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Dr. Daniel Shapiro
Executive Director
Chief Financial Officer
Institute for the Study of Learning
and
Expertise (ISLE)
dgs at isle.org
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My research surrounds advanced autonomy and general theories of cognition. I work on cognitive architectures for intelligent agents, the technologies underlying those architectures, and on applications of intelligent artifacts. I am a principle author of the Icarus architecture, which is a framework for constructing agents that pursue complex tasks in dynamic environments. I am interested in research on agent motivation, and in establishing trust between artificial agents and their human users. I work with a variety of tools and technologies that enable intelligent agents, e.g., explanation based learning, reinforcement learning, logical inference, reactive programming, decision theory, and operations research, as well as on a variety of tasks that employ intelligent artifacts, such as transfer learning, problem solving, and human-machine spoken dialogue.
I am the president of Applied Reactivity,
Inc., a company I formed to take my work on value driven agents out of academia
and into application. I have been
a Senior Researcher at the Stanford
University Center for the Study of Language and Information (CSLI), and am currently
an affiliate of its Computational Learning Laboratory (CLL).
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 Fromherz, M.
(eds.), AI Magazine Special Issue on the 2011 Innovative Applications of
Artificial Intelligence Conference.
AAAI Press (to appear).
Shapiro, D., Muñoz-Avila, H.,
and Stracuzzi, D. (eds.), AI Magazine Special Issue on Structured Knowledge
Transfer, Spring 2011. AAAI Press.
·
Shapiro,
D., Muñoz-Avila, H., and Stracuzzi, D. (eds.), AI Magazine Special Issue on
Structured Knowledge Transfer, Part 2.
Summer 2011. AAAI Press.
·
Rychtyckyj,
N., and Shapiro, D. (eds.), AI Magazine Special Issue on the 2010 Innovative
Applications of Artificial Intelligence Conference. AAAI Press.
Summer 2011.
·
Shapiro,
D., and Göker, M. (eds.), 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. (eds.). IEEE Intelligent Systems Special Issue
on Ambient Intelligence, Vol. 23, No. 2.
Mar./Apr. 2008.
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Remagnino,
P., and Shapiro, D. (eds.), Computational Intelligence: Special Issue on
Artificial Intelligence Methods for Ambient Intelligence Volume 23 Issue 4,
November 2007.
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Augusto,
J., and Shapiro, D. (eds.), Advances in Ambient Intelligence. (2007). IOS
press. ISBN 978-1-58603-800-7
Some recent papers:
Shapiro, D. The
Social Agency Problem. (2011) Association for the Advancement of Artificial
Intelligence, Fall Symposium Workshop on Advances in Cognitive Systems.
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Stracuzzi,
D., Fern, A., Ali, K., Hess, R., Pinto, J., Li, N., Könik, T., and Shapiro,
D. Transfer of Learning in American Football: From Observation of Raw
Video to Control in a Simulated Environment. AI Magazine Special Issue on Structured Knowledge Transfer,
Part 2. Summer 2011.
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Könik,
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.
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Könik,
T., O’Rorke, 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
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Li,
N., Stracuzzi, D., Cleveland, G., Könik, 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
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Ali,
K., Leung, K., Könik, K., Choi, D., and Shapiro, D. (2009). Knowledge-Directed
Theory Revision, Nineteenth International Conference on Inductive Logic
Programming, Leuven, Belgium.
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Shapiro,
D., Könik, 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
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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
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Shapiro,
D., & Collopy, P. (2004). Communicating values to autonomous agents.
Stanford Spring Symposium on Interaction between Humans and Autonomous Systems
over Extended Operation. PDF
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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.
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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
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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
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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
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Shapiro,
D., & Gervasio, M. (2003). Adaptive interfaces for value driven agents.
Stanford Spring Symposium on Human Interaction with Autonomous Systems in
Complex Environments. PDF
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Shapiro,
D., & Langley, P. (2002). Separating skills from preference: using learning
to program by reward. Nineteenth International Conference on Machine Learning. PDF
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Bay,
S., Shapiro, D., & Langley, P. (2002). Revising engineering models:
combining computational discovery with knowledge. European Conference on
Machine Learning. PDF
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Ichise,
R., Shapiro, D., & Langley, P. (2002). Learning hierarchical skills from
observation. Proceedings of the Fifth International Conference on Discovery
Science. PDF
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Shapiro,
D., & Shachter, R. (2002). User-agent value alignment. Stanford Spring
Symposium, Workshop on Safe Learning Agents. Stanford University, Stanford, CA.
PDF
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Shapiro,
D., Langley, P., & Shachter, R. (2001). Using background knowledge to speed reinforcement learning,
Fifth International Conference on Autonomous Agents. PDF
Chair, Innovative Applications of
Artificial Intelligence 2011
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Co-Chair, Innovative Applications of Artificial Intelligence 2010
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Program
Committee, Advances in Cognitive Systems. AAAI Fall Symposium, 2011.
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Editorial
board, Journal of Ambient Intelligence
and Smart Environments (JAISE)
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Editorial
board, Journal of Interesting Negative
Results in Natural Language Processing and Machine Learning
(JINR)
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Program
Committee, Goal Directed Autonomy Workshop,
AAAI 2010
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Program
Committee, 5th Workshop on Artificial Intelligence Techniques for
Ambient Intelligence (AITAmI’10), Kuala
Lumpur, Malaysia
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Program
Committee, IAAI-08, IAAI-09
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Program
Committee, 4th Workshop on Artificial
Intelligence Techniques for Ambient Intelligence, Barcelona, Spain, 2009
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Co-chair,
3rd Workshop on Artificial Intelligence Techniques for Ambient Intelligence,
European Conference on Artificial Intelligence, Patras, Greece, 2008
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Co-chair,
2nd Workshop on Artificial Intelligence Techniques for Ambient Intelligence,
International Joint Conference on Artificial Intelligence, Hyderabad, India,
2007
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Co-chair,
Artificial
Intelligence Techniques for Ambient Intelligence workshop, European Conference
on Artificial Intelligence, 2006.
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Chair,
What
Went Wrong and Why:Lessons from AI Research and Applications workshop, AAAI Stanford Spring
Symposium, 2006
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Chair,
Persistent
Assistants: Living and Working with AI, AAAI Stanford Spring
Symposium, 2005
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Symposium on Learning and
Motivation in Cognitive Architectures, CSLI, Stanford University,
3/22-3/23, 2003. Co-organizer with Pat Langley and John Laird.
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Co-chair,
Safe
Learning Agents
workshop, AAAI Stanford Spring Symposium, 2002.
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Program
Committee, International Conference on Machine Learning, 2002.
I
occasionally teach a class on Cognitive Architectures through the Stanford Symbolics
Systems Program, which surveys
the field of cognitive architectures and provides students with a hands-on
experience using such systems. I
developed a three quarter series on Artificial Intelligence through the
Management Science and Engineering department at Stanford, and a course on
decision theory in public policy through the Public Administration Department
at California State College in Hayward.
I have taught Lisp programming, computer architecture, and software
engineering. Many years ago, I
organized an interdisciplinary study group that supplied the technical
background for a science fiction book; Flight of the Dragonfly, by Bob Forward
(Timescape, 1984).
My pet pumpkins I grow giant vegetables for competitions and for fun.
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Our
wedding cake and the MacShapiro Tartan It is a long story. You will have to ask.
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Glass
Blowing
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Scottish
country dance
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Knee
falls and toe dancing
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With
my Tuvan throat-singing instructor in Mongolia