI Fall Symposium: Advances in Cognitive Systems Nishant Trivedi, Pat Langley, Paul W. Schermerhorn, Matthias Scheutz
2011	B	`conf`	Exploring Moral Reasoning in a Cognitive Architecture. CogSci Wayne Iba, Pat Langley
2011	—	`conf`	Improving Acquisition of Teleoreactive Logic Programs through Representation Change. AAAI Fall Symposium: Advances in Cognitive Systems Nan Li, David J. Stracuzzi, Pat Langley
2011	J	`jnl`	The changing science of machine learning. Mach. Learn. Pat Langley
2011	B	`conf`	Tutorial on the Icarus Cognitive Architecture. CogSci Pat Langley, Dongkyu Choi
2010	—	`conf`	A Command Language for Taskable Virtual Agents. AIIDE Pat Langley, Nishant Trivedi, Matt Banister
2010	A*	`conf`	Integrated Systems for Inducing Spatio-Temporal Process Models. AAAI Chunki Park, Will Bridewell, Pat Langley
2010	J	`jnl`	Two Kinds of Knowledge in Scientific Discovery. Top. Cogn. Sci. Will Bridewell, Pat Langley
2009	J	`jnl`	Acquisition of hierarchical reactive skills in a unified cognitive architecture. Cogn. Syst. Res. Pat Langley, Dongkyu Choi, Seth Rogers
2009	J	`jnl`	Cognitive architectures: Research issues and challenges. Cogn. Syst. Res. Pat Langley, John E. Laird, Seth Rogers
2009	J	`jnl`	Skill transfer through goal-driven representation mapping. Cogn. Syst. Res. Tolga Könik, Paul O'Rorke, Daniel G. Shapiro, Dongkyu Choi, Negin Nejati, Pat Langley
2008	J	`jnl`	Ability, Breadth, and Parsimony in Computational Models of Higher-Order Cognition. Cogn. Sci. Nicholas L. Cassimatis, Paul Bello, Pat Langley
2008	—	`conf`	CASTLE: A Framework for Integrating Cognitive Models into Virtual Environments. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Art Pope, Pat Langley
2008	J	`jnl`	Inductive process modeling. Mach. Learn. Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski
2007	—	`conf`	A Believable Agent for First-Person Shooter Games. AIIDE Dongkyu Choi, Tolga Könik, Negin Nejati, Chunki Park, Pat Langley
2007	—	`ch.`	Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge Saso Dzeroski, Pat Langley, Ljupco Todorovski
2007	—	`ch.`	Discovering Communicable Models from Earth Science Data. Computational Discovery of Scientific Knowledge Mark Schwabacher, Pat Langley, Christopher Potter, Steven A. Klooster, Alicia Torregrosa
2007	—	`ch.`	Quantitative Revision of Scientific Models. Computational Discovery of Scientific Knowledge Kazumi Saito, Pat Langley
2006	A*	`conf`	A Unified Cognitive Architecture for Physical Agents. AAAI Pat Langley, Dongkyu Choi
2006	J	`jnl`	An interactive environment for the modeling and discovery of scientific knowledge. Int. J. Hum. Comput. Stud. Will Bridewell, Javier Nicolás Sánchez, Pat Langley, Dorrit Billman
2006	J	`jnl`	Cognitive Architectures and General Intelligent Systems. AI Mag. Pat Langley
2006	J	`jnl`	Constructing explanatory process models from biological data and knowledge. Artif. Intell. Medicine Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille
2006	—	`conf`	Learning Process Models with Missing Data. ECML Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett
2006	J	`jnl`	Learning Recursive Control Programs from Problem Solving. J. Mach. Learn. Res. Pat Langley, Dongkyu Choi
2006	A*	`conf`	Learning hierarchical task networks by observation. ICML Negin Nejati, Pat Langley, Tolga Könik
2006	A*	`conf`	Relational temporal difference learning. ICML Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
2005	J	`jnl`	A Constrained Architecture for Learning and Problem Solving. Comput. Intell. Randolph M. Jones, Pat Langley
2005	—	`conf`	An Adaptive Architecture for Physical Agents. Web Intelligence Pat Langley
2005	B	`conf`	Guiding Inference Through Relational Reinforcement Learning. ILP Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai
2005	A*	`conf`	Inducing Hierarchical Process Models in Dynamic Domains. AAAI Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley
2005	B	`conf`	Learning Teleoreactive Logic Programs from Problem Solving. ILP Dongkyu Choi, Pat Langley
2005	A*	`conf`	Reducing overfitting in process model induction. ICML Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski
2005	J	`jnl`	Structured program induction from behavioral traces. Syst. Comput. Jpn. Ryutaro Ichise, Daniel G. Shapiro, Pat Langley
2004	J	`jnl`	A Personalized System for Conversational Recommendations. J. Artif. Intell. Res. Cynthia A. Thompson, Mehmet H. Göker, Pat Langley
2004	A	`conf`	An Architecture for Persistent Reactive Behavior. AAMAS Dongkyu Choi, Matthew T. Kaufman, Pat Langley, Negin Nejati, Daniel G. Shapiro
2004	J	`jnl`	Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Mach. Learn. Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans
2004	J	`jnl`	Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson
2003	A	`conf`	An adaptive stock tracker for personalized trading advice. IUI Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
2003	B	`conf`	An interactive environment for scientific model construction. K-CAP Javier Nicolás Sánchez, Pat Langley
2003	B	`conf`	Discovering Ecosystem Models from Time-Series Data. Discovery Science Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo
2003	J	`jnl`	Improved Rooftop Detection in Aerial Images with Machine Learning. Mach. Learn. Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage
2003	Misc	`conf`	Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing Lonnie Chrisman, Pat Langley, Stephen D. Bay
2003	A	`conf`	Personalized trading recommendation system. IUI Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
2003	A*	`conf`	Robust Induction of Process Models from Time-Series Data. ICML Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito
2002	—	`conf`	Discovering Empirical Laws of Web Dynamics. SAINT Kazumi Saito, Pat Langley
2002	Misc	`conf`	Guiding Revision of Regulatory Models with Expression Data. Pacific Symposium on Biocomputing Jeff Shrager, Pat Langley, Andrew Pohorille
2002	A*	`conf`	Inducing Process Models from Continuous Data. ICML Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski
2002	B	`conf`	Learning Hierarchical Skills from Observation. Discovery Science Ryutaro Ichise, Daniel G. Shapiro, Pat Langley
2002	—	`conf`	Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML Stephen D. Bay, Daniel G. Shapiro, Pat Langley
2002	B	`conf`	Revising Qualitative Models of Gene Regulation. Discovery Science Kazumi Saito, Stephen D. Bay, Pat Langley
2002	J	`jnl`	Revising regulatory networks: from expression data to linear causal models. J. Biomed. Informatics Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley
2002	A*	`conf`	Separating Skills from Preference: Using Learning to Program by Reward. ICML Daniel G. Shapiro, Pat Langley
2001	B	`conf`	An Integrated Framework for Extended Discovery in Particle Physics. Discovery Science Sakir Kocabas, Pat Langley
2001	B	`conf`	Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science Saso Dzeroski, Pat Langley
2001	B	`conf`	Computational Revision of Quantitative Scientific Models. Discovery Science Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster
2001	A*	`conf`	Discovering Communicable Scientific Knowledge from Spatio-Temporal Data. ICML Mark Schwabacher, Pat Langley
2001	A*	`conf`	Generalized clustering, supervised learning, and data assignment. KDD Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo
2001	—	`conf`	The Computational Support of Scientific Discovery. Machine Learning and Its Applications Pat Langley
2001	—	`conf`	Unsupervised Learning of Probabilistic Concept Hierarchies. Machine Learning and Its Applications Wayne Iba, Pat Langley
2001	—	`conf`	Using background knowledge to speed reinforcement learning in physical agents. Agents Daniel G. Shapiro, Pat Langley, Ross D. Shachter
2000	J	`jnl`	Collaboration, Cooperation and Conflict in Dialogue Systems: Int. J. Human-Computer Studies (2000) 53, 377-392. Int. J. Hum. Comput. Stud. Sakir Kocabas, Pat Langley
2000	J	`jnl`	Computer generation of process explanations in nuclear astrophysics. Int. J. Hum. Comput. Stud. Sakir Kocabas, Pat Langley
2000	J	`jnl`	Computer generation of process explanations in nuclear astrophysics. Int. J. Hum. Comput. Stud. Sakir Kocabas, Pat Langley
2000	A*	`conf`	Crafting Papers on Machine Learning. ICML Pat Langley
2000	—	`conf`	Learning Context-Free Grammars with a Simplicity Bias. ECML Pat Langley, Sean Stromsten
2000	A*	`ed.`	Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000 ICML Pat Langley
2000	J	`jnl`	The computational support of scientific discovery. Int. J. Hum. Comput. Stud. Pat Langley
1999	—	`conf`	An Adaptive Conversational Interface for Destination Advice. CIA Pat Langley, Cynthia A. Thompson, Renee Elio, Afsaneh Haddadi
1999	—	`conf`	An Adaptive Interactive Agent for Route Advice. Agents Seth Rogers, Claude-Nicolas Fiechter, Pat Langley
1999	—	`conf`	Controlling Physical Agents Through Reactive Logic Programming. Agents Daniel G. Shapiro, Pat Langley
1999	A*	`conf`	Learning User Evaluation Functions for Adaptive Scheduling Assistance. ICML Melinda T. Gervasio, Wayne Iba, Pat Langley
1999	A*	`conf`	Mining GPS Data to Augment Road Models. KDD Seth Rogers, Pat Langley, Christopher Wilson
1999	A*	`conf`	Tractable Average-Case Analysis of Naive Bayesian Classifiers. ICML Pat Langley, Stephanie Sage
1998	A	`conf`	Generalizing over aspect and location for rooftop detection. WACV Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia
1998	—	`conf`	Learning Cooperative Lane Selection Strategies for Highways. AAAI/IAAI David E. Moriarty, Pat Langley
1998	—	`conf`	Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI Melinda T. Gervasio, Wayne Iba, Pat Langley
1998	A*	`conf`	Learning to Predict the Duration of an Automobile Trip. KDD Simon Handley, Pat Langley, Folke A. Rauscher
1998	B	`conf`	The Computer-Aided Discovery of Scientific Knowledge. Discovery Science Pat Langley
1997	J	`jnl`	Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. Pat Langley, Karl Pfleger, Mehran Sahami
1997	—	`conf`	Learning to Sense Selectively in Physical Domains. Agents Pat Langley
1997	J	`jnl`	Learning with Probabilistic Representations. Mach. Learn. Pat Langley, Gregory M. Provan, Padhraic Smyth
1997	Misc	`conf`	Machine Learning for Adaptive User Interfaces. KI Pat Langley
1997	—	`conf`	Machine Learning for Intelligent Systems. AAAI/IAAI Pat Langley
1997	J	`jnl`	Place recognition in dynamic environments. J. Field Robotics Brian Yamauchi, Pat Langley
1997	J	`jnl`	Selection of Relevant Features and Examples in Machine Learning. Artif. Intell. Avrim Blum, Pat Langley
1996	A*	`conf`	Induction of Condensed Determinations. KDD Pat Langley
1996	A*	`conf`	Static Versus Dynamic Sampling for Data Mining. KDD George H. John, Pat Langley
1996	J	`jnl`	What makes a compelling empirical evaluation? IEEE Expert Kevin Knight, Pat Langley, Paul R. Cohen
1995	J	`jnl`	Applications of Machine Learning and Rule Induction. Commun. ACM Pat Langley, Herbert A. Simon
1995	A*	`conf`	Case-Based Acquisition of Place Knowledge. ICML Pat Langley, Karl Pfleger
1995	A	`conf`	Estimating Continuous Distributions in Bayesian Classifiers. UAI George H. John, Pat Langley
1994	—	`book`	Elements of Machine Learning. Pat Langley
1994	A	`conf`	Induction of Selective Bayesian Classifiers. UAI Pat Langley, Stephanie Sage
1994	—	`conf`	Reactive and Automatic Behavior in Plan Execution. AIPS Pat Langley, Wayne Iba, Jeff Shrager
1993	J	`jnl`	An Integrated Framework for Empirical Discovery. Mach. Learn. Bernd Nordhausen, Pat Langley
1993	A*	`conf`	Average-Case Analysis of a Nearest Neighbor Algorithm. IJCAI Pat Langley, Wayne Iba
1993	—	`conf`	Induction of Recursive Bayesian Classifiers. ECML Pat Langley
1992	A*	`conf`	An Analysis of Bayesian Classifiers. AAAI Pat Langley, Wayne Iba, Kevin Thompson
1992	—	`conf`	Induction of One-Level Decision Trees. ML Wayne Iba, Pat Langley
1991	J	`jnl`	A Design for the Icarus Architecture. SIGART Bull. Pat Langley, Kathleen B. McKusick, John A. Allen, Wayne Iba, Kevin Thompson
1991	A*	`conf`	Constraints on Tree Structure in Concept Formation. IJCAI Kathleen B. McKusick, Pat Langley
1991	—	`conf`	The Acquisition of Human Planning Expertise. ML Pat Langley, John A. Allen
1991	—	`conf`	Using Background Knowledge in Concept Formation. ML Kevin Thompson, Pat Langley, Wayne Iba
1990	—	`conf`	A Robust Approach to Numeric Discovery. ML Bernd Nordhausen, Pat Langley
1990	J	`jnl`	Advice to Machine Learning Authors. Mach. Learn. Pat Langley
1989	J	`jnl`	Data-Driven Approaches to Empirical Discovery. Artif. Intell. Pat Langley, Jan M. Zytkow
1989	A*	`conf`	Improving Efficiency by Learning Intermediate Concepts. IJCAI James Wogulis, Pat Langley
1989	—	`conf`	Incremental Concept Formation with Composite Objects. ML Kevin Thompson, Pat Langley
1989	J	`jnl`	Models of Incremental Concept Formation. Artif. Intell. John H. Gennari, Pat Langley, Douglas H. Fisher
1989	J	`jnl`	Toward a Unified Science of Machine Learning. Mach. Learn. Pat Langley
1989	—	`conf`	Unifying Themes in Empirical and Explanation-Based Learning. ML Pat Langley
1989	—	`conf`	Using Concept Hierarchies to Organize Plan Knowledge. ML John A. Allen, Pat Langley
1988	—	`conf`	A Hill-Climbing Approach to Machine Discovery. ML Donald Rose, Pat Langley
1988	—	`conf`	Machine Learning as an Experimental Science. EWSL Dennis F. Kibler, Pat Langley
1988	J	`jnl`	Machine Learning as an Experimental Science. Mach. Learn. Pat Langley
1988	—	`conf`	Trading Off Simplicity and Coverage in Incremental concept Learning. ML Wayne Iba, James Wogulis, Pat Langley
1987	J	`jnl`	A computational theory of motor learning. Comput. Intell. Wayne Iba, Pat Langley
1987	J	`jnl`	Machine Learning and Concept Formation. Mach. Learn. Pat Langley
1987	J	`jnl`	Machine Learning and Grammar Induction. Mach. Learn. Pat Langley
1987	J	`jnl`	Research Papers in Machine Learning. Mach. Learn. Pat Langley
1987	A*	`conf`	Towards an Integrated Discovery System. IJCAI Bernd Nordhausen, Pat Langley
1986	J	`jnl`	Chemical Discovery as Belief Revision. Mach. Learn. Donald Rose, Pat Langley
1986	J	`jnl`	Editorial: Human and Machine Learning. Mach. Learn. Pat Langley
1986	J	`jnl`	Editorial: The Terminology of Machine Learning. Mach. Learn. Pat Langley
1986	J	`jnl`	Machine Learning and Discovery. Mach. Learn. Pat Langley, Ryszard S. Michalski
1986	J	`jnl`	On Machine Learning. Mach. Learn. Pat Langley
1986	A*	`conf`	STAHLp: Belief Revision in Scientific Discovery. AAAI Donald Rose, Pat Langley
1985	A*	`conf`	Approaches to Conceptual Clustering. IJCAI Douglas H. Fisher, Pat Langley
1985	J	`jnl`	Learning to Search: From Weak Methods to Domain-Specific Heuristics. Cogn. Sci. Pat Langley
1984	J	`jnl`	Approaches to machine learning. J. Am. Soc. Inf. Sci. Pat Langley, Jaime G. Carbonell
1984	A*	`conf`	Automated Cognitive Modeling. AAAI Pat Langley, Stellan Ohlsson
1983	A*	`conf`	Learning Effective Search Heuristics. IJCAI Pat Langley
1983	J	`jnl`	Learning Search Strategies through Discrimination. Int. J. Man Mach. Stud. Pat Langley
1983	A*	`conf`	Modeling Cognitive Development on the Balance Scale Task. IJCAI Stephanie Sage, Pat Langley
1983	J	`jnl`	Representational Issues in Learning Systems. Computer Pat Langley
1983	A*	`conf`	Three Facets of Scientific Discovery. IJCAI Pat Langley, Jan M. Zytkow, Gary L. Bradshaw, Herbert A. Simon
1982	A*	`conf`	A Model of Early Syntactic Development. ACL Pat Langley
1982	J	`jnl`	Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Mag. Derek H. Sleeman, Pat Langley, Tom M. Mitchell
1982	A	`conf`	Strategy Acquisition Governed by Experimentation. ECAI Pat Langley
1981	A*	`conf`	BACON.5: The Discovery of Conservation Laws. IJCAI Pat Langley, Gary L. Bradshaw, Herbert A. Simon
1981	J	`jnl`	Data-Driven Discovery of Physical Laws. Cogn. Sci. Pat Langley
1980	B	`conf`	A Production System Model Of First Language Acquisition. COLING Pat Langley
1979	A*	`conf`	Rediscovering Physics with BACON.3. IJCAI Pat Langley
1977	A*	`conf`	BACON: A Production System That Discovers Empirical Laws. IJCAI Pat Langley
1977	A*	`conf`	Problems in Building an Instructable Production System. IJCAI Michael D. Rychener, Charles Forgy, Pat Langley, John P. McDermott, Allen Newell, K. Ramakrishna