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ORCIDPat Langley
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- affiliation: Institute for the Study of Learning and Expertise, Palo Alto, CA, USA
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2020 – today
- 2024
[c117]Pat Langley:
Integrated Systems for Computational Scientific Discovery. AAAI 2024: 22598-22606- 2022
- [c116]Pat Langley:
The Computational Gauntlet of Human-Like Learning. AAAI 2022: 12268-12273 - [c115]Pat Langley, Edward Katz:
Extending an Embodied Cognitive Architecture with Spatial Representation and Reasoning. HLC 2022: 41-45 - [c114]Pat Langley:
Abstract: The Computational Gauntlet of Human-Like Learning 59Pat Langley. HLC 2022: 59 - [c113]Pat Langley:
Representing and Processing Emotions in a Cognitive Architecture. HLC 2022: 60-64 - [c112]Pat Langley:
Learning Hierarchical Problem Networks for Knowledge-Based Planning. ILP 2022: 69-83 - [i4]Christopher J. MacLellan, Peter Matsakis, Pat Langley:
Efficient Induction of Language Models Via Probabilistic Concept Formation. CoRR abs/2212.11937 (2022) - 2021
- [j56]Pat Langley:
Agents of Exploration and Discovery. AI Mag. 42(4): 72-82 (2021) - 2020
- [c111]Pat Langley:
Open-World Learning for Radically Autonomous Agents. AAAI 2020: 13539-13543
2010 – 2019
- 2019
- [c110]Pat Langley:
An Integrative Framework for Artificial Intelligence Education. AAAI 2019: 9670-9677 - [c109]Pat Langley:
Explainable, Normative, and Justified Agency. AAAI 2019: 9775-9779 - 2018
- [j55]Dongkyu Choi
, Pat Langley:
Evolution of the Icarus Cognitive Architecture. Cogn. Syst. Res. 48: 25-38 (2018) - [c108]Dongkyu Choi, Pat Langley, Son Thanh To:
Creating and Using Tools in a Hybrid Cognitive Architecture. AAAI Spring Symposia 2018 - [c107]Pat Langley, Mohan Sridharan, Ben Meadows:
Representation, Use, and Acquisition of Affordances in Cognitive Systems. AAAI Spring Symposia 2018 - 2017
- [j54]Pat Langley:
Interactive Cognitive Systems and Social Intelligence. IEEE Intell. Syst. 32(4): 22-30 (2017) - [c106]Pat Langley, Adam Arvay:
Flexible Model Induction through Heuristic Process Discovery. AAAI 2017: 4415-4421 - [c105]Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi:
Explainable Agency for Intelligent Autonomous Systems. AAAI 2017: 4762-4764 - [c104]Pat Langley:
Progress and Challenges in Research on Cognitive Architectures. AAAI 2017: 4870-4876 - [c103]Pat Langley, Richard Cooper:
Symposium on Problem Solving and Goal-Directed Sequential Activity. CogSci 2017 - 2016
- [c102]Pat Langley:
An Architectural Account of Variation in Problem Solving and Execution. CogSci 2016 - 2015
- [j53]Mahmoud Dinar, Andreea Danielescu, Christopher MacLellan, Jami J. Shah, Pat Langley:
Problem Map: An Ontological Framework for a Computational Study of Problem Formulation in Engineering Design. J. Comput. Inf. Sci. Eng. 15(3) (2015) - [c101]Alfredo Gabaldon, Pat Langley:
Dialogue Understanding in a Logic of Action and Belief. AAAI 2015: 515-521 - [c100]Pat Langley, Adam Arvay:
Heuristic Induction of Rate-Based Process Models. AAAI 2015: 537-543 - [c99]Ben Leon Meadows, Richard Heald, Pat Langley:
An Integrated Account of Explanation and Question Answering. CogSci 2015 - 2014
- [c98]Chris Pearce, Ben Leon Meadows, Pat Langley, Mike Barley:
Social Planning: Achieving Goals by Altering Others' Mental States. AAAI 2014: 402-409 - [c97]Alfredo Gabaldon, Pat Langley, Ben Meadows, Ted Selker:
Knowledge-Guided Interpretation and Generation of Task-Oriented Dialogue. IWSDS 2014: 27-39 - 2013
- [j52]Christopher J. MacLellan, Pat Langley, Jami Shah, Mahmoud Dinar:
A Computational Aid for Problem Formulation in Early Conceptual Design. J. Comput. Inf. Sci. Eng. 13(3) (2013) - [c96]Ben Leon Meadows, Pat Langley, Miranda Jane Emery:
Seeing Beyond Shadows: Incremental Abductive Reasoning for Plan Understanding. AAAI Workshop: Plan, Activity, and Intent Recognition 2013 - [c95]Alfredo Gabaldon, Pat Langley, Ben Meadows:
Meta-Level and Domain-Level Processing in Task-Oriented Dialogue. AAAI Fall Symposia 2013 - [i3]George H. John, Pat Langley:
Estimating Continuous Distributions in Bayesian Classifiers. CoRR abs/1302.4964 (2013) - [i2]Pat Langley, Stephanie Sage:
Induction of Selective Bayesian Classifiers. CoRR abs/1302.6828 (2013) - 2012
- [j51]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:
Reports of the AAAI 2011 Fall Symposia. AI Mag. 33(1): 71-78 (2012) - [c94]Ljupco Todorovski, Will Bridewell, Pat Langley:
Discovering Constraints for Inductive Process Modeling. AAAI 2012: 256-262 - [c93]Pat Langley, Glen Hunt:
A Web-Based Environment for Explanatory Biological Modeling. AAAI Fall Symposium: Discovery Informatics 2012 - 2011
- [j50]Pat Langley:
The changing science of machine learning. Mach. Learn. 82(3): 275-279 (2011) - [c92]Nan Li, David J. Stracuzzi, Pat Langley:
Improving Acquisition of Teleoreactive Logic Programs through Representation Change. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c91]Nishant Trivedi, Pat Langley, Paul W. Schermerhorn, Matthias Scheutz:
Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c90]Pat Langley, Will Bridewell:
Combining Data-Driven and Knowledge-Guided Methods to Induce Interpretable Physiological Models. AAAI Spring Symposium: Computational Physiology 2011 - [c89]Will Bridewell, Pat Langley:
A Computational Account of Everyday Abductive Inference. CogSci 2011 - [c88]Wayne Iba, Pat Langley:
Exploring Moral Reasoning in a Cognitive Architecture. CogSci 2011 - [c87]Pat Langley, Dongkyu Choi:
Tutorial on the Icarus Cognitive Architecture. CogSci 2011 - [i1]Mehmet H. Göker, Pat Langley, Cynthia A. Thompson:
A Personalized System for Conversational Recommendations. CoRR abs/1107.0029 (2011) - 2010
- [j49]Will Bridewell, Pat Langley:
Two Kinds of Knowledge in Scientific Discovery. Top. Cogn. Sci. 2(1): 36-52 (2010) - [c86]Chunki Park, Will Bridewell, Pat Langley:
Integrated Systems for Inducing Spatio-Temporal Process Models. AAAI 2010: 1555-1560 - [c85]Pat Langley, Nishant Trivedi, Matt Banister:
A Command Language for Taskable Virtual Agents. AIIDE 2010
2000 – 2009
- 2009
- [j48]Pat Langley, John E. Laird, Seth Rogers:
Cognitive architectures: Research issues and challenges. Cogn. Syst. Res. 10(2): 141-160 (2009) - [j47]Tolga Könik, Paul O'Rorke, Daniel G. Shapiro, Dongkyu Choi, Negin Nejati, Pat Langley:
Skill transfer through goal-driven representation mapping. Cogn. Syst. Res. 10(3): 270-285 (2009) - [j46]Pat Langley, Dongkyu Choi, Seth Rogers:
Acquisition of hierarchical reactive skills in a unified cognitive architecture. Cogn. Syst. Res. 10(4): 316-332 (2009) - 2008
- [j45]Nicholas L. Cassimatis, Paul Bello, Pat Langley:
Ability, Breadth, and Parsimony in Computational Models of Higher-Order Cognition. Cogn. Sci. 32(8): 1304-1322 (2008) - [j44]Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski:
Inductive process modeling. Mach. Learn. 71(1): 1-32 (2008) - [c84]Art Pope, Pat Langley:
CASTLE: A Framework for Integrating Cognitive Models into Virtual Environments. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 152 - 2007
- [c83]Dongkyu Choi, Tolga Könik, Negin Nejati, Chunki Park, Pat Langley:
A Believable Agent for First-Person Shooter Games. AIIDE 2007: 71-73 - [p3]Saso Dzeroski, Pat Langley, Ljupco Todorovski:
Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge 2007: 1-14 - [p2]Kazumi Saito, Pat Langley:
Quantitative Revision of Scientific Models. Computational Discovery of Scientific Knowledge 2007: 120-137 - [p1]Mark Schwabacher, Pat Langley, Christopher Potter, Steven A. Klooster, Alicia Torregrosa:
Discovering Communicable Models from Earth Science Data. Computational Discovery of Scientific Knowledge 2007: 138-157 - 2006
- [j43]Pat Langley:
Cognitive Architectures and General Intelligent Systems. AI Mag. 27(2): 33-44 (2006) - [j42]Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille:
Constructing explanatory process models from biological data and knowledge. Artif. Intell. Medicine 37(3): 191-201 (2006) - [j41]Will Bridewell, Javier Nicolás Sánchez, Pat Langley, Dorrit Billman:
An interactive environment for the modeling and discovery of scientific knowledge. Int. J. Hum. Comput. Stud. 64(11): 1099-1114 (2006) - [j40]Pat Langley, Dongkyu Choi:
Learning Recursive Control Programs from Problem Solving. J. Mach. Learn. Res. 7: 493-518 (2006) - [c82]Pat Langley, Dongkyu Choi:
A Unified Cognitive Architecture for Physical Agents. AAAI 2006: 1469-1474 - [c81]Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett:
Learning Process Models with Missing Data. ECML 2006: 557-565 - [c80]Nima Asgharbeygi, David J. Stracuzzi, Pat Langley:
Relational temporal difference learning. ICML 2006: 49-56 - [c79]Negin Nejati, Pat Langley, Tolga Könik:
Learning hierarchical task networks by observation. ICML 2006: 665-672 - 2005
- [j39]Randolph M. Jones, Pat Langley:
A Constrained Architecture for Learning and Problem Solving. Comput. Intell. 21(4): 480-502 (2005) - [j38]Ryutaro Ichise, Daniel G. Shapiro, Pat Langley:
Structured program induction from behavioral traces. Syst. Comput. Jpn. 36(11): 49-59 (2005) - [c78]Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley:
Inducing Hierarchical Process Models in Dynamic Domains. AAAI 2005: 892-897 - [c77]Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski:
Reducing overfitting in process model induction. ICML 2005: 81-88 - [c76]Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai:
Guiding Inference Through Relational Reinforcement Learning. ILP 2005: 20-37 - [c75]Dongkyu Choi, Pat Langley:
Learning Teleoreactive Logic Programs from Problem Solving. ILP 2005: 51-68 - [c74]Pat Langley:
An Adaptive Architecture for Physical Agents. Web Intelligence 2005: 18-25 - 2004
- [j37]Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson:
Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. 9(1): 59-87 (2004) - [j36]Cynthia A. Thompson, Mehmet H. Göker, Pat Langley:
A Personalized System for Conversational Recommendations. J. Artif. Intell. Res. 21: 393-428 (2004) - [j35]Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans:
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Mach. Learn. 57(1-2): 13-34 (2004) - [c73]Dongkyu Choi, Matthew T. Kaufman, Pat Langley, Negin Nejati, Daniel G. Shapiro:
An Architecture for Persistent Reactive Behavior. AAMAS 2004: 988-995 - 2003
- [j34]Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage:
Improved Rooftop Detection in Aerial Images with Machine Learning. Mach. Learn. 53(1-2): 157-191 (2003) - [c72]Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo:
Discovering Ecosystem Models from Time-Series Data. Discovery Science 2003: 141-152 - [c71]Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito:
Robust Induction of Process Models from Time-Series Data. ICML 2003: 432-439 - [c70]Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley:
An adaptive stock tracker for personalized trading advice. IUI 2003: 197-203 - [c69]Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley:
Personalized trading recommendation system. IUI 2003: 332 - [c68]Javier Nicolás Sánchez, Pat Langley:
An interactive environment for scientific model construction. K-CAP 2003: 138-145 - [c67]Lonnie Chrisman, Pat Langley, Stephen D. Bay:
Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing 2003: 128-139 - 2002
- [j33]Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley:
Revising regulatory networks: from expression data to linear causal models. J. Biomed. Informatics 35(5-6): 289-297 (2002) - [c66]Kazumi Saito, Stephen D. Bay, Pat Langley:
Revising Qualitative Models of Gene Regulation. Discovery Science 2002: 59-70 - [c65]Ryutaro Ichise, Daniel G. Shapiro, Pat Langley:
Learning Hierarchical Skills from Observation. Discovery Science 2002: 247-258 - [c64]Stephen D. Bay, Daniel G. Shapiro, Pat Langley:
Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML 2002: 10-22 - [c63]Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski:
Inducing Process Models from Continuous Data. ICML 2002: 347-354 - [c62]Daniel G. Shapiro, Pat Langley:
Separating Skills from Preference: Using Learning to Program by Reward. ICML 2002: 570-577 - [c61]Jeff Shrager, Pat Langley, Andrew Pohorille:
Guiding Revision of Regulatory Models with Expression Data. Pacific Symposium on Biocomputing 2002: 486-497 - [c60]Kazumi Saito, Pat Langley:
Discovering Empirical Laws of Web Dynamics. SAINT 2002: 168-175 - 2001
- [c59]Wayne Iba, Pat Langley:
Unsupervised Learning of Probabilistic Concept Hierarchies. Machine Learning and Its Applications 2001: 39-70 - [c58]Pat Langley:
The Computational Support of Scientific Discovery. Machine Learning and Its Applications 2001: 230-248 - [c57]Daniel G. Shapiro, Pat Langley, Ross D. Shachter:
Using background knowledge to speed reinforcement learning in physical agents. Agents 2001: 254-261 - [c56]Saso Dzeroski, Pat Langley:
Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science 2001: 45-49 - [c55]Sakir Kocabas, Pat Langley:
An Integrated Framework for Extended Discovery in Particle Physics. Discovery Science 2001: 182-195 - [c54]Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster:
Computational Revision of Quantitative Scientific Models. Discovery Science 2001: 336-349 - [c53]Mark Schwabacher, Pat Langley:
Discovering Communicable Scientific Knowledge from Spatio-Temporal Data. ICML 2001: 489-496 - [c52]Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo:
Generalized clustering, supervised learning, and data assignment. KDD 2001: 299-304 - 2000
- [j32]Sakir Kocabas, Pat Langley:
Computer generation of process explanations in nuclear astrophysics. Int. J. Hum. Comput. Stud. 53(3): 377-392 (2000) - [j31]Pat Langley:
The computational support of scientific discovery. Int. J. Hum. Comput. Stud. 53(3): 393-410 (2000) - [j30]Sakir Kocabas, Pat Langley:
Collaboration, Cooperation and Conflict in Dialogue Systems: Int. J. Human-Computer Studies (2000) 53, 377-392. Int. J. Hum. Comput. Stud. 53(6): 1147-1147 (2000) - [j29]Sakir Kocabas, Pat Langley:
Computer generation of process explanations in nuclear astrophysics. Int. J. Hum. Comput. Stud. 53(6): 1149-1164 (2000) - [c51]Pat Langley, Sean Stromsten:
Learning Context-Free Grammars with a Simplicity Bias. ECML 2000: 220-228 - [c50]Pat Langley:
Crafting Papers on Machine Learning. ICML 2000: 1207-1216 - [e1]Pat Langley:
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000. Morgan Kaufmann 2000, ISBN 1-55860-707-2 [contents]
1990 – 1999
- 1999
- [c49]Seth Rogers, Claude-Nicolas Fiechter, Pat Langley:
An Adaptive Interactive Agent for Route Advice. Agents 1999: 198-205 - [c48]Daniel G. Shapiro, Pat Langley:
Controlling Physical Agents Through Reactive Logic Programming. Agents 1999: 386-387 - [c47]Pat Langley, Cynthia A. Thompson, Renee Elio, Afsaneh Haddadi:
An Adaptive Conversational Interface for Destination Advice. CIA 1999: 347-364 - [c46]Melinda T. Gervasio, Wayne Iba, Pat Langley:
Learning User Evaluation Functions for Adaptive Scheduling Assistance. ICML 1999: 152-161 - [c45]Pat Langley, Stephanie Sage:
Tractable Average-Case Analysis of Naive Bayesian Classifiers. ICML 1999: 220-228 - [c44]Seth Rogers, Pat Langley, Christopher Wilson:
Mining GPS Data to Augment Road Models. KDD 1999: 104-113 - 1998
- [c43]David E. Moriarty, Pat Langley:
Learning Cooperative Lane Selection Strategies for Highways. AAAI/IAAI 1998: 684-691 - [c42]Melinda T. Gervasio, Wayne Iba, Pat Langley:
Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI 1998: 721-726 - [c41]Pat Langley:
The Computer-Aided Discovery of Scientific Knowledge. Discovery Science 1998: 25-39 - [c40]Simon Handley, Pat Langley, Folke A. Rauscher:
Learning to Predict the Duration of an Automobile Trip. KDD 1998: 219-223 - [c39]Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia:
Generalizing over aspect and location for rooftop detection. WACV 1998: 194-199 - 1997
- [j28]Avrim Blum, Pat Langley:
Selection of Relevant Features and Examples in Machine Learning. Artif. Intell. 97(1-2): 245-271 (1997) - [j27]Pat Langley, Karl Pfleger, Mehran Sahami:
Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. 11(1-5): 315-342 (1997) - [j26]Brian Yamauchi, Pat Langley:
Place recognition in dynamic environments. J. Field Robotics 14(2): 107-120 (1997) - [j25]Pat Langley, Gregory M. Provan, Padhraic Smyth:
Learning with Probabilistic Representations. Mach. Learn. 29(2-3): 91-101 (1997) - [c38]Pat Langley:
Machine Learning for Intelligent Systems. AAAI/IAAI 1997: 763-769 - [c37]Pat Langley:
Learning to Sense Selectively in Physical Domains. Agents 1997: 217-226 - [c36]Pat Langley:
Machine Learning for Adaptive User Interfaces. KI 1997: 53-62 - 1996
- [j24]Kevin Knight, Pat Langley, Paul R. Cohen:
What makes a compelling empirical evaluation? IEEE Expert 11(5): 10-14 (1996) - [c35]Pat Langley:
Induction of Condensed Determinations. KDD 1996: 327-330 - [c34]George H. John, Pat Langley:
Static Versus Dynamic Sampling for Data Mining. KDD 1996: 367-370 - 1995
- [j23]Pat Langley, Herbert A. Simon:
Applications of Machine Learning and Rule Induction. Commun. ACM 38(11): 54-64 (1995) - [c33]Pat Langley, Karl Pfleger:
Case-Based Acquisition of Place Knowledge. ICML 1995: 344-352 - [c32]George H. John, Pat Langley:
Estimating Continuous Distributions in Bayesian Classifiers. UAI 1995: 338-345 - 1994
- [b1]Pat Langley:
Elements of Machine Learning. Morgan Kaufmann 1994, ISBN 1-55860-301-8 - [c31]Pat Langley, Wayne Iba, Jeff Shrager:
Reactive and Automatic Behavior in Plan Execution. AIPS 1994: 299-304 - [c30]Pat Langley, Stephanie Sage:
Induction of Selective Bayesian Classifiers. UAI 1994: 399-406 - 1993
- [j22]Bernd Nordhausen, Pat Langley:
An Integrated Framework for Empirical Discovery. Mach. Learn. 12: 17-47 (1993) - [c29]Pat Langley:
Induction of Recursive Bayesian Classifiers. ECML 1993: 153-164 - [c28]Pat Langley, Wayne Iba:
Average-Case Analysis of a Nearest Neighbor Algorithm. IJCAI 1993: 889-894 - 1992
- [c27]Pat Langley, Wayne Iba, Kevin Thompson:
An Analysis of Bayesian Classifiers. AAAI 1992: 223-228 - [c26]Wayne Iba, Pat Langley:
Induction of One-Level Decision Trees. ML 1992: 233-240 - [d1]Pat Langley, Douglas H. Fisher:
Quadruped Mammals. UCI Machine Learning Repository, 1992
- 1991
- [j21]Pat Langley, Kathleen B. McKusick, John A. Allen, Wayne Iba, Kevin Thompson:
A Design for the Icarus Architecture. SIGART Bull. 2(4): 104-109 (1991) - [c25]Pat Langley, John A. Allen:
The Acquisition of Human Planning Expertise. ML 1991: 80-84 - [c24]Kevin Thompson, Pat Langley, Wayne Iba:
Using Background Knowledge in Concept Formation. ML 1991: 554-558 - [c23]Kathleen B. McKusick, Pat Langley:
Constraints on Tree Structure in Concept Formation. IJCAI 1991: 810-816 - 1990
- [j20]Pat Langley:
Advice to Machine Learning Authors. Mach. Learn. 5: 233-237 (1990) - [c22]Bernd Nordhausen, Pat Langley:
A Robust Approach to Numeric Discovery. ML 1990: 411-418
1980 – 1989
- 1989
- [j19]John H. Gennari, Pat Langley, Douglas H. Fisher:
Models of Incremental Concept Formation. Artif. Intell. 40(1-3): 11-61 (1989) - [j18]Pat Langley, Jan M. Zytkow:
Data-Driven Approaches to Empirical Discovery. Artif. Intell. 40(1-3): 283-312 (1989) - [j17]Pat Langley:
Toward a Unified Science of Machine Learning. Mach. Learn. 3: 253-259 (1989) - [c21]Pat Langley:
Unifying Themes in Empirical and Explanation-Based Learning. ML 1989: 2-4 - [c20]John A. Allen, Pat Langley:
Using Concept Hierarchies to Organize Plan Knowledge. ML 1989: 229-231 - [c19]Kevin Thompson, Pat Langley:
Incremental Concept Formation with Composite Objects. ML 1989: 371-374 - [c18]James Wogulis, Pat Langley:
Improving Efficiency by Learning Intermediate Concepts. IJCAI 1989: 657-662 - 1988
- [j16]Pat Langley:
Machine Learning as an Experimental Science. Mach. Learn. 3: 5-8 (1988) - [c17]Dennis F. Kibler, Pat Langley:
Machine Learning as an Experimental Science. EWSL 1988: 81-92 - [c16]Wayne Iba, James Wogulis, Pat Langley:
Trading Off Simplicity and Coverage in Incremental concept Learning. ML 1988: 73-79 - [c15]Donald Rose, Pat Langley:
A Hill-Climbing Approach to Machine Discovery. ML 1988: 367-373 - 1987
- [j15]Wayne Iba, Pat Langley:
A computational theory of motor learning. Comput. Intell. 3: 338-350 (1987) - [j14]Pat Langley:
Machine Learning and Grammar Induction. Mach. Learn. 2(1): 5-8 (1987) - [j13]Pat Langley:
Machine Learning and Concept Formation. Mach. Learn. 2(2): 99-102 (1987) - [j12]Pat Langley:
Research Papers in Machine Learning. Mach. Learn. 2(3): 195-198 (1987) - [c14]Bernd Nordhausen, Pat Langley:
Towards an Integrated Discovery System. IJCAI 1987: 198-200 - 1986
- [j11]Pat Langley:
On Machine Learning. Mach. Learn. 1(1): 5-10 (1986) - [j10]Pat Langley:
Editorial: The Terminology of Machine Learning. Mach. Learn. 1(2): 141-144 (1986) - [j9]Pat Langley:
Editorial: Human and Machine Learning. Mach. Learn. 1(3): 243-248 (1986) - [j8]Pat Langley, Ryszard S. Michalski:
Machine Learning and Discovery. Mach. Learn. 1(4): 363-366 (1986) - [j7]Donald Rose, Pat Langley:
Chemical Discovery as Belief Revision. Mach. Learn. 1(4): 423-451 (1986) - [c13]Donald Rose, Pat Langley:
STAHLp: Belief Revision in Scientific Discovery. AAAI 1986: 528-532 - 1985
- [j6]Pat Langley:
Learning to Search: From Weak Methods to Domain-Specific Heuristics. Cogn. Sci. 9(2): 217-260 (1985) - [c12]Douglas H. Fisher, Pat Langley:
Approaches to Conceptual Clustering. IJCAI 1985: 691-697 - 1984
- [j5]Pat Langley, Jaime G. Carbonell:
Approaches to machine learning. J. Am. Soc. Inf. Sci. 35(5): 306-316 (1984) - [c11]Pat Langley, Stellan Ohlsson:
Automated Cognitive Modeling. AAAI 1984: 193-197 - 1983
- [j4]Pat Langley:
Representational Issues in Learning Systems. Computer 16(10): 47-51 (1983) - [j3]Pat Langley:
Learning Search Strategies through Discrimination. Int. J. Man Mach. Stud. 18(6): 513-541 (1983) - [c10]Stephanie Sage, Pat Langley:
Modeling Cognitive Development on the Balance Scale Task. IJCAI 1983: 94-96 - [c9]Pat Langley:
Learning Effective Search Heuristics. IJCAI 1983: 419-421 - [c8]Pat Langley, Jan M. Zytkow, Gary L. Bradshaw, Herbert A. Simon:
Three Facets of Scientific Discovery. IJCAI 1983: 465-468 - 1982
- [j2]Derek H. Sleeman, Pat Langley, Tom M. Mitchell:
Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Mag. 3(2): 48-52 (1982) - [c7]Pat Langley:
A Model of Early Syntactic Development. ACL 1982: 145-151 - [c6]Pat Langley:
Strategy Acquisition Governed by Experimentation. ECAI 1982: 171-176 - 1981
- [j1]Pat Langley:
Data-Driven Discovery of Physical Laws. Cogn. Sci. 5(1): 31-54 (1981) - [c5]Pat Langley, Gary L. Bradshaw, Herbert A. Simon:
BACON.5: The Discovery of Conservation Laws. IJCAI 1981: 121-126 - 1980
- [c4]Pat Langley:
A Production System Model Of First Language Acquisition. COLING 1980: 183-189
1970 – 1979
- 1979
- [c3]Pat Langley:
Rediscovering Physics with BACON.3. IJCAI 1979: 505-507 - 1977
- [c2]Michael D. Rychener, Charles Forgy, Pat Langley, John P. McDermott, Allen Newell, K. Ramakrishna:
Problems in Building an Instructable Production System. IJCAI 1977: 337 - [c1]Pat Langley:
BACON: A Production System That Discovers Empirical Laws. IJCAI 1977: 344
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
