Dr. Daniel Shapiro

Institute for the Study of Learning and Expertise
2164 Staunton Court
Palo Alto, CA 94305
(650) 494-3884 (phone)
dgs@stanford.edu

I am the assistant director of the Institute for the Study of Learning and Expertise (ISLE), and also a member of the Computational Learning Laboratory in CSLI at Stanford University.

My research interests revolve around the topic of architectures for intelligent agents, specifically the design, development, and validation of value-driven artifacts that provably address human interests as a byproduct of pursuing their own, internal motivations. I am interested in a variety of related technologies, e.g., computational learning, reactive programming, decision theory, and operations research.

To contact me, send electronic mail to dgs@stanford.edu

• Shapiro, D., Value-driven agents, Ph.D. thesis, Stanford University, Department of Management Science and Engineering. (2001). [Abstract (MSWord)]

• Shapiro, D., & Langley, P. (2001). Using background knowledge to speed reinforcement learning, Proceedings of the Fifth International Conference on Autonomous Agents. [PDF]

• Shapiro, D., & Shachter, R. (2001). Convergent reinforcement learning for hierarchical reactive plans (unpublished manuscript). [PDF]

• Shapiro, D., & Shachter, R. (2001). User-agent value alignment (unpublished manuscript). [MSWord]