Pat Langley - Publications

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Computer Science, Operations Research

65 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Langley P. Scientific discovery, causal explanation, and process model induction Mind & Society. 18: 43-56. DOI: 10.1007/S11299-019-00216-1  0.519
2018 Choi D, Langley P. Evolution of the Icarus Cognitive Architecture Cognitive Systems Research. 48: 25-38. DOI: 10.1016/J.Cogsys.2017.05.005  0.317
2017 Langley P. Interactive Cognitive Systems and Social Intelligence Ieee Intelligent Systems. 32: 22-30. DOI: 10.1109/Mis.2017.3121556  0.301
2015 Dinar M, Danielescu A, MacLellan C, Shah JJ, Langley P. Problem Map: An Ontological Framework for a Computational Study of Problem Formulation in Engineering Design Journal of Computing and Information Science in Engineering. 15. DOI: 10.1115/1.4030076  0.341
2015 Langley P, Arvay A. Heuristic induction of rate-based process models Proceedings of the National Conference On Artificial Intelligence. 1: 537-543.  0.387
2014 Langley P, Meadows B, Gabaldon A, Heald R. Abductive understanding of dialogues about joint activities Interaction Studies. 15: 426-454. DOI: 10.1075/Is.15.3.04Lan  0.355
2014 Langley P, Pearce C, Barley M, Emery M. Bounded rationality in problem solving: Guiding search with domain-independent heuristics Mind and Society. 13: 83-95. DOI: 10.1007/S11299-014-0143-Y  0.314
2012 Blisard S, Carmichael T, Ding L, Finin T, Frost W, Graesser A, Hadzikadic M, Kagal L, Kruijff GJM, Langley P, Lester J, McGuinness DL, Mostow J, Papadakis P, Pirri F, et al. Reports of the AAAI 2011 fall symposia Ai Magazine. 33: 71-78. DOI: 10.1609/Aimag.V33I1.2391  0.326
2011 Langley P. The changing science of machine learning Machine Learning. 82: 275-279. DOI: 10.1007/S10994-011-5242-Y  0.431
2011 Langley P, Bridewell W. Combining data-driven and knowledge-guided methods to induce interpretable physiological models Aaai Spring Symposium - Technical Report. 32-36.  0.732
2010 Bridewell W, Langley P. Two kinds of knowledge in scientific discovery. Topics in Cognitive Science. 2: 36-52. PMID 25163620 DOI: 10.1111/J.1756-8765.2009.01050.X  0.743
2009 Bridewell W, Borrett SR, Langley P. Supporting Innovative Construction of Explanatory Scientific Models Tools For Innovation. DOI: 10.1093/acprof:oso/9780195381634.003.0011  0.69
2009 Könik T, O’Rorke P, Shapiro D, Choi D, Nejati N, Langley P. Skill transfer through goal-driven representation mapping Cognitive Systems Research. 10: 270-285. DOI: 10.1016/J.Cogsys.2008.09.008  0.338
2009 Langley P, Choi D, Rogers S. Acquisition of hierarchical reactive skills in a unified cognitive architecture Cognitive Systems Research. 10: 316-332. DOI: 10.1016/J.Cogsys.2008.07.003  0.421
2009 Langley P, Laird JE, Rogers S. Cognitive architectures: Research issues and challenges Cognitive Systems Research. 10: 141-160. DOI: 10.1016/J.Cogsys.2006.07.004  0.34
2008 Cassimatis NL, Bello P, Langley P. Ability, breadth, and parsimony in computational models of higher-order cognition. Cognitive Science. 32: 1304-22. PMID 21585455 DOI: 10.1080/03640210802455175  0.414
2008 Bridewell W, Langley P, Todorovski L, Džeroski S. Inductive process modeling Machine Learning. 71: 1-32. DOI: 10.1007/S10994-007-5042-6  0.754
2007 Borrett SR, Bridewell W, Langley P, Arrigo KR. A method for representing and developing process models Ecological Complexity. 4: 1-12. DOI: 10.1016/J.Ecocom.2007.02.017  0.738
2006 Langley P, Shiran O, Shrager J, Todorovski L, Pohorille A. Constructing explanatory process models from biological data and knowledge. Artificial Intelligence in Medicine. 37: 191-201. PMID 16781850 DOI: 10.1016/J.Artmed.2006.04.003  0.489
2006 Langley P. Cognitive architectures and general intelligent systems Ai Magazine. 27: 33-34. DOI: 10.1609/Aimag.V27I2.1878  0.355
2006 Bridewell W, Sánchez JN, Langley P, Billman D. An interactive environment for the modeling and discovery of scientific knowledge International Journal of Human Computer Studies. 64: 1099-1114. DOI: 10.1016/J.Ijhcs.2006.06.006  0.731
2006 Asgharbeygi N, Langley P, Bay S, Arrigo K. Inductive revision of quantitative process models Ecological Modelling. 194: 70-79. DOI: 10.1016/J.Ecolmodel.2005.10.008  0.539
2006 Bridewell W, Langley P, Racunas S, Borrett S. Learning process models with missing data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4212: 557-565.  0.721
2005 Bridewell W, Asadi NB, Langley P, Todorovski L. Reducing overfitting in process model induction Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 81-88. DOI: 10.1145/1102351.1102362  0.747
2005 Ichise R, Shapiro D, Langley P. Structured program induction from behavioral traces Systems and Computers in Japan. 36: 49-59. DOI: 10.1002/Scj.V36:11  0.331
2004 Lavrač N, Motoda H, Fawcett T, Holte R, Langley P, Adriaans P. Introduction: Lessons learned from data mining applications and collaborative problem solving Machine Learning. 57: 13-34. DOI: 10.1023/B:Mach.0000035516.74817.51  0.419
2004 Schroedl S, Wagstaff K, Rogers S, Langley P, Wilson C. Mining GPS Traces for Map Refinement Data Mining and Knowledge Discovery. 9: 59-87. DOI: 10.1023/B:Dami.0000026904.74892.89  0.312
2003 Maloof MA, Langley P, Binford TO, Nevatia R, Sage S. Improved Rooftop Detection in Aerial Images with Machine Learning Machine Learning. 53: 157-191. DOI: 10.1023/A:1025623527461  0.346
2003 Todorovski L, Džeroski S, Langley P, Potter C. Using equation discovery to revise an Earth ecosystem model of the carbon net production Ecological Modelling. 170: 141-154. DOI: 10.1016/S0304-3800(03)00222-9  0.408
2002 Bay SD, Shrager J, Pohorille A, Langley P. Revising regulatory networks: from expression data to linear causal models. Journal of Biomedical Informatics. 35: 289-97. PMID 12968777 DOI: 10.1016/S1532-0464(03)00031-5  0.365
2002 Shrager J, Langley P, Pohorille A. Guiding revision of regulatory models with expression data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 486-97. PMID 11928501  0.359
2001 Iba W, Langley P. Unsupervised learning of probabilistic concept hierarchies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2049: 39-70. DOI: 10.1007/3-540-44673-7_3  0.422
2001 Langley P. The computational support of scientific discovery Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2049: 230-248. DOI: 10.1006/Ijhc.2000.0396  0.371
1997 Langley P, Provan GM, Smyth P. Machine Learning. 29: 91-101. DOI: 10.1023/A:1007467927290  0.491
1997 Langley P, Pfleger K, Sahami M. Lazy Acquisition of Place Knowledge Artificial Intelligence Review. 11: 315-342. DOI: 10.1023/A:1006545731094  0.409
1997 Blum AL, Langley P. Selection of relevant features and examples in machine learning Artificial Intelligence. 97: 245-271. DOI: 10.1016/S0004-3702(97)00063-5  0.397
1997 Langley P. Machine learning for adaptive user interfaces Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1303: 53-62. DOI: 10.1007/3540634932_3  0.364
1997 Yamauchi B, Langley P. Place recognition in dynamic environments Journal of Robotic Systems. 14: 107-120. DOI: 10.1002/(Sici)1097-4563(199702)14:2<107::Aid-Rob5>3.0.Co;2-W  0.333
1996 Langley P. Empirical Methods in Artificial Intelligence: A Review Ai Magazine. 17: 95. DOI: 10.1609/Aimag.V17I3.1234  0.411
1996 Langley P. Relevance and insight in experimental studies Ieee Expert-Intelligent Systems and Their Applications. 11: 11-12. DOI: 10.1109/64.539009  0.394
1995 Langley P, Simon HA. Applications of machine learning and rule induction Communications of the Acm. 38: 54-64. DOI: 10.1145/219717.219768  0.564
1993 Nordhausen B, Langley P. An Integrated Framework for Empirical Discovery Machine Learning. 12: 17-47. DOI: 10.1007/Bf00993059  0.397
1990 Langley P. Editorial: Advice to Machine Learning Authors Machine Learning. 5: 233-237. DOI: 10.1023/A:1022647305786  0.355
1990 Langley P. Approaches to learning and representation Behavioral and Brain Sciences. 13: 500-501. DOI: 10.1017/S0140525X00079875  0.374
1990 Fisher D, Langley P. The Structure and Formation of Natural Categories Psychology of Learning and Motivation - Advances in Research and Theory. 26: 241-284. DOI: 10.1016/S0079-7421(08)60056-0  0.429
1989 Langley P. Toward a Unified Science of Machine Learning Machine Learning. 3: 253-259. DOI: 10.1023/A:1022689616458  0.425
1989 Langley P, Zytkow JM. Data-driven approaches to empirical discovery Artificial Intelligence. 40: 283-312. DOI: 10.1016/0004-3702(89)90051-9  0.397
1989 Gennari JH, Langley P, Fisher D. Models of incremental concept formation Artificial Intelligence. 40: 11-61. DOI: 10.1016/0004-3702(89)90046-5  0.496
1988 Langley P. Machine Learning as an Experimental Science Machine Learning. 3: 5-8. DOI: 10.1023/A:1022623814640  0.364
1987 Langley P. Machine Learning and Concept Formation Machine Learning. 2: 99-102. DOI: 10.1023/A:1022896407371  0.368
1987 Langley P. Research Papers in Machine Learning Machine Learning. 2: 195-198. DOI: 10.1023/A:1022603230145  0.384
1987 Langley P. Structure and process in schema-based architectures Behavioral and Brain Sciences. 10: 442. DOI: 10.1017/S0140525X00023426  0.304
1987 Langley P. Machine learning and grammar induction Machine Learning. 2: 5-8. DOI: 10.1007/Bf00058752  0.355
1986 Rose D, Langley P. Chemical Discovery as Belief Revision Machine Learning. 1: 423-452. DOI: 10.1023/A:1022870800276  0.425
1986 Langley P. Editorial: Human and Machine Learning Machine Learning. 1: 243-248. DOI: 10.1023/A:1022854429410  0.448
1986 Langley P. Editorial: The Terminology of Machine Learning Machine Learning. 1: 141-144. DOI: 10.1023/A:1022840627593  0.357
1986 Langley P, Michalski RS. Editorial: Machine Learning and Discovery Machine Learning. 1: 363-366. DOI: 10.1023/A:1022814715297  0.362
1986 Langley P. Editorial: On Machine Learning Machine Learning. 1: 5-10. DOI: 10.1023/A:1022687019898  0.356
1986 Langley P. Induction and explanation: Complementary models of learning Behavioral and Brain Sciences. 9: 661-662. DOI: 10.1017/S0140525X00051694  0.454
1985 Langley P. Learning to search: From weak methods to domain-specific heuristics Cognitive Science. 9: 217-260. DOI: 10.1016/S0364-0213(85)80015-X  0.315
1983 Langley P. Exploring the space of cognitive architectures Behavior Research Methods &Amp; Instrumentation. 15: 289-299. DOI: 10.3758/Bf03203563  0.35
1983 Langley P. Learning search strategies through discrimination International Journal of Man-Machine Studies. 18: 513-541. DOI: 10.1016/S0020-7373(83)80030-3  0.404
1982 Sleeman DH, Langley P, Mitchell TM. Learning from Solution Paths: An Approach to the Credit Assignment Problem Ai Magazine. 3: 48-52. DOI: 10.1609/Aimag.V3I2.372  0.41
1981 Langley P. Data-driven discovery of physical laws Cognitive Science. 5: 31-54. DOI: 10.1111/J.1551-6708.1981.Tb00869.X  0.349
1979 Langley P. A production system model for the induction of mathematical functions Behavioral Science. 24: 121-139. DOI: 10.1002/Bs.3830240206  0.367
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