PUBLICATIONS

 

Dissertation

 

Shapiro, D., Value-Driven Agents, Ph.D. thesis, Stanford University, Department of Management Science and Engineering, 2001. [Abstract | Full Text]

 

Books and Journals, edited

 

Shapiro, D., and Goker, M. (eds.), AI Magazine Special Issue on Advancing AI Research and Applications by Learning from What Went Wrong and Why.  AAAI Press, Summer 2008.

 

Remagnino, P., and Shapiro, D. (eds.), Computational Intelligence: Special Issue on Artificial Intelligence Methods for Ambient Intelligence Volume 23 Issue 4,  November 2007.

 

Ramos, C., Augusto, J., and Shapiro, D. (eds.). IEEE Intelligent Systems Special Issue on Ambient Intelligence, Vol. 23, No. 2.  Mar./Apr. 2008.

 

Augusto, J., and Shapiro, D. (eds.), Advances in Ambient Intelligence. (2007). IOS press.  ISBN 978-1-58603-800-7

 

Journal Articles

 

Konik, T., ORorke, P., and Shapiro, D.  Skill Transfer through Goal-Driven Representation Mapping. Cognitive Systems Research, Special Issue on Analogies - Integrating Cognitive Abilities, Vol. 10, No. 3, September 2009. PDF

 

Ichise, R., Shapiro, D., Langley, P. (2004). Structured program induction from behavioral traces, IEICE Transactions on Information and Systems, Vol. J87-D-1, No. 6, pp. 730-740 (in Japanese). The Institute of Electronics, Information and Communication Engineers.

 

Tong, R., & Shapiro, D., Experimental Investigations of uncertainty in a rule-based system for information retrieval, International Journal of Man Machine Studies 22, 265-282, 1985.  (Invited paper.)

 

McCune, B., Tong, R., Dean, J., & Shapiro, D., RUBRIC: A system for rule-based information retrieval, IEEE Transactions on Software Engineering, vol SE-11, no 9, September 1985, pp 939-945.  Also in Readings in Information Systems, Sparck-Jones, K., & Willett, P. (eds), Morgan Kaufmann Publishers, Inc., May 1997.

 

Editorials

 

Shapiro, D., and Goker, M. (2008). What Went Wrong and Why: Lessons from AI Research and Development.  AI Magazine Special Issue on Advancing AI Research and Applications by Learning from What Went Wrong and Why. AAAI Press, Summer 2008.

 

Ramos, C., Augusto, J., and Shapiro, D. (2008). Ambient Intelligence - The Next Step for Artificial Intelligence. In Ramos, C., Augusto, J., and Shapiro, D. (eds.). IEEE Intelligent Systems Special Issue on Ambient Intelligence, Vol. 23, No. 2.  Mar./Apr. 2008

 

Remagnino, P., and Shapiro, D. (2007). Artificial Intelligence Methods for Ambient Intelligence, in Computational Intelligence: Special Issue on Artificial Intelligence Methods for Ambient Intelligence, Volume 23, Issue 4, November 2007, pp 393-394.

 

Conference Articles

 

Konik, K., Ali, K., Shapiro, D., Li, N., and Stracuzzi, D. Improving Structural Knowledge Transfer with Parametric Adaptation (2010). The 23rd Florida Artificial Intelligence Research Society Conference (FLAIRS-23), Daytona Beach, Florida.  (In press.)

 

Li, N., Stracuzzi, D., Cleveland, G., Konik, T., Nejati, N., Shapiro, D., Molineaux, M., and Aha, D. (2009). Constructing Game Agents from Video of Human Behavior, Proceedings of the Fifth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), Stanford, CA. PDF

 

Ali, K., Leung, K., Konik, K., Choi, D., and Shapiro, D. (2009).  Knowledge-Directed Theory Revision, Nineteenth International Conference on Inductive Logic Programming, Leuven, Belgium

 

Shapiro, D., Konik, K., and O’Rorke, P. (2008). Achieving Far Transfer in an Integrated Cognitive Architecture, Proceedings of the Twenty-third Conference of the Association for the Advancement of Artificial Intelligence, Chicago, IL. PDF

 

Billman,D.,  Shapiro, D., & Cummings, K. (2005) Processes in Diagnostic Reasoning: Information Use in Causal Explanations. In Program of the Twenty-Seventh Annual Conference of the Cognitive Science Society.  pp. 262-267, Erlbaum:  Hillsdale, NJ. PDF

 

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

 

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. New York: ACM Press. PDF

 

Shapiro, D., & Langley, P.  (2002). Separating skills from preference: using learning to program by reward. Nineteenth International Conference on Machine Learning. PDF

 

Bay, S., Shapiro, D., & Langley, P.  (2002).  Revising engineering models: combining computational discovery with knowledge. European Conference on Machine Learning. PDF

 

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

 

Ichise, R., Shapiro, D., & Langley, P.  (2002).  Learning programs from observations of other agents.  Proceedings of the Joint Agent Workshop (JAWS2002), pp. 1-8, in Japanese.

 

Shapiro, D., Langley, P., & Shachter, R. (2001). Using background knowledge to speed reinforcement learning, Fifth International Conference on Autonomous Agents. PDF

 

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

 

Shapiro, D. (1997). Giving up for no good reason. Nineteenth Annual Conference of the Cognitive Science Society, Stanford CA.

 

Cromarty, A., Shapiro, D., & Fehling, M. (1984). Still planners run deep: shallow reasoning for fast replanning. Proceedings of the Society of Photo-Optical Engineers, Technical Symposium East. SPIE.

 

Shapiro, D., & McCune, B. (1983). The intelligent program editor: a knowledge-based system for supporting program and documentation maintenance.  Proceedings of the Trends and Applications Conference: Automating Intelligent Behavior; Applications and Frontiers, pp 226-232.  Gaithersburg, MD.  IEEE.

 

Shapiro, D., Dean, J., & McCune, B. (1984). A knowledge base for supporting an intelligent program editor.  Proceedings of the Seventh International Conference on Software Engineering, pp. 381-386.  Orlando, FL. IEEE.

 

McCune, B., Tong,  R., Dean, J., & Shapiro, D. (1983). RUBRIC: a system for rule-based information retrieval. Proceedings of the Seventh International Computer Software and Applications Conference, pp 166-172.  IEEE Computer Society.

 

Tong, R., Shapiro, D., McCune, B., & Dean, J. (1983). A rule-based approach to information retrieval: some results and comments. Proceedings of the National Conference on Artificial Intelligence, pp 411-415. William Kauffman.

 

Tong, R., & Shapiro, D. (1983). An experiment with multiple-valued logics in an expert system.  Proceedings of the IFAC Symposium on Fuzzy Information, Knowledge Representation and Decision Analysis. Marseille, France.

 

Tong, R., Shapiro, D., Dean, J., & McCune, B. (1983). A comparison of uncertainty calculi in an expert system for information retrieval. Proceedings of the Eigth International Joint Conference on Artificial Intelligence, pp 194-197. Karlsruhe, Germany.  William Kauffman.

 

Refereed Workshop Papers

 

Langley, P., Arai, S., & Shapiro, D. (2004).  Model-Based Learning with Hierarchical Relational Skills, International Conference on Machine Learning, Workshop on Relational Reinforcement Learning.

 

Shapiro, D., and Collopy, P. (2004). Communicating Values to Autonomous Agents, Stanford Spring Symposium on Interaction between Humans and Autonomous Systems over Extended Operation.  Stanford, CA.  PDF

 

Shapiro, D., & Gervasio, M. (2003). Adaptive interfaces for value-driven agents.  Stanford Spring Symposium, Workshop on Human Interaction with Autonomous Systems in Complex Environments, Stanford University, Stanford, CA.  PDF

 

Shapiro, D., & Shachter, R. (2002).  User-agent value alignment. Stanford Spring Symposium, Workshop on Safe Agent Learning. Stanford University, Stanford, CA.  PDF

 

Shapiro, D. (1999). Controlling gaming agents via reactive programs, Stanford Spring Symposium Workshop on Artificial Intelligence and Computer Games.  PDF

 

Schoppers, M., & Shapiro, D. (1997). Designing embedded agents to optimize end-user objectives. Proceedings of the Fourth International Workshop on Agent Theories, Architectures and Languages.  Providence, RI. Reprinted in Intelligent Agents, v.4, Springer Verlag.  PDF

 

Tong, R., Applebaum, L., & Shapiro, D. (1986). A general purpose inference engine for evidential reasoning research. Proceedings of the Second Workshop on Uncertainty in Artificial Intelligence, American Association of Artificial Intelligence.

 

Non-Refereed Workshop Papers

 

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. Acapulco, Mexico. PDF

 

Shapiro, D. (1989). The astronaut and the banana peel. Proceedings NASA/JPL Workshop on Space Telerobotics, Pasadena, CA.

 

Technical Reports

 

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

 

Fehling, M., & Shapiro D., A systems level perspective on IVHS design, University of California Institute of Transportation Studies, Richmond Field Station, Bldg 452, 1357 S. 46th St., Richmond, CA 94804-4698, California PATH Reports to Caltrans 96-C10, 6/96.

 

Shapiro, D., Extra Vehicular Activity Retriever simulation video (Parts 1 and II), Image Sciences Division, NASA Johnson Space Center, Houston TX 77058, wo 55033.005, 3/93.

 

Shapiro, D., Architectures for semi-autonomous planning, NASA Lyndon Johnson Space Center, NAS 9-18162, 7/91.

 

Shapiro, D., A principled design for the operations management application onboard Space Station Freedom, Final Report, NASA Lyndon Johnson Space Center, Houston TX 77058, NAS 9-18083, 8/89.

 

Schoppers, M., & Shapiro, D., Telerobotic control of teams of semi-autonomous agents, U.S. Army Tank-Automotive Command, Warren, MI 48397-5000, DAAE07-88-C-R076, 4/89.

 

Shapiro, D., Shu, R., & Tollander, C., An Operations Monitoring Assistant, U.S. Army Communications-Electronics Command, Fort Monmouth, NJ 07703, DAAB07-86-C0051, 11/88.

 

Shapiro, D., An Extra Vehicular Activity Retriever scenario, NASA Lyndon Johnson Space Center, Houston TX 77058, Technical report JSC-23196, 9/88.

 

Shapiro, D., & Tollander, C., The battlefield commander’s assistant project, Army Communications-Electronics Command, DAAB07-84-K516, 1/87.

 

Stachnic, G., Applebaum, L., Marks, P., Marsh, J., Rosenschein, J., Schoppers, M., & Shapiro, D., Airland battle management planning study, Defense Advanced Research Projects Agency, 1400 Wilson Boulevard, Arlington, VA 22209-2308, DAAH01-86-C-0487, 10/86.

 

Shapiro, D., Finger, J., Courand, G., McCune, B., & Payne, R., The design of TEMPLAR (a Tactical Expert Mission Planner), Rome Air Development Center, Rome NY, RADC-TR-84-134, 1984.

 

McCune, B., Dean, J., Tong, R., & Shapiro, D., RUBRIC, a system for rule based information retrieval, Advanced Information and Decision Systems, 1500 Plymouth St, Mountain View CA, TR-1018-1, 2/83.

 

McCune, B., Dean, J., Shapiro, D., & Tong, R., Rule-based information retrieval, Intelligence Applications of Advanced Computer and Information Technology:  Focus on Artificial Intelligence, Office of Research and Development, Central Intelligence Agency, Washington, DC, 11/82.

 

Shapiro, D., McCune, B., & Wilson, G., Design of an intelligent program editor, Office of Naval Research, 800 N. Quincy St, Arlington, VA 22217, N00014-82-C-0119, 9/82.

 

Shapiro, D., & McCune, B., Searching a knowledge base of programs and documentation, Air Force Office of Scientific Research, Bolling Air Force Base, D.C. 20332, F49620-81-C-0067, 5/82.

 

Manuscripts

 

Shapiro, D., Shachter, R., and Langley, P.  User-Agent Value Alignment. (Long version) PDF

 

Shapiro, D., Billman, D., Marker, M., and Langley, P. A Human-Centered Approach to Monitoring Complex Dynamic Systems. PDF