Reports of the AAAI 2011 Spring Symposia

Authors

  • Mark Buller Brown University
  • Paul Cuddihy General Electric Research
  • Ernest Davis New York University
  • Patrick Doherty Linkoping University
  • Finale Doshi-Velez Massachusetts Institute of Technology
  • Esra Erdem Sabanci University
  • Douglas Fisher Vanderbilt University
  • Nancy Green University of North Carolina, Greensboro
  • Knut Hinkelmann University of Applied Sciences Northwestern Switzerland FHNW
  • Mary Lou Maher University of Maryland
  • James McLurkin Rice University
  • Rajiv Maheswaran University of Southern California
  • Sara Rubinelli University of Lucerne
  • Nathan Schurr Aptima, Inc.
  • Donia Scott University of Sussex
  • Dylan Shell Texas A&M University
  • Pedro Szekely University of Southern California
  • Barbara Thönssen University of Applied Sciences Northwestern Switzerland FHNW
  • Arnold B. Urken University of Arizona

DOI:

https://doi.org/10.1609/aimag.v32i3.2370

Abstract

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, presented the 2011 Spring Symposium Series Monday through Wednesday, March 21–23, 2011 at Stanford University. The titles of the eight symposia were AI and Health Communication, Artificial Intelligence and Sustainable Design, AI for Business Agility, Computational Physiology, Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, Logical Formalizations of Commonsense Reasoning, Multirobot Systems and Physical Data Structures, and Modeling Complex Adaptive Systems As If They Were Voting Processes. This report summarizes the eight symposia.

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Published

2011-10-31

How to Cite

Buller, M., Cuddihy, P., Davis, E., Doherty, P., Doshi-Velez, F., Erdem, E., Fisher, D., Green, N., Hinkelmann, K., Maher, M. L., McLurkin, J., Maheswaran, R., Rubinelli, S., Schurr, N., Scott, D., Shell, D., Szekely, P., Thönssen, B., & Urken, A. B. (2011). Reports of the AAAI 2011 Spring Symposia. AI Magazine, 32(3), 119-127. https://doi.org/10.1609/aimag.v32i3.2370

Issue

Section

Workshop Reports