Pat Langley's Papers by Year


2017

Langley, P. (in press). Interactive cognitive systems and social intelligence. IEEE Expert.

Langley, P., & Arvay, A. (in press). Flexible model induction through heuristic process discovery. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. San Francisco: AAAI Press.

Langley, P., Meadows, B., Sridharan, M., & Choi, D. (in press). Explainable agency for intelligent autonomous systems. Proceedings of the Twenty-Ninth Annual Conference on Innovative Applications of Artificial Intelligence. San Francisco: AAAI Press.

Langley, P. (in press). Progress and challenges in research on cognitive architectures. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. San Francisco: AAAI Press.

2016

Langley, P., Barley, M., Meadows, B., Choi, D., & Katz, E. P. (2016). Goals, utilities, and mental simulation in continuous planning. Proceedings of the Fourth Annual Conference on Cognitive Systems. Evanston, IL.

Arvay, A., & Langley, P. (2016). Selective induction of rate-based process models. Proceedings of the Fourth Annual Conference on Cognitive Systems. Evanston, IL.

Langley, P. (2016). An architectural account of variation in problem solving and execution. Proceedings of the Thirty-Eighth Annual Meeting of the Cognitive Science Society. Philadelphia, PA.

Langley, P., Pearce, C., Bai, Y., Barley, M., & Worsfold, C. (2016). Variations on a theory of problem solving. Proceedings of the Fourth Annual Conference on Cognitive Systems. Evanston, IL.

Langley, P. (2016). Recent advances in cognitive systems. Advances in Cognitive Systems, 4, 1.

Langley, P. (2016). The central role of cognition in learning. Advances in Cognitive Systems, 4, 3-12.

Arvay, A., & Langley, P. (2016). Heuristic adaptation of scientific process models. Advances in Cognitive Systems, 4, 207-226.

2015

Dinar, M., Park, Y.-S., Shah, J. J., & Langley, P. (2015). Patterns of creative design: Predicting ideation from problem formulation. Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. Boston: ASME.

To, S. T., Langley, P., & Choi, D. (2015). A unified framework for knowledge-lean and knowledge-rich planning. Proceedings of the Third Annual Conference on Cognitive Systems. Atlanta, GA.

Meadows, B., Heald, R., & Langley, P. (2015). An integrated account of explanation and question answering. Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. Pasadena, CA.

Arvay, A., & Langley, P. (2015). Heuristic adaptation of rate-based process models. Proceedings of the Third Annual Conference on Cognitive Systems. Atlanta, GA.

Pearce, C., Bai, Y., Langley, P., & Worsfold, C. (2015). Problem solving through successive decomposition. Unpublished manuscript, Department of Computer Science, University of Auckland, Auckland, NZ.

Bai, Y., Pearce, C., Langley, P., Barley, M., & Worsfold, C. (2015). An architecture for flexibly interleaving planning and execution. Poster Collection: The Third Annual Conference on Advances in Cognitive Systems. Atlanta, GA.

Dinar, M., Danielescu, A., Maclellan, C., Shah, J. J., & Langley, P. (2015). Problem Map: An ontological framework for a computational study of problem formulation in engineering design. Journal of Computing and Information Science in Engineering, 15, 031007/1-10.

Langley, P., & Arvay, A. (2015). Heuristic induction of rate-based process models. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (pp. 537-543). Austin, TX: AAAI Press.

Gabaldon, A., & Langley, P. (2015). Dialogue understanding in a logic of action and belief. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (pp. 515-521). Austin, TX: AAAI Press.

Gabaldon, A., Meadows, B., & Langley, P. (2015). Knowledge-guided interpretation and generation of task-oriented dialogue. In A. Raux, W. Minker, & I. Lane (Eds.), Situated dialog in speech-based human-computer interaction. Berlin: Springer.

2014

Meadows, B., Langley, P., & Emery, M. (2014). An abductive approach to understanding social interactions. Advances in Cognitive Systems, 3, 87-106.

Gabaldon, A., Langley, P., & Meadows, B. (2014). Integrating meta-level and domain-level knowledge for task-oriented dialogue. Advances in Cognitive Systems, 3, 201-219.

Langley, P. (2014). Four research challenges for cognitive systems. Advances in Cognitive Systems, 3, 3-11.

Langley, P. (2014). Continuing advances in cognitive systems. Advances in Cognitive Systems, 3, 1.

Langley, P., Meadows, B., Gabaldon, A., & Heald, R. (2014). Abductive understanding of dialogues about joint activities. Interaction Studies, 15, 426-454.

Pearce, C., Meadows, B., Langley, P., & Barley, M. (2014). Social planning: Achieving goals by altering others' mental states. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (pp. 402-408). Quebec City, Quebec: AAAI Press.

Langley, P., Pearce, C., Barley, M., & Emery, M. (2014). Bounded rationality in problem solving: Guiding search with domain-independent heuristics. Mind and Society, 13, 83-95.

Gabaldon, A., Meadows, B., & Langley, P. (2014). Integrated interpretation and generation of task-oriented dialog. Proceedings of the Fifth International Workshop on Spoken Dialog Systems . Napa, CA.

2013

Meadows, B., Langley, P., & Emery, M. (2013). Understanding social interactions using incremental abductive inference. Proceedings of the Second Annual Conference on Advances in Cognitive Systems (pp. 305-312). Baltimore, MD.

Gabaldon, A., Langley, P., & Meadows, B. (2013). Integrating meta-level and domain-level knowledge for interpretation and generation of task-oriented dialogue. Proceedings of the Second Annual Conference on Advances in Cognitive Systems. Baltimore, MD.

Langley, P. (2013). Three challenges for research on integrated cognitive systems. Proceedings of the Second Annual Conference on Advances in Cognitive Systems. Baltimore, MD.

Langley, P., Emery, M., Barley, M., & MacLellan, C. (2013). An architecture for flexible problem solving. Poster Collection: The Second Annual Conference on Advances in Cognitive Systems (pp. 93-110). Baltimore, MD.

Langley, P., & Trivedi, N. (2013). Elaborations on a theory of human problem solving. Poster Collection: The Second Annual Conference on Advances in Cognitive Systems (pp. 111-122). Baltimore, MD.

Liu, L., Langley, P., & Meadows, B. (2013). A computational account of complex moral judgement. Proceedings of the Annual Meeting of the International Association for Computing and Philosophy. College Park, MD: IACAP.

MacLellan, C. J., Langley, P., Shah, J., Dinar, M. (2013). A computational aid for problem formulation in early conceptual design. Journal of Computing and Information Science in Engineering, 13, 031005/1-10.

Meadows, B., Langley, P., & Emery, M. (2013). Incremental abductive reasoning for plan understanding. Proceedings of the AAAI-13 Workshop on Plan, Activity, and Intent Recognition. Bellevue, WA: AAAI Press.

2012

Langley, P. (2012). Intelligent behavior in humans and machines. Advances in Cognitive Systems, 2, 3-12.

Langley, P. (2012). A new conference for cognitive systems. Advances in Cognitive Systems, 2, 1.

Li, N., Stracuzzi, D. J., & Langley, P. (2012). Improving acquisition of teleoreactive logic programs through representation extension. Advances in Cognitive Systems, 1, 109-126.

Langley, P., & Hunt, H. (2012). A Web-based environment for explanatory biological modeling. Proceedings of the AAAI Fall Symposium on Discovery Informatics. Arlington, VA: AAAI Press.

Danielescu, A., Dinar, M., MacLellan, C. J., Shah, J., & Langley, P. (2012). The structure of creative design: what problem maps can tell us about problem formulation and creative designers. Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. Chicago, IL: ASME.

Todorovski, L., Bridewell, W., & Langley, P. (2012). Discovering constraints for inductive process modeling. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (pp. 256-262). Toronto: AAAI Press.

Langley, P. (2012). The cognitive systems paradigm. Advances in Cognitive Systems, 1, 3-13.

Langley, P. (2012). A new journal for cognitive systems. Advances in Cognitive Systems, 1, 1-2.

Dinar, M., MacLellan, C. J., Danielescu, A., Shah, J., & Langley, P. (2012). Beyond Function-Behavior-Structure. Proceedings of the Fifth International Conference on Design Computing and Cognition. College Station, TX: Springer Press.

Langley, P. (2012). Advances in cognitive systems. AI Magazine.

Langley, P. (2012). Artificial intelligence and cognitive systems. AISB Quarterly, 133, 1-4.

2011

Li, N., Stracuzzi, D., & Langley, P. (2011). Improving acquisition of teleoreactive logic programs through representation change. Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems. Arlington, VA: AAAI Press.

Trivedi, N., Langley, P., Schermerhorn, P., & Scheutz, M. (2011). Communicating, interpreting, and executing high-level instructions for human-robot interaction. Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems. Arlington, VA: AAAI Press.

Bridewell, W., & Langley, P. (2011). A computational account of everyday abductive inference. Proceedings of the Thirty-Third Annual Meeting of the Cognitive Science Society. Boston.

Iba, W. F., & Langley, P. (2011). Exploring moral reasoning in a cognitive architecture. Proceedings of the Thirty-Third Annual Meeting of the Cognitive Science Society. Boston.

Langley, P. (2011). The changing science of machine learning. Machine Learning, 82, 275-279.

Iba, W. F., & Langley, P. (2011). Cobweb models of categorization and probabilistic concept formation. In E. M. Pothos & A. J. Willis (Eds.), Formal approaches in categorization. Cambridge: Cambridge University Press.

2010

Langley, P., Trivedi, N., & Banister, M. (2010). A command language for taskable virtual agents. Proceedings of the Sixth Conference Artificial Intelligence and Interactive Digital Entertainment. Stanford, CA: AAAI Press.

Langley, P. (2010). An interactive environment for explanatory biological modeling. Proceedings of the Thirty-Second Annual Meeting of the Cognitive Science Society. Portland.

Danielescu, A., Stracuzzi, D. J., Li, N., & Langley, P. (2010). Learning from errors by counterfactual reasoning in a unified cognitive architecture. Proceedings of the Thirty-Second Annual Meeting of the Cognitive Science Society. Portland.

Park, C., Bridewell, W., & Langley, P. (2010). Integrated systems for inducing spatio-temporal process models. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (pp. 1555-1560). Atlanta: AAAI Press.

Bridewell, W., & Langley, P. (2010). Two kinds of knowledge in scientific discovery. Topics in Cognitive Science, 2, 36-52.

2009

Konik, T., O'Rorke, P., Shapiro, D., Choi, D., Nejati, N., & Langley, P. (2009). Skill transfer through goal-driven representation mapping. Cognitive Systems Research, 10, 270-285.

Li, N., Stracuzzi, D. J., Langley, P., & Nejati, N. (2009). Learning hierarchical skills from problem solutions using means-ends analysis. Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society. Amsterdam.

Bridewell, W., Borrett, S. R., & Langley, P. (2009). Supporting the construction of dynamic scientific models. In A. Markman (Ed.), Tools for innovation. New York: Oxford University Press.

Stracuzzi, D. J., Li, N., Cleveland, G., & Langley, P. (2009). Representing and reasoning over time in a cognitive architecture. Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society. Amsterdam.

Langley, P., Choi, D., & Rogers, S. (2009). Acquisition of hierarchical reactive skills in a unified cognitive architecture. Cognitive Systems Research, 10, 316-332.

Li, N., Stracuzzi, D., Cleveland, G., Langley, P., Konik, T., Shapiro, D., Ali, K., Molineaux, M., & Aha, D. (2009). Learning hierarchical skills for game agents from video of human behavior. Proceedings of the IJCAI-09 Workshop on Learning Structural Knowledge from Observations. Pasadena, CA.

Langley, P., Laird, J. E., & Rogers, S. (2009). Cognitive architectures: Research issues and challenges. Cognitive Systems Research, 10, 141-160.

2008

Cassimatis, N. L., Bello, P., & Langley, P. (2008). Ability, breadth and parsimony in computational models of higher-order cognition. Cognitive Science, 32, 1304–1322.

Bridewell, W., & Langley, P. (2008). Processes and constraints in scientific model construction. Proceedings of the Microsoft Research eScience Workshop. Indianalopis, IN.

Li, N., Stracuzzi, D., & Langley, P. (2008). Learning conceptual predicates for teleoreactive logic programs. Proceedings of the Eighteenth International Conference on Inductive Logic Programming: Late-Breaking Papers. Prague: Springer.

Langley, P., & Bridewell, W. (2008). An interdisciplinary curriculum in science informatics. In Y. Xu (Ed.), Transform science - Computational education for scientists (Vol. 2): What to Teach? Redmond, WA: Microsoft Research.

Langley, P., & Bridewell, W. (2008). Processes and constraints in explanatory scientific discovery. Proceedings of the Thirtieth Annual Meeting of the Cognitive Science Society. Washingon, D.C.

Bridewell, W., Langley, P., Todorovski, L., & Dzeroski, S. (2008). Inductive process modeling. Machine Learning, 71, 1-32.

2007

Dzeroski, S., Langley, P., & Todorovski, L. (2007). Computational discovery of scientific knowledge. In S. Dzeroski & L. Todorovski (Eds.), Computational discovery of communicable scientific knowledge. Berlin: Springer.

Li, N., Choi, D., & Langley, P. (2007). Adding goal priorities to teleoreactive logic programs. Proceedings of the International Symposium on Skill Science. Tokyo, Japan

Dietterich, T. G., & Langley, P. (2007). Machine learning for cognitive networks: Technology assessment and research challenges. In Q. Mahmoud (Ed.), Cognitive Networks: Towards Self-Aware Networks. New York: John Wiley.

Schwabacher, M., & Langley, P. (2007). Discovering communicable scientific knowledge from spatio-temporal data. In S. Dzeroski & L. Todorovski (Eds.), Computational discovery of communicable scientific knowledge. Berlin: Springer.

Choi, D., Morgan, M., Park, C., & Langley, P. (2007). A testbed for evaluation of architectures for physical agents. Proceedings of the AAAI-2007 Workshop on Evaluating Architectures for Intelligence. Vancouver, BC: AAAI Press

Langley, P. (2007). Varieties of problem solving in a unified cognitive architecture. Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society. Nashville, TN.

Saito, K., & Langley, P. (2007). Quantitative revision of scientific models. In S. Dzeroski & L. Todorovski (Eds.), Computational discovery of communicable scientific knowledge. Berlin: Springer.

Choi, D., Konik, T., Nejati, N., Park, C., & Langley, P. (2007). Structural transfer of cognitive skills. Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.

Choi, D., Konik, T., Nejati, N., Park, C., & Langley, P. (2007). A believable agent for first-person shooter games. Proceedings of the Third Annual Artificial Intelligence and Interactive Digital Entertainment Conference (pp. 71-73). Stanford, CA: AAAI Press.

Nerb, J., Ritter, F.\ E., & Langley, P. (2007). Rules of order: Process models of human learning. In F. E. Ritter, J. Nerb, T. O'Shea, & E. Lehtinen (Eds.), In order to learn: How the sequences of topics affect learning. New York: Oxford University Press.

Borrett, S. R., Bridewell, W., Langley, P., & Arrigo, K. R. (2007). A method for representing and developing process models. Ecological Complexity, 4, 1-12.

2006

Bridewell, W., Langley P., Racunas, S., & Borrett, S. (2006). Learning process models with missing data. Proceedings of the Seventeenth European Conference on Machine Learning (pp. 557-565). Springer: Berlin.

Langley, P., & Bridewell, W. (2006). Scientific reasoning and artificial intelligence (Technical Report). Computational Learning Laboratory, CSLI, Stanford University, CA.

Langley, P., & Laird, J. E. (2006). Artificial intelligence and intelligent systems (Technical Report). Computational Learning Laboratory, CSLI, Stanford University, CA.

Langley, P. (2006). Intelligent behavior in humans and machines (Technical Report). Computational Learning Laboratory, CSLI, Stanford University, CA.

Bridewell, W., Sanchez, J. N., Langley, P., & Billman, D. (2006). An interactive environment for the modeling and discovery of scientific knowledge. International Journal of Human-Computer Studies, 64, 1099-1114.

Langley, P., & Choi, D. (2006). A unified cognitive architecture for physical agents. Proceedings of the Twenty-First National Conference on Artificial Intelligence. Boston: AAAI Press.

Nejati, N., Langley, P., & Konik, T. (2006). Learning hierarchical task networks by observation. Proceedings of the Twenty-Third International Conference on Machine Learning (pp. 665-672). Pittsburgh, PA.

Asgharbeygi, N., Stracuzzi, D., & Langley, P. (2006). Relational temporal difference learning. Proceedings of the Twenty-Third International Conference on Machine Learning (pp. 49-56). Pittsburgh, PA.

Langley, P., Shiran, O., Shrager, J., Todorovski, L., & Pohorille, A. (2006). Constructing explanatory process models from biological data and knowledge. AI in Medicine, 37, 191-201.

Langley, P. (2006). Cognitive architectures and general intelligent systems. AI Magazine, 27, 33-44.

Langley, P., & Choi, D. (2006). Learning recursive control programs from problem solving. Journal of Machine Learning Research, 7, 493-518.

Asgharbeygi, N., Bay, S., Langley, P., & Arrigo, K. (2006). Inductive revision of quantitative process models. Ecological Modelling, 194, 70-79.

2005

Jones, R. M., & Langley, P. (2005). A constrained architecture for learning and problem solving. Computational Intelligence, 21, 480-502.

Langley, P. (2005). An adaptive architecture for physical agents. Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (pp. 18-25). Compiegne, France: IEEE Computer Society Press.

Bridewell, W., Bani Asadi, N., Langley, P., & Todorovski, L. (2005). Reducing overfitting in process model induction. Proceedings of the Twenty-Second International Conference on Machine Learning (pp. 81-88). Bonn, Germany.

Choi, D., & Langley, P. (2005). Learning teleoreactive logic programs from problem solving. Proceedings of the Fifteenth International Conference on Inductive Logic Programming (pp. 51-68). Bonn, Germany: Springer.

Langley, P., & Rogers, S. (2005). An extended theory of human problem solving. Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society. Stresa, Italy.

Asgharbeygi, N., Nejati, N., Langley, P., & Arai, S. (2005). Guiding inference through relational reinforcement learning. Proceedings of the Fifteenth International Conference on Inductive Logic Programming (pp. 20-37). Bonn, Germany: Springer.

Todorovski, L., Bridewell, W., Shiran, O., & Langley, P. (2005). Inducing hierarchical process models in dynamic domains. Proceedings of the Twentieth National Conference on Artificial Intelligence (pp. 892-897). Pittsburgh, PA: AAAI Press.

2004

Shapiro, D., Billman, D., Marker, M., & Langley, P. (2004). A human-centered approach to monitoring complex dynamic systems (Technical Report). Institute for the Study of Learning and Expertise, Palo Alto, CA.

Langley, P., & Rogers, S. (2004). Cumulative learning of hierarchical skills. Proceedings of the Third International Conference on Development and Learning. San Diego, CA: IEEE Press.

Asgharbeygi, N., Bay, S., Langley, P., & Arrigo, K. (2004). Computational revision of ecological process models. Proceedings of the Fourth International Workshop on Environmental Applications of Machine Learning (pp. 13-14). Bled, Slovenia.

Langley, P., Shrager, J., Asgharbeygi, N., Bay, S., & Pohorille, A. (2004). Inducing explanatory process models from biological time series Proceedings of the Ninth Workshop on Intelligent Data Analysis and Data Mining (pp. 85-90). Stanford, CA.

Langley, P., & Messina, E. (2004). Experimental studies of integrated cognitive systems. Proceedings of the Performance Metrics for Intelligent Systems Workshop. Gaithersburg, MD.

Langley, P. (2004). Cognitive architectures and the construction of intelligent agents. Proceedings of the AAAI-2004 Workshop on Intelligent Agent Architectures (pp. 82). Stanford, CA.

Langley, P., Arai, S., & Shapiro, D. (2004). Model-based learning with hierarchical relational skills. Proceedings of the ICML-2004 Workshop on Relational Reinforcement Learning. Banff, Alberta.

Langley, P., Cummings, K., & Shapiro, D. (2004). Hierarchical skills and cognitive architectures. Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society (pp. 779-784). Chicago, IL.

Choi, D., Kaufman, M., Langley, P., Nejati, N., & Shapiro, D. (2004). An architecture for persistent reactive behavior. Proceedings of the Third International Joint Conference on Autonomous Agents and Multi Agent Systems (pp. 988-995). New York: ACM Press.

Lavrac, N., Motoda, H., Fawcett, T., Holte, R., Langley, P., & Adriaans, P. (2004). Lessons learned from data mining applications and collaborative problem solving. Machine Learning, 57, 13-34.

Langley, P., Choi, D., & Shapiro, D. (2004). A cognitive architecture for physical agents (Technical Report). Institute for the Study of Learning and Expertise, Palo Alto, CA.

Ichise, R., Shapiro, D., & Langley, P. (2004). Structured program induction from behavioral traces. IEICE Transactions on Information and Systems, J87-D-1, 730-740 (in Japanese).

Schroedl, S., Wagstaff, K., Rogers, S., Langley, P., & Wilson, C. (2004). Mining GPS traces for map refinement. Knowledge Discovery and Data Mining, 9, 59-87.

Langley, P. (2004). Heuristics for scientific discovery: The legacy of Herbert Simon. In M. E. Augier & J. G. March (Eds.), Models of a Man: Essays in Memory of Herbert A. Simon. Cambridge, MA: MIT Press.

Thompson, C. A., Göker, M., & Langley, P. (2004). A personalized system for conversational recommendations. Journal of Artificial Intelligence Research, 21, 393-428.

2003

Todorovski, L., Dzeroski, S., Langley, P., & Potter, C. (2003). Using equation discovery to revise an Earth ecosystem model of carbon net production. Ecological Modelling, 170, 141-154.

Sanchez, J. N., & Langley, P. (2003). An interactive environment for scientific model construction. Proceedings of the Second International Conference on Knowledge Capture (pp. 138-145). Sanibel Island, FL: ACM Press.

George, D., Saito, K., Langley, P., Bay, S., & Arrigo, K. (2003). Discovering ecosystem models from time-series data. Proceedings of the Sixth International Conference on Discovery Science (pp. 141-152). Saporro, Japan: Springer.

Langley, P., George, D., Bay, S., & Saito, K. (2003). Robust induction of process models from time-series data. Proceedings of the Twentieth International Conference on Machine Learning (pp. 432-439). Washington, D.C.: AAAI Press.

Maloof, M. A., Langley, P., Binford, T. O., Nevatia, R., & Sage, S. (2003). Improved rooftop detection in aerial images with machine learning. Machine Learning, 53, 157-191.

Bay, S. D., Shrager, J., Pohorille, A., & Langley, P. (2003). Revising regulatory networks: From expression data to linear causal models. Journal of Biomedical Informatics, 35, 289-297.

Saito, K., George, D., Bay, S., & Shrager, J. (2003). Inducing biological models from temporal gene expression data. Proceedings of the Sixth International Conference on Discovery Systems. Sapporo, Japan.

Langley, P., Shapiro, D., Aycinena, M., & Siliski, M. (2003). A value-driven architecture for intelligent behavior. Proceedings of the IJCAI-2003 Workshop on Cognitive Modeling of Agents and Multi-Agent Interactions (pp. 10-18). Acapulco, Mexico.

Yoo, J., Gervasio, M., & Langley, P. (2003). An adaptive stock tracker for personalized trading advice. Proceedings of the International Conference on Intelligent User Interfaces (pp. 197-203). Miami, Florida.

Chrisman, L., Langley, P., Bay, S., & Pohorille, A. (2003). Incorporating biological knowledge into evaluation of causal regulatory hypotheses. Proceedings of the Pacific Symposium on Biocomputing (pp. 128-139). Lihue, Hawaii.

2002

Saito, K., Bay, S., & Langley, P. (2002). Revising qualitative models of gene regulation. Proceedings of the Fifth International Conference on Discovery Science (pp. 59-70).

Langley, P. (2002). Lessons for the computational discovery of scientific knowledge. Proceedings of First International Workshop on Data Mining Lessons Learned (pp. 9-12). Sydney.

Bay, S. D., Shapiro, D. G., & Langley, P. (2002). Revising engineering models: Combining computational discovery with knowledge. Proceedings of the Thirteenth European Conference on Machine Learning (pp. 10-22). Helsinki, Finland.

Ichise, R., Shapiro, D. G., & Langley, P. (2002). Learning hierarchical skills from observation. Proceedings of the Fifth International Conference on Discovery Science (pp. 247-258).

Langley, P., Sanchez, J., Todorovski, L., & Dzeroski, S. (2002). Inducing process models from continuous data. Proceedings of the Nineteenth International Conference on Machine Learning (pp. 347-354). Sydney: Morgan Kaufmann.

Shapiro, D., & Langley, P. (2002). Separating skills from preference: Using learning to program by reward. Proceedings of the Nineteenth International Conference on Machine Learning (pp. 570-577). Sydney: Morgan Kaufmann.

Langley, P., Shrager, J., & Saito, K. (2002). Computational discovery of communicable scientific knowledge. In L. Magnani, N. J. Nersessian, & C. Pizzi (Eds.), Logical and Computational Aspects of Model-Based Reasoning. Dordrecht: Kluwer Academic.

Shrager, J., Langley, P., & Pohorille, A. (2002). Guiding revision of regulatory models with expression data. Proceedings of the Pacific Symposium on Biocomputing (pp. 486-497). Lihue, Hawaii.

2001

Saito, K., Langley, P., Grenager, T., Potter, C., Torregrosa, A., & Klooster, S. A. (2001). Computational revision of quantitative scientific models. Proceedings of the Fourth International Conference on Discovery Science (pp. 336-349). Washington, D.C.: Springer.

Kocabas, S., & Langley, P. (2001). An integrated framework for extended discovery in particle physics. Proceedings of the Fourth International Conference on Discovery Science (pp. 182-195). Washington, D.C.: Springer.

Dzeroski, S., & Langley, P. (2001). Computational discovery of communicable knowledge: Symposium report. Proceedings of the Fourth International Conference on Discovery Science (pp. 45-49). Washington, D.C.: Springer.

Kalton, A., Langley, P., Wagstaff, K., & Yoo, J. (2001). Generalized clustering, supervised learning, and data assignment. Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (pp. 299-304). San Francisco: ACM Press.

Iba, W., & Langley, P. (2001). Unsupervised learning of probabilistic concept hierarchies. In G. Paliouras, V. Karkaletsis, & C. D. Spyropoulos (Eds)., Machine learning and its applications. Berlin: Springer.

Langley, P., Magnani, L., Cheng, P. C.-H., Gordon, A., Kocabas, S., & Sleeman, D. H. (2001). Computational models of historical scientific discoveries. Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society (p. 3). Edinburgh: Lawrence Erlbaum.

Schwabacher, M., & Langley, P. (2001). Discovering communicable scientific knowledge from spatio-temporal data. Proceedings of the Eighteenth International Conference on Machine Learning (pp. 489-496). Williamstown, MA: Morgan Kaufmann.

Shapiro, D., Langley, P., & Shachter, R. (2001). Using background knowledge to speed reinforcement learning in physical agents. Proceedings of the Fifth International Conference on Autonomous Agents (pp. 254-261). Montreal: ACM Press.

2000

Langley, P. (2000). Crafting papers on machine learning. Proceedings of the Seventeenth International Conference on Machine Learning (pp. 1207-1211). Stanford, CA: Morgan Kaufmann.

Langley, P. (2000). The maturing science of machine learning. Proceedings of the Seventeenth International Conference on Machine Learning (pp. xi-xii). Stanford, CA: Morgan Kaufmann.

Langley, P., & Stromsten, S. (2000). Learning context-free grammars with a simplicity bias. Proceedings of the Eleventh European Conference on Machine Learning (pp. 220-228). Barcelona: Springer-Verlag.

Langley, P. (2000). The computational support of scientific discovery. International Journal of Human-Computer Studies, 53, 393-410.

Kocabas, S., & Langley, P. (2000). Computer generation of process explanations in nuclear astrophysics. International Journal of Human-Computer Studies, 53, 1149-1164.

1999

Langley, P., Thompson, C., Elio, R. & Haddadi, A. (1999). An adaptive conversational interface for destination advice. Proceedings of the Third International Workshop on Cooperative Information Agents (pp. 347-364). Uppsala, Sweden.

Langley, P. (1999). User modeling in adaptive interfaces. Proceedings of the Seventh International Conference on User Modeling (pp. 357-370). Banff, Alberta: Springer.

Rogers, S., Langley, P., & Wilson, C. (1999). Learning to predict lane occupancy using GPS and digital maps. Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining (pp. 104-113). San Diego, CA: ACM Press.

Langley, P. (1999). Concrete and abstract models of category learning. Proceedings of the Twenty-First Annual Conference of the Cognitive Science Society (pp. 288-293). Vancouver, BC: Lawrence Erlbaum.

Gervasio, M. T., Iba, W., & Langley, P. (1999). Learning user evaluation functions for adaptive scheduling assistance. Proceedings of the Sixteenth International Conference on Machine Learning (pp. 152-161). Bled, Slovenia: Morgan Kaufmann.

Langley, P., & Sage, S. (1999). Tractable average-case analysis of naive Bayesian classifiers. Proceedings of the Sixteenth International Conference on Machine Learning (pp. 220-228). Bled, Slovenia: Morgan Kaufmann.

Rogers, S., Fiechter, C., & Langley, P. (1999). An adaptive interactive agent for route advice. Proceedings of the Third International Conference on Autonomous Agents (pp. 198-205). Seattle: ACM Press.

Shapiro, D., & Langley, P. (1999). Controlling physical agents through reactive logic programming. Proceedings of the Third International Conference on Autonomous Agents (pp. 386-387). Seattle: ACM Press.

Rogers, S., Fiechter, C., & Langley, P. (1999). A route advice agent that models driver preferences. Proceedings of the AAAI Spring Symposium on Agents with Adjustable Autonomy. Stanford, CA: AAAI Press.

1998

Langley, P., & Fehling, M. (1998). The experimental study of adaptive user interfaces (Technical Report 98-3). Institute for the Study of Learning and Expertise, Palo Alto, CA.

Ali, K. M., Langley, P., Maloof, M. A., Binford, T. O., & Sage, S. (1998). Improving rooftop detection with interactive visual learning. Proceedings of the DARPA Image Understanding Workshop (pp. 479-492). Monterrey, CA: Morgan Kaufmann.

Langley, P. (1998). The computer-aided discovery of scientific knowledge. Proceedings of the First International Conference on Discovery Science. Fukuoka, Japan: Springer.

Maloof, M. A., Langley, P., Binford, T. O., & Nevatia, R. (1998). Generalizing over aspect and location for rooftop detection. Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (pp. 194-199). Princeton, NJ: IEEE Press.

Kocabas, S., & Langley, P. (1998). Generating process explanations in nuclear astrophysics. Proceedings of the ECAI-98 Workshop on Machine Discovery (pp. 4-9). Brighton, UK.

Iba, W., Gervasio, M., Langley, P., & Sage, S. (1998). Evaluating computational assistance for crisis response. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society (pp. 514-519). Madison, WI: Lawrence Erlbaum.

Handley, S., Langley, P., & Rauscher, F. A. (1998). Learning to predict the duration of an automobile trip. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (pp. 219-223). New York: AAAI Press.

Yamauchi, B., Langley, P., Schultz, A. C., Grefenstette, J., & Adams, W. (1998). Magellan: An integrated adaptive architecture for mobile robotics (Technical Report 98-2). Institute for the Study of Learning and Expertise, Palo Alto, CA.

Gervasio, M., Iba, W., & Langley, P. (1998). Case-based seeding for an interactive crisis response assistant. Proceedings of the AAAI-98 Workshop on Case-Based Reasoning Integrations. Madison, WI.

Maloof, M. A., Langley, P., Binford, T., & Sage, S. (1998). Improving rooftop detection in aerial images through machine learning (Technical Report 98-1). Institute for the Study of Learning and Expertise, Palo Alto, CA.

Moriarty, D. E., Handley, S., & Langley, P. (1998). Learning distributed strategies for traffic control. Proceedings of the Fifth International Conference of the Society for Adaptive Behavior (pp. 437-446). Zurich, Switzerland.

Gervasio, M., Iba, W., & Langley, P. (1998). Learning to predict user operations for adaptive scheduling. Proceedings of the Fifteenth National Conference on Artificial Intelligence (pp. 721-726). Madison, WI: AAAI Press.

Moriarty, D., & Langley, P. (1998). Learning cooperative lane selection strategies for highways. Proceedings of the Fifteenth National Conference on Artificial Intelligence (pp. 684-691). Madison, WI: AAAI Press.

Gervasio, M., Iba, W., Langley, P., & Sage, S. (1998). Interactive adaptation for crisis response. Proceedings of the AIPS-98 Workshop on Interactive and Collaborative Planning (pp. 29-36). Pittsburgh, PA.

Rogers, S., & Langley, P. (1998). Interactive refinement of route preferences for driving. Proceedings of the AAAI Spring Symposium on Interactive and Mixed-Initiative Decision-Theoretic Systems (pp. 109-113). Stanford, CA: AAAI Press.

Moriarty, D., & Langley, P. (1998). Distributed learning of lane-selection strategies for traffic management (Technical Report 98-2). Daimler-Benz Research & Technology Center, Palo Alto, CA.

1997

Langley, P., Provan, G. M., & Smyth, P. (1997). Learning with probabilistic representations. Machine Learning, 29, 91-101.

Blum, A., & Langley, P. (1997). Selection of relevant features and examples in machine learning. Artificial Intelligence, 97, 245-271.

Langley, P. (1997), & Shafto, M. G. (1997). Expanding our mental horizons. Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society (pp. xxi-xxii). Mahwah, NJ: Lawrence Erlbaum.

Langley, P. (1997). Machine learning for adaptive user interfaces. Proceedings of the 21st German Annual Conference on Artificial Intelligence (pp. 53-62). Freiburg, Germany: Springer.

Langley, P. (1997). Machine learning for intelligent systems. Proceedings of the Fourteenth National Conference on Artificial Intelligence (pp. 763-769). Providence, RI: AAAI Press.

Rogers, S., Langley, P., Johnson, B., & Liu, A. (1997). Personalization of the automotive information environment. Proceedings of the Workshop on Machine Learning in the Real World: Methodological Aspects and Implications. Nashville, TN.

Maloof, M. A., Langley, P., Sage, S., & Binford, T. (1997). Learning to detect rooftops in aerial images. Proceedings of the 1997 Image Understanding Workshop (pp. 835-845). New Orleans: Morgan Kaufmann.

Yamauchi, B., & Langley, P. (1997). Place recognition in dynamic environments. Journal of Robotic Systems, 14, 107-120.

Kohavi, R., Langley, P., & Yun, Y. (1997). The utility of feature weighting in nearest-neighbor algorithms. Proceedings of the Ninth European Conference on Machine Learning. Prague: Springer-Verlag.

Langley, P. (1997). Learning to sense selectively in physical domains. Proceedings of the First International Conference on Autonomous Agents (pp. 217-226). Marina del Rey, CA: ACM Press.

Langley, P., Pfleger, K., & Sahami, M. (1997). Lazy acquisition of place knowledge. Artificial Intelligence Review, 11, 315-342.

Langley, P., & Sage, S. (1997). Scaling to domains with irrelevant features. In R. Greiner (Ed.), Computational learning theory and natural learning systems (Vol. 4). Cambridge, MA: MIT Press.

1996

Langley, P. (1996). An abstract computational model of learning selective sensing skills. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 385-390). San Diego: Lawrence Erlbaum Publishers.

Langley, P. (1996). Induction of condensed determinations. Proceedings of the Second International Conference of Knowledge Discovery and Data Mining (pp. 327-330). Portland: AAAI Press.

Yamauchi, B., & Langley, P. (1996). Place learning in dynamic real-world environments. Proceedings of RoboLearn-96: International Workshop for Learning in Autonomous Robots (pp. 123-129). Key West, FL.

John, G. H., & Langley, P. (1996). Static vs. dynamic sampling for data mining. Proceedings of the Second International Conference of Knowledge Discovery and Data Mining (pp. 367-370). Portland: AAAI Press.

Provan, G., Langley, P., & Binford, T.O. (1996). Probabilistic learning of three-dimensional object models. Proceedings of the Image Understanding Workshop (pp. 1403-1413). Palm Springs, CA: Morgan Kaufmann.

Langley, P. (October, 1996). Relevance and insight in experimental studies. IEEE Expert, 11-12.

1995

Langley, P., & Simon, H. A. (1995). Applications of machine learning and rule induction. Communications of the ACM, 38, November, 55-64.

Langley, P. (1995). Order effects in incremental learning. In P. Reimann & H. Spada (Eds.), Learning in humans and machines: Towards an interdisciplinary learning science. Oxford: Elsevier.

Jones, R., & Langley, P. (1995). Retrieval and learning in analogical problem solving. Proceedings of the Seventeenth Conference of the Cognitive Science Society (pp. 466-471). Pittsburgh: Lawrence Erlbaum.

Langley, P., & Pfleger, K. (1995). Case-based acquisition of place knowledge. Proceedings of the Twelfth International Conference on Machine Learning (pp. 244-352). Lake Tahoe, CA: Morgan Kaufmann.

John, G. H., & Langley, P. (1995). Estimating continuous distributions in Bayesian classifiers. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (pp. 338-345). Montreal, Quebec: Morgan Kaufmann.

1994

Langley, P. (1994). Selection of relevant features in machine learning. Proceedings of the AAAI Fall Symposium on Relevance. New Orleans: AAAI Press.

Langley, P., Binford, T. O., & Levitt, T. S. (1994). Learning object models from visual observation and background knowledge. Proceedings of the Image Understanding Workshop. Monterrey, CA.

Bowyer, K. W., Hall, L. O., Langley, P., Bhanu, B., & Draper, B. A. (1994). Report of the AAAI fall symposium on machine learning and computer vision: What, why and how. Proceedings of the Image Understanding Workshop. Monterrey, CA.

Langley, P., Drastal, G., Rao, R. B., & Greiner, R. (1994). Theory revision in fault hierarchies. Proceedings of the Fifth International Workshop on Principles of Diagnosis. New Paltz, NY.

Langley, P., & Sage, S. (1994). Induction of selective Bayesian classifiers. Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (pp. 399-406). Seattle, WA: Morgan Kaufmann.

Langley, P., & Sage, S. (1994). Oblivious decision trees and abstract cases. Working Notes of the AAAI94 Workshop on Case-Based Reasoning (pp. 113-117). Seattle, WA: AAAI Press.

Langley, P., Iba, W., & Shrager, J. (1994). Reactive and automatic behavior in plan execution. Proceedings of the Second International Conference on AI Planning Systems (pp. 299-304). Chicago: AAAI Press.

For more information, send electronic mail to langley@isle.org


© 1997 Institute for the Study of Learning and Expertise. All rights reserved.