Pat Langley

According to our database, Pat Langley authored at least 177 papers between 1977 and 2024.

Collaborative distances:

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

2024

Integrated Systems for Computational Scientific Discovery.

Pat Langley

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

2022

Efficient Induction of Language Models Via Probabilistic Concept Formation.

Christopher J. MacLellan, Peter Matsakis, Pat Langley

CoRR, 2022

Learning Hierarchical Problem Networks for Knowledge-Based Planning.

Pat Langley

Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

Extending an Embodied Cognitive Architecture with Spatial Representation and Reasoning.

Pat Langley, Edward Katz

Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

Representing and Processing Emotions in a Cognitive Architecture.

Pat Langley

Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

Abstract: The Computational Gauntlet of Human-Like Learning 59Pat Langley.

Pat Langley

Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

The Computational Gauntlet of Human-Like Learning.

Pat Langley

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

2021

Agents of Exploration and Discovery.

Pat Langley

AI Mag., 2021

2020

Open-World Learning for Radically Autonomous Agents.

Pat Langley

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Explainable, Normative, and Justified Agency.

Pat Langley

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

An Integrative Framework for Artificial Intelligence Education.

Pat Langley

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Evolution of the Icarus Cognitive Architecture.

Dongkyu Choi, Pat Langley

Cogn. Syst. Res., 2018

Representation, Use, and Acquisition of Affordances in Cognitive Systems.

Pat Langley, Mohan Sridharan, Ben Meadows

Proceedings of the 2018 AAAI Spring Symposia, 2018

Creating and Using Tools in a Hybrid Cognitive Architecture.

Dongkyu Choi, Pat Langley, Son Thanh To

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Interactive Cognitive Systems and Social Intelligence.

Pat Langley

IEEE Intell. Syst., 2017

Symposium on Problem Solving and Goal-Directed Sequential Activity.

Pat Langley, Richard Cooper

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Explainable Agency for Intelligent Autonomous Systems.

Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Flexible Model Induction through Heuristic Process Discovery.

Pat Langley, Adam Arvay

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Progress and Challenges in Research on Cognitive Architectures.

Pat Langley

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An Architectural Account of Variation in Problem Solving and Execution.

Pat Langley

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Problem Map: An Ontological Framework for a Computational Study of Problem Formulation in Engineering Design.

Mahmoud Dinar, Andreea Danielescu, Christopher MacLellan, Jami J. Shah, Pat Langley

J. Comput. Inf. Sci. Eng., 2015

An Integrated Account of Explanation and Question Answering.

Ben Leon Meadows, Richard Heald, Pat Langley

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Heuristic Induction of Rate-Based Process Models.

Pat Langley, Adam Arvay

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

Dialogue Understanding in a Logic of Action and Belief.

Alfredo Gabaldon, Pat Langley

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

2014

Knowledge-Guided Interpretation and Generation of Task-Oriented Dialogue.

Alfredo Gabaldon, Pat Langley, Ben Meadows, Ted Selker

Proceedings of the Situated Dialog in Speech-Based Human-Computer Interaction, 2014

Social Planning: Achieving Goals by Altering Others' Mental States.

Chris Pearce, Ben Leon Meadows, Pat Langley, Mike Barley

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

2013

A Computational Aid for Problem Formulation in Early Conceptual Design.

Christopher J. MacLellan, Pat Langley, Jami Shah, Mahmoud Dinar

J. Comput. Inf. Sci. Eng., 2013

Meta-Level and Domain-Level Processing in Task-Oriented Dialogue.

Alfredo Gabaldon, Pat Langley, Ben Meadows

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

Seeing Beyond Shadows: Incremental Abductive Reasoning for Plan Understanding.

Ben Leon Meadows, Pat Langley, Miranda Jane Emery

Proceedings of the Plan, 2013

2012

Reports of the AAAI 2011 Fall Symposia.

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

AI Mag., 2012

A Web-Based Environment for Explanatory Biological Modeling.

Pat Langley, Glen Hunt

Proceedings of the Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, 2012

Discovering Constraints for Inductive Process Modeling.

Ljupco Todorovski, Will Bridewell, Pat Langley

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

2011

The changing science of machine learning.

Pat Langley

Mach. Learn., 2011

Tutorial on the Icarus Cognitive Architecture.

Pat Langley, Dongkyu Choi

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Exploring Moral Reasoning in a Cognitive Architecture.

Wayne Iba, Pat Langley

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Computational Account of Everyday Abductive Inference.

Will Bridewell, Pat Langley

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Combining Data-Driven and Knowledge-Guided Methods to Induce Interpretable Physiological Models.

Pat Langley, Will Bridewell

Proceedings of the Computational Physiology, 2011

Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction.

Nishant Trivedi, Pat Langley, Paul W. Schermerhorn, Matthias Scheutz

Proceedings of the Advances in Cognitive Systems, 2011

Improving Acquisition of Teleoreactive Logic Programs through Representation Change.

Nan Li, David J. Stracuzzi, Pat Langley

Proceedings of the Advances in Cognitive Systems, 2011

2010

Two Kinds of Knowledge in Scientific Discovery.

Will Bridewell, Pat Langley

Top. Cogn. Sci., 2010

A Command Language for Taskable Virtual Agents.

Pat Langley, Nishant Trivedi, Matt Banister

Proceedings of the Sixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2010

Integrated Systems for Inducing Spatio-Temporal Process Models.

Chunki Park, Will Bridewell, Pat Langley

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

2009

Cognitive architectures: Research issues and challenges.

Pat Langley, John E. Laird, Seth Rogers

Cogn. Syst. Res., 2009

Acquisition of hierarchical reactive skills in a unified cognitive architecture.

Pat Langley, Dongkyu Choi, Seth Rogers

Cogn. Syst. Res., 2009

Skill transfer through goal-driven representation mapping.

Tolga Könik, Paul O'Rorke, Daniel G. Shapiro, Dongkyu Choi, Negin Nejati, Pat Langley

Cogn. Syst. Res., 2009

2008

Inductive process modeling.

Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski

Mach. Learn., 2008

Ability, Breadth, and Parsimony in Computational Models of Higher-Order Cognition.

Nicholas L. Cassimatis, Paul Bello, Pat Langley

Cogn. Sci., 2008

CASTLE: A Framework for Integrating Cognitive Models into Virtual Environments.

Art Pope, Pat Langley

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2007

Discovering Communicable Models from Earth Science Data.

Mark Schwabacher, Pat Langley, Christopher Potter, Steven A. Klooster, Alicia Torregrosa

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Quantitative Revision of Scientific Models.

Kazumi Saito, Pat Langley

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Computational Discovery of Scientific Knowledge.

Saso Dzeroski, Pat Langley, Ljupco Todorovski

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

A Believable Agent for First-Person Shooter Games.

Dongkyu Choi, Tolga Könik, Negin Nejati, Chunki Park, Pat Langley

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

2006

Learning Recursive Control Programs from Problem Solving.

Pat Langley, Dongkyu Choi

J. Mach. Learn. Res., 2006

An interactive environment for the modeling and discovery of scientific knowledge.

Will Bridewell, Javier Nicolás Sánchez, Pat Langley, Dorrit Billman

Int. J. Hum. Comput. Stud., 2006

Constructing explanatory process models from biological data and knowledge.

Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille

Artif. Intell. Medicine, 2006

Cognitive Architectures and General Intelligent Systems.

Pat Langley

AI Mag., 2006

Learning hierarchical task networks by observation.

Negin Nejati, Pat Langley, Tolga Könik

Proceedings of the Machine Learning, 2006

Relational temporal difference learning.

Nima Asgharbeygi, David J. Stracuzzi, Pat Langley

Proceedings of the Machine Learning, 2006

Learning Process Models with Missing Data.

Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett

Proceedings of the Machine Learning: ECML 2006, 2006

A Unified Cognitive Architecture for Physical Agents.

Pat Langley, Dongkyu Choi

Proceedings of the Proceedings, 2006

2005

Structured program induction from behavioral traces.

Ryutaro Ichise, Daniel G. Shapiro, Pat Langley

Syst. Comput. Jpn., 2005

A Constrained Architecture for Learning and Problem Solving.

Randolph M. Jones, Pat Langley

Comput. Intell., 2005

An Adaptive Architecture for Physical Agents.

Pat Langley

Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Learning Teleoreactive Logic Programs from Problem Solving.

Dongkyu Choi, Pat Langley

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Guiding Inference Through Relational Reinforcement Learning.

Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Reducing overfitting in process model induction.

Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski

Proceedings of the Machine Learning, 2005

Inducing Hierarchical Process Models in Dynamic Domains.

Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley

Proceedings of the Proceedings, 2005

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

Mach. Learn., 2004

A Personalized System for Conversational Recommendations.

Cynthia A. Thompson, Mehmet H. Göker, Pat Langley

J. Artif. Intell. Res., 2004

Mining GPS Traces for Map Refinement.

Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson

Data Min. Knowl. Discov., 2004

An Architecture for Persistent Reactive Behavior.

Dongkyu Choi, Matthew T. Kaufman, Pat Langley, Negin Nejati, Daniel G. Shapiro

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Improved Rooftop Detection in Aerial Images with Machine Learning.

Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage

Mach. Learn., 2003

Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses.

Lonnie Chrisman, Pat Langley, Stephen D. Bay

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

An interactive environment for scientific model construction.

Javier Nicolás Sánchez, Pat Langley

Proceedings of the 2nd International Conference on Knowledge Capture (K-CAP 2003), 2003

Personalized trading recommendation system.

Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley

Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003

An adaptive stock tracker for personalized trading advice.

Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley

Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003

Robust Induction of Process Models from Time-Series Data.

Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito

Proceedings of the Machine Learning, 2003

Discovering Ecosystem Models from Time-Series Data.

Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo

Proceedings of the Discovery Science, 6th International Conference, 2003

2002

Revising regulatory networks: from expression data to linear causal models.

Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley

J. Biomed. Informatics, 2002

Discovering Empirical Laws of Web Dynamics.

Kazumi Saito, Pat Langley

Proceedings of the 2002 Symposium on Applications and the Internet (SAINT 2002), 28 January, 2002

Guiding Revision of Regulatory Models with Expression Data.

Jeff Shrager, Pat Langley, Andrew Pohorille

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

Separating Skills from Preference: Using Learning to Program by Reward.

Daniel G. Shapiro, Pat Langley

Proceedings of the Machine Learning, 2002

Inducing Process Models from Continuous Data.

Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski

Proceedings of the Machine Learning, 2002

Revising Engineering Models: Combining Computational Discovery with Knowledge.

Stephen D. Bay, Daniel G. Shapiro, Pat Langley

Proceedings of the Machine Learning: ECML 2002, 2002

Revising Qualitative Models of Gene Regulation.

Kazumi Saito, Stephen D. Bay, Pat Langley

Proceedings of the Discovery Science, 5th International Conference, 2002

Learning Hierarchical Skills from Observation.

Ryutaro Ichise, Daniel G. Shapiro, Pat Langley

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

Generalized clustering, supervised learning, and data assignment.

Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Discovering Communicable Scientific Knowledge from Spatio-Temporal Data.

Mark Schwabacher, Pat Langley

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Computational Revision of Quantitative Scientific Models.

Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

An Integrated Framework for Extended Discovery in Particle Physics.

Sakir Kocabas, Pat Langley

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

Computational Discovery of Communicable Knowledge: Symposium Report.

Saso Dzeroski, Pat Langley

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

Using background knowledge to speed reinforcement learning in physical agents.

Daniel G. Shapiro, Pat Langley, Ross D. Shachter

Proceedings of the Fifth International Conference on Autonomous Agents, 2001

Unsupervised Learning of Probabilistic Concept Hierarchies.

Wayne Iba, Pat Langley

Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000

The computational support of scientific discovery.

Pat Langley

Int. J. Hum. Comput. Stud., 2000

Collaboration, Cooperation and Conflict in Dialogue Systems: Int. J. Human-Computer Studies (2000) 53, 377-392.

Sakir Kocabas, Pat Langley

Int. J. Hum. Comput. Stud., 2000

Computer generation of process explanations in nuclear astrophysics.

Sakir Kocabas, Pat Langley

Int. J. Hum. Comput. Stud., 2000

Crafting Papers on Machine Learning.

Pat Langley

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

Learning Context-Free Grammars with a Simplicity Bias.

Pat Langley, Sean Stromsten

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999

Mining GPS Data to Augment Road Models.

Seth Rogers, Pat Langley, Christopher Wilson

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Tractable Average-Case Analysis of Naive Bayesian Classifiers.

Pat Langley, Stephanie Sage

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

Learning User Evaluation Functions for Adaptive Scheduling Assistance.

Melinda T. Gervasio, Wayne Iba, Pat Langley

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

An Adaptive Conversational Interface for Destination Advice.

Pat Langley, Cynthia A. Thompson, Renee Elio, Afsaneh Haddadi

Proceedings of the Cooperative Information Agents III, Third International Workshop, 1999

Controlling Physical Agents Through Reactive Logic Programming.

Daniel G. Shapiro, Pat Langley

Proceedings of the Third Annual Conference on Autonomous Agents, 1999

An Adaptive Interactive Agent for Route Advice.

Seth Rogers, Claude-Nicolas Fiechter, Pat Langley

Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998

Generalizing over aspect and location for rooftop detection.

Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia

Proceedings of the Proceedings Fourth IEEE Workshop on Applications of Computer Vision, 1998

Learning to Predict the Duration of an Automobile Trip.

Simon Handley, Pat Langley, Folke A. Rauscher

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

The Computer-Aided Discovery of Scientific Knowledge.

Pat Langley

Proceedings of the Discovery Science, 1998

Learning Cooperative Lane Selection Strategies for Highways.

David E. Moriarty, Pat Langley

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

Learning to Predict User Operations for Adaptive Scheduling.

Melinda T. Gervasio, Wayne Iba, Pat Langley

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

1997

Learning with Probabilistic Representations.

Pat Langley, Gregory M. Provan, Padhraic Smyth

Mach. Learn., 1997

Place recognition in dynamic environments.

Brian Yamauchi, Pat Langley

J. Field Robotics, 1997

Lazy Acquisition of Place Knowledge.

Pat Langley, Karl Pfleger, Mehran Sahami

Artif. Intell. Rev., 1997

Selection of Relevant Features and Examples in Machine Learning.

Avrim Blum, Pat Langley

Artif. Intell., 1997

Machine Learning for Adaptive User Interfaces.

Pat Langley

Proceedings of the KI-97: Advances in Artificial Intelligence, 1997

Learning to Sense Selectively in Physical Domains.

Pat Langley

Proceedings of the First International Conference on Autonomous Agents, 1997

Machine Learning for Intelligent Systems.

Pat Langley

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

What makes a compelling empirical evaluation?

Kevin Knight, Pat Langley, Paul R. Cohen

IEEE Expert, 1996

Induction of Condensed Determinations.

Pat Langley

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Static Versus Dynamic Sampling for Data Mining.

George H. John, Pat Langley

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1995

Applications of Machine Learning and Rule Induction.

Pat Langley, Herbert A. Simon

Commun. ACM, 1995

Estimating Continuous Distributions in Bayesian Classifiers.

George H. John, Pat Langley

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Case-Based Acquisition of Place Knowledge.

Pat Langley, Karl Pfleger

Proceedings of the Machine Learning, 1995

1994

Induction of Selective Bayesian Classifiers.

Pat Langley, Stephanie Sage

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Reactive and Automatic Behavior in Plan Execution.

Pat Langley, Wayne Iba, Jeff Shrager

Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

Elements of Machine Learning.

Pat Langley

Morgan Kaufmann, ISBN: 1-55860-301-8, 1994

1993

An Integrated Framework for Empirical Discovery.

Bernd Nordhausen, Pat Langley

Mach. Learn., 1993

Average-Case Analysis of a Nearest Neighbor Algorithm.

Pat Langley, Wayne Iba

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Induction of Recursive Bayesian Classifiers.

Pat Langley

Proceedings of the Machine Learning: ECML-93, 1993

1992

Quadruped Mammals.

Pat Langley, Douglas H. Fisher

Dataset, August, 1992

Induction of One-Level Decision Trees.

Wayne Iba, Pat Langley

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

An Analysis of Bayesian Classifiers.

Pat Langley, Wayne Iba, Kevin Thompson

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

A Design for the Icarus Architecture.

Pat Langley, Kathleen B. McKusick, John A. Allen, Wayne Iba, Kevin Thompson

SIGART Bull., 1991

Constraints on Tree Structure in Concept Formation.

Kathleen B. McKusick, Pat Langley

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Using Background Knowledge in Concept Formation.

Kevin Thompson, Pat Langley, Wayne Iba

Proceedings of the Eighth International Workshop (ML91), 1991

The Acquisition of Human Planning Expertise.

Pat Langley, John A. Allen

Proceedings of the Eighth International Workshop (ML91), 1991

1990

Advice to Machine Learning Authors.

Pat Langley

Mach. Learn., 1990

A Robust Approach to Numeric Discovery.

Bernd Nordhausen, Pat Langley

Proceedings of the Machine Learning, 1990

1989

Toward a Unified Science of Machine Learning.

Pat Langley

Mach. Learn., 1989

Data-Driven Approaches to Empirical Discovery.

Pat Langley, Jan M. Zytkow

Artif. Intell., 1989

Models of Incremental Concept Formation.

John H. Gennari, Pat Langley, Douglas H. Fisher

Artif. Intell., 1989

Improving Efficiency by Learning Intermediate Concepts.

James Wogulis, Pat Langley

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Incremental Concept Formation with Composite Objects.

Kevin Thompson, Pat Langley

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Unifying Themes in Empirical and Explanation-Based Learning.

Pat Langley

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Using Concept Hierarchies to Organize Plan Knowledge.

John A. Allen, Pat Langley

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Machine Learning as an Experimental Science.

Pat Langley

Mach. Learn., 1988

A Hill-Climbing Approach to Machine Discovery.

Donald Rose, Pat Langley

Proceedings of the Machine Learning, 1988

Trading Off Simplicity and Coverage in Incremental concept Learning.

Wayne Iba, James Wogulis, Pat Langley

Proceedings of the Machine Learning, 1988

Machine Learning as an Experimental Science.

Dennis F. Kibler, Pat Langley

Proceedings of the Third European Working Session on Learning, 1988

1987

Research Papers in Machine Learning.

Pat Langley

Mach. Learn., 1987

Machine Learning and Concept Formation.

Pat Langley

Mach. Learn., 1987

Machine Learning and Grammar Induction.

Pat Langley

Mach. Learn., 1987

A computational theory of motor learning.

Wayne Iba, Pat Langley

Comput. Intell., 1987

Towards an Integrated Discovery System.

Bernd Nordhausen, Pat Langley

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

1986

Chemical Discovery as Belief Revision.

Donald Rose, Pat Langley

Mach. Learn., 1986

Machine Learning and Discovery.

Pat Langley, Ryszard S. Michalski

Mach. Learn., 1986

Editorial: Human and Machine Learning.

Pat Langley

Mach. Learn., 1986

Editorial: The Terminology of Machine Learning.

Pat Langley

Mach. Learn., 1986

On Machine Learning.

Pat Langley

Mach. Learn., 1986

STAHLp: Belief Revision in Scientific Discovery.

Donald Rose, Pat Langley

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

1985

Learning to Search: From Weak Methods to Domain-Specific Heuristics.

Pat Langley

Cogn. Sci., 1985

Approaches to Conceptual Clustering.

Douglas H. Fisher, Pat Langley

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984

Approaches to machine learning.

Pat Langley, Jaime G. Carbonell

J. Am. Soc. Inf. Sci., 1984

Automated Cognitive Modeling.

Pat Langley, Stellan Ohlsson

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

1983

Learning Search Strategies through Discrimination.

Pat Langley

Int. J. Man Mach. Stud., 1983

Representational Issues in Learning Systems.

Pat Langley

Computer, 1983

Modeling Cognitive Development on the Balance Scale Task.

Stephanie Sage, Pat Langley

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

Three Facets of Scientific Discovery.

Pat Langley, Jan M. Zytkow, Gary L. Bradshaw, Herbert A. Simon

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

Learning Effective Search Heuristics.

Pat Langley

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

1982

Learning from Solution Paths: An Approach to the Credit Assignment Problem.

Derek H. Sleeman, Pat Langley, Tom M. Mitchell

AI Mag., 1982

Strategy Acquisition Governed by Experimentation.

Pat Langley

Proceedings of the 5th European Conference on Artificial Intelligence, 1982

A Model of Early Syntactic Development.

Pat Langley

Proceedings of the 20th Annual Meeting of the Association for Computational Linguistics, 1982

1981

Data-Driven Discovery of Physical Laws.

Pat Langley

Cogn. Sci., 1981

BACON.5: The Discovery of Conservation Laws.

Pat Langley, Gary L. Bradshaw, Herbert A. Simon

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1980

A Production System Model Of First Language Acquisition.

Pat Langley

Proceedings of the 8th International Conference on Computational Linguistics, 1980

1979

Rediscovering Physics with BACON.3.

Pat Langley

Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1977

Problems in Building an Instructable Production System.

Michael D. Rychener, Charles Forgy, Pat Langley, John P. McDermott, Allen Newell, K. Ramakrishna

Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977

BACON: A Production System That Discovers Empirical Laws.

Pat Langley

Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977