- To appear in Proceedings of the Fifth International Workshop on Principles of Diagnosis (1994). New Paltz, NY. Theory Revision in Fault Hierarchies
- To appear in Proceedings of the First International Conference on Autonomous Agents (1997). Marina del Rey, CA: ACM. Learning to Sense Selectively in Physical Domains
- Interactive Refinement of Route Preferences for Driving \Lambda Seth Rogers and Pat Langley
- From Working Notes of the AAAI94 Workshop on CaseBased Reasoning (1994). Seattle, WA: AAAI Press. Oblivious Decision Trees and Abstract Cases
- Revising Engineering Models: Combining Computational Discovery with Knowledge
- GUIDING REVISION OF REGULATORY MODELS WITH EXPRESSION DATA
- Computational Revision of Quantitative Scienti c Models
- ModelBased Learning with Hierarchical Relational Skills Pat Langley langley@csli.stanford.edu
- From Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994). Seattle, WA: Morgan Kaufmann. Induction of Selective Bayesian Classifiers
- Order Effects in Incremental Learning 1. Introduction
- Place Learning in Dynamic RealWorld Environments Brian Yamauchi 1 (yamauchi@robotics.stanford.edu)
- To appear in Proceedings of the Second International Conference on AI Planning Systems (1994). Chicago: AAAI Press. Reactive and Automatic Behavior in Plan Execution
- From Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (1996). San Diego: Lawrence Erlbaum Publishers.
- Learning Distributed Strategies for Traffic Control David E. Moriarty, Simon Handley, and Pat Langley
- Computational Models of Historical Scientific Discoveries Pat Langley, Institute for the Study of Learning and Expertise
- INCORPORATING BIOLOGICAL KNOWLEDGE INTO EVALUATION OF CAUSAL REGULATORY HYPOTHESES
- To appear in Proceedings of the ARPA Image Understanding Workshop (1994). Monterey, CA: Morgan Kaufmann. Learning Object Models From Visual Observation
- An Interactive Environment for Scientific Model Construction
- Cumulative Learning of Hierarchical Skills Pat Langley
- Computer Generation of Process Explanations in Nuclear Astrophysics
- An Architecture for Persistent Reactive Behavior Dongkyu Choi, Matt Kaufman, Pat Langley,
- From Proceedings of the Sixteenth International Conference on Machine Learning . Bled, Solvenia: Morgan Kaufmann. Learning User Evaluation Functions for
- 2 Scaling to Domains with Irrelevant Features Pat Langley and Stephanie Sage
- Separating Skills from Preference: Using Learning to Program by Reward
- Selection of Relevant Features and Examples in Machine Learning
- Probabilistic Learning of ThreeDimensional Object Models \Lambda Gregory Provan (provan@camis.stanford.edu)
- Unsupervised Learning of Probabilistic Concept Hierarchies
- To appear in Proceedings of the Fifth International Workshop on Principles of Diagnosis (1994). New Paltz, NY. Theory Revision in Fault Hierarchies
- Hierarchical Skills and Cognitive Architectures Pat Langley (langley@csli.stanford.edu)
- To appear in Proceedings of the First International Conference on Autonomous Agents (1997). Marina del Rey, CA: ACM. Learning to Sense Selectively in Physical Domains
- Applications of Machine Learning and Rule Induction Pat Langley \Pi
- Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving
- Lazy Acquisition of Place Knowledge Pat Langley \Pi (Langley@cs.stanford.edu)
- Discovering Ecosystem Models from Time-Series Data
- Learning Hierarchical Skills from Observation
- COGNITIVE SCIENCE 9, 217-260 (1985) Learning to Search: FromWeak Methods
- From Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (2001). ACM Press. Generalized Clustering, Supervised Learning,
- Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving
- Hierarchical Skills and Cognitive Architectures Pat Langley (langley@csli.stanford.edu)
- Model-Based Learning with Hierarchical Relational Skills Pat Langley langley@csli.stanford.edu
- From Proceedings of the Seventh International Conference on User Modeling. Banff, Alberta: Springer. User Modeling in Adaptive Interfaces
- Magellan: An Integrated Adaptive Architecture for Mobile Robotics
- Improved Rooftop Detection in Aerial Images with Machine M.A. Maloof (maloof@cs.georgetown.edu)
- Appears in the Proceedings of the Fifteenth National Conference on Arti cial Intelligence (AAAI-98), pp. 721{726 Learning to Predict User Operations for Adaptive Scheduling
- A Route Advice Agent that Models Driver Preferences Seth Rogers and Claude-Nicolas Fiechter and Pat Langley
- To appear in Proceedings of the ARPA Image Understanding Workshop (1994). Monterey, CA: Morgan Kaufmann. Report of the AAAI Fall Symposium on
- From Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (2001). ACM Press. Generalized Clustering, Supervised Learning,
- Inducing Explanatory Process Models from Biological Time Series Pat Langley, Je Shrager, Nima Asgharbeygi, Stephen Bay
- The Utility of Feature Weighting in NearestNeighbor Algorithms
- DRAFT: COMMENTS WELCOME BUT PLEASE DO NOT QUOTE The Experimental Study of Adaptive User Interfaces
- Estimating Continuous Distributions in Bayesian Classifiers George H. John
- A Cognitive Architecture for Physical Agents Pat Langley, Dongkyu Choi, and Daniel Shapiro
- Computational Discovery of Communicable Scienti c Knowledge
- Discovering Communicable Scienti c Knowledge from Spatio-Temporal Data
- From Proceedings of the AAAI Fall Symposium on Relevance (1994). New Orleans, LA: AAAI Press. Selection of Relevant Features in Machine Learning
- Distributed Learning of LaneSelection Strategies for Traffic Management
- Crafting Papers on Machine Learning Pat Langley langley@rtna.daimlerchrysler.com
- Machine Learning for Adaptive User Interfaces Pat Langley
- Computational Discovery of Communicable Knowledge: Symposium Report
- From Proceedings of the TwentyFirst Annual Conference of the Cognitive Science Society . Vancouver: Lawrence Erlbaum (1999). Concrete and Abstract Models of Category Learning
- Personalization of the Automotive Information Environment
- Revising Qualitative Models of Gene Regulation Kazumi Saito, 1 Stephen Bay, 2 and Pat Langley 2
- Induction of Condensed Determinations Pat Langley \Lambda (Langley@cs.stanford.edu)
- A Value-Driven Architecture for Intelligent Behavior Pat Langley, Daniel Shapiro,
- An Integrated Framework for Extended Discovery in Particle Physics
- Lessons for the Computational Discovery of Scienti c Knowledge Pat Langley langley@isle.org
- CaseBased Acquisition of Place Knowledge Pat Langley \Lambda (Langley@cs.stanford.edu)
- From Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (1998). New York: AAAI Press.
- From Proceedings of the Sixteenth International Conference on Machine Learning . Bled, Solvenia: Morgan Kaufmann. Tractable AverageCase Analysis of Naive Bayesian Classifiers
- Improved Rooftop Detection in Aerial Images with Machine M.A. Maloof (maloof@cs.georgetown.edu)
- Learning Cooperative Lane Selection Strategies for Highways David E. Moriarty
- From Proceedings of the 1998 Image Understanding Workshop. Monterrey, CA: Morgan Kaufmann. Improving Rooftop Detection with Interactive Visual Learning
- Generating Process Explanations in Nuclear Astrophysics
- Static Versus Dynamic Sampling for Data Mining George H. John and Pat Langley
- An Adaptive Stock Tracker for Personalized Trading Advice
- To appear in Proceedings of the ARPA Image Understanding Workshop (1994). Monterey, CA: Morgan Kaufmann. Report of the AAAI Fall Symposium on
- From Proceedings of the Third International Workshop on Cooperative Information Agents. Uppsala, Sweden: Springer (1999).
- From Proceedings of the Sixteenth International Conference on Machine Learning. Bled, Solvenia: Morgan Kaufmann. Learning User Evaluation Functions for
- Interactive Re nement of Route Preferences for Driving Seth Rogers and Pat Langley
- Learning Distributed Strategies for Tra c Control David E. Moriarty, Simon Handley, and Pat Langley
- Machine Learning for Adaptive User Interfaces Pat Langley
- 2 Scaling to Domains with Irrelevant Features Pat Langley and Stephanie Sage
- Structural Transfer of Cognitive Skills Dongkyu Choi (dongkyuc@stanford.edu)
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- Order E ects in Incremental Learning 1. Introduction
- From Proceedings of the Sixteenth International Conference on Machine Learning. Bled, Solvenia: Morgan Kaufmann. Tractable Average-Case Analysis of Naive Bayesian Classi ers
- A Believable Agent for First-Person Shooter Games Dongkyu Choi, Tolga Konik, Negin Nejati, Chunki Park, and Pat Langley
- Appears in the AIPS-98 Workshop on Interactive and Collaborative Planning Interactive Adaptation for Crisis Response
- Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV '98), 194{199. Generalizing over Aspect and Location for Rooftop Detection
- Exploring Moral Reasoning in a Cognitive Architecture
- An Interactive Environment for Explanatory Biological Modeling
- Learning Hierarchical Skills from Problem Solutions Using Means-Ends Analysis
- Processes and Constraints in Explanatory Scientific Discovery Pat Langley (langley@csli.stanford.edu)
- Varieties of Problem Solving in a Unified Cognitive Architecture Pat Langley (langley@asu.edu)
- Scientific Reasoning and Artificial Intelligence Pat Langley and Will Bridewell
- Intelligent Behavior in Humans and Machines Pat Langley
- A Unified Cognitive Architecture for Physical Agents Pat Langley and Dongkyu Choi
- An Adaptive Architecture for Physical Agents Pat Langley
- Reducing Overfitting in Process Model Induction Will Bridewell willb@csli.stanford.edu
- An Extended Theory of Human Problem Solving Pat Langley (langley@csli.stanford.edu)
- Inducing Hierarchical Process Models in Dynamic Domains Ljupco Todorovski,1,2
- Cognitive Architectures and the Construction of Intelligent Agents
- Crafting Papers on Machine Learning Pat Langley langley@rtna.daimlerchrysler.com
- From Proceedings of the Twenty-First Annual Conference of the Cognitive Science Society. Vancouver: Lawrence Erlbaum (1999). Concrete and Abstract Models of Category Learning
- Appears in the Proceedings of the Twentieth Annual Conference of the Cognitive Science Society Evaluating Computational Assistance for Crisis Response
- Machine Learning, 29, 91101 (1997) c 1997 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Preface: Expanding Our Mental Horizons Pat Langley
- Personalization of the Automotive Information Environment
- Induction of Condensed Determinations Pat Langley (Langley@cs.stanford.edu)
- Relevance and Insight in Experimental Studies Pat Langley
- Applications of Machine Learning and Rule Induction Pat Langley
- Retrieval and Learning in Analogical Problem Solving Randolph M. Jones
- Concept Formation in Structured Domains
- Using Background Knowledge to Speed Reinforcement Learning in Physical Agents
- Guiding Inference through Relational Reinforcement Learning
- Lazy Acquisition of Place Knowledge Pat Langley (Langley@cs.stanford.edu)
- DRAFT: COMMENTS WELCOME BUT PLEASE DO NOT QUOTE The Experimental Study of Adaptive User Interfaces
- An Adaptive Interactive Agent for Route Advice
- The Utility of Feature Weighting in Nearest-Neighbor Algorithms
- From Proceedings of the Fourteenth National Conference on Arti cial Intelligence (1997). Providence, RI: AAAI Press. Machine Learning for Intelligent Systems
- Improving Rooftop Detection in Aerial Images Through Machine Learning
- Distributed Learning of Lane-Selection Strategies for Tra c Management
- Place Learning in Dynamic Real-World Environments Brian Yamauchi1 (yamauchi@robotics.stanford.edu)
- Learning Teleoreactive Logic Programs from Problem Solving
- Integrated Systems for Inducing Spatio-Temporal Process Models Chunki Park,1
- Learning Hierarchical Task Networks by Observation Negin Nejati negin@stanford.edu
- Computational Intelligence, Volume 21, Number 4, 2005 A CONSTRAINED ARCHITECTURE FOR LEARNING
- Appears in Case-Based Reasoning Integrations: Papers from the 1998 Workshop, AAAI Technical Report WS-98-15, pp. 61{66
- A Computational Account of Everyday Abductive Inference
- Unsupervised Learning of Probabilistic Concept Hierarchies
- To appear in Proceedings of the AAAI Spring Symposium on Integrated Intelligent Architectures, Stanford, CA, 1991
- Static Versus Dynamic Sampling for Data Mining George H. John and Pat Langley
- Experimental Studies of Integrated Cognitive Systems Pat Langley
- Selection of Relevant Features and Examples in Machine Learning
- Retrieval and Learning in Analogical Problem Solving Randolph M. Jones
- Constructing Explanatory Process Models from Biological Data and Knowledge
- Learning Context-Free Grammars with a Simplicity Bias
- From Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (1996). San Diego: Lawrence Erlbaum Publishers.
- To appear in Proceedings of the ARPA Image Understanding Workshop (1994). Monterey, CA: Morgan Kaufmann. Learning Object Models From Visual Observation
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV '98), 194--199. Generalizing over Aspect and Location for Rooftop Detection
- An Interactive Environment for the Modeling and Discovery of Scientific Knowledge
- Cognitive architectures: Research issues and challenges Action editor: Ron Sun
- Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling and Control (pp. 109{114). San Diego, CA: Morgan Kaufmann (1990).
- Computational Models of Historical Scienti c Discoveries Pat Langley, Institute for the Study of Learning and Expertise
- 1 Machine Learning for Cognitive Technology Assessment and
- DOI 10.1007/s10994-007-5042-6 Inductive process modeling
- The Computational Support of Scienti c Discovery Pat Langley
- www.ext.vt.edu Produced by Communications and Marketing, College of Agriculture and Life Sciences,
- Induction of Recursive Bayesian Classifiers Pat Langley
- In Proceedings of the Tenth National Conference on Arti cial Intelligence (1992). San Jose: AAAI Press. An Analysis of Bayesian Classi ers
- ecological modelling 194 (2006) 7079 available at www.sciencedirect.com
- Learning Conceptual Predicates for Teleoreactive Logic Programs
- An Interdisciplinary Curriculum in Science Informatics Pat Langley (langley@asu.edu)
- Learning Process Models with Missing Data Will Bridewell, Pat Langley, Steve Racunas, and Stuart Borrett
- Int. J. Man-Machine Studies (1983) 18, 513-541 Learning search strategies through discrimination
- Revising Regulatory Networks: From Expression Data to Linear Causal Models
- From Proceedings of the AAAI Fall Symposium on Relevance (1994). New Orleans, LA: AAAI Press. Selection of Relevant Features in Machine Learning
- Computational Discovery of Communicable Knowledge: Symposium Report
- Learning from Errors by Counterfactual Reasoning in a Unified Cognitive Architecture
- A Command Language for Taskable Virtual Agents Pat Langley, Nishant Trivedi, and Matt Banister
- Introduction intelligent
- From Working Notes of the AAAI-94 Workshop on Case-Based Reasoning (1994). Seattle, WA: AAAI Press. Oblivious Decision Trees and Abstract Cases
- The Changing Science of Machine Learning Pat Langley (langley@asu.edu)
- Estimating Continuous Distributions in Bayesian Classi ers George H. John
- Case-Based Acquisition of Place Knowledge Pat Langley (Langley@cs.stanford.edu)
- From Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (1998). New York: AAAI Press.
- Interleaving Learning, Problem Solving, and Execution in the Icarus Architecture
- Relational Temporal Difference Learning Nima Asgharbeygi nimaa@stanford.edu
- From Proceedings of the Tenth Conference on Uncertainty in Arti cial Intelligence (1994). Seattle, WA: Morgan Kaufmann. Induction of Selective Bayesian Classi ers
- To appear in Proceedings of the Second International Conference on AI Planning Systems (1994). Chicago: AAAI Press. Reactive and Automatic Behavior in Plan Execution
- Representing and Reasoning over Time in a Symbolic Cognitive Architecture David J. Stracuzzi (david.stracuzzi@asu.edu)
- Learning Cooperative Lane Selection Strategies for Highways David E. Moriarty
- Probabilistic Learning of Three-Dimensional Object Models Gregory Provan (provan@camis.stanford.edu)
- Cognitive Architectures and General Intelligent Systems
- Skill transfer through goal-driven representation mapping Action editor: Angela Schwering
- Artificial Intelligence and Intelligent Systems Pat Langley
- to appear in the mlw-89 session on combining empirical and explanation-based learning Unifying Themes in Empirical and Explanation-Based Learning
- Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction
- Improving Acquisition of Teleoreactive Logic Programs through Representation Change
- 54 November 1995/Vol. 38, No. 11 COMMUNICATIONS OF THE ACM AIadvances in traditional AI
- Draft { Please do not quote; comments welcome Copyright c 1992 Patrick W. Langley
- Artificial Intelligence and Cognitive Systems
- Advances in Cognitive Systems Pat Langley
- Adaptive User Interfaces for Automotive Environments Seth Rogers Claude-Nicolas Fiechter Cynthia Thompson
- Learning Subjective Functions with Large Margins
- Computational Discovery of Scientific Knowledge
