Reports of the AAAI 2010 Conference Workshops

  • David W. Aha Naval Research Laboratory
  • Mark Boddy Adventium Labs
  • Vadim Bulitko University of Alberta
  • Artur S. d'Avila Garcez City University London
  • Prashant Doshi University of Georgia
  • Stefan Edelkamp TZI, Bremen University
  • Christopher Geib University of Edinburgh
  • Piotr Gmytrasiewicz University of Illinois, Chicago
  • Robert P. Goldman Smart Information Flow Technologies
  • Pascal Hitzler Wright State University
  • Charles Isbell Georgia Institute of Technology
  • Darsana Josyula University of Maryland, College Park
  • Leslie Pack Kaelbling Massachusetts Institute of Technology
  • Kristian Kersting University of Bonn
  • Maithilee Kunda Georgia Institute of Technology
  • Luis C. Lamb Universidade Federal do Rio Grande do Sul (UFRGS)
  • Bhaskara Marthi Willow Garage
  • Keith McGreggor Georgia Institute of Technology
  • Vivi Nastase EML Research gGmbH
  • Gregory Provan University College Cork
  • Anita Raja University of North Carolina, Charlotte
  • Ashwin Ram Georgia Institute of Technology
  • Mark Riedl Georgia Institute of Technology
  • Stuart Russell University of California, Berkeley
  • Ashish Sabharwal Cornell University
  • Jan-Georg Smaus University of Freiburg
  • Gita Sukthankar University of Central Florida
  • Karl Tuyls Maastricht University
  • Ron van der Meyden University of New South Wales
  • Alon Halevy Google, Inc.
  • Lilyana Mihalkova University of Maryland
  • Sriraam Natarajan University of Wisconsin


The AAAI-10 Workshop program was held Sunday and Monday, July 11–12, 2010 at the Westin Peachtree Plaza in Atlanta, Georgia. The AAAI-10 workshop program included 13 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were AI and Fun, Bridging the Gap between Task and Motion Planning, Collaboratively-Built Knowledge Sources and Artificial Intelligence, Goal-Directed Autonomy, Intelligent Security, Interactive Decision Theory and Game Theory, Metacognition for Robust Social Systems, Model Checking and Artificial Intelligence, Neural-Symbolic Learning and Reasoning, Plan, Activity, and Intent Recognition, Statistical Relational AI, Visual Representations and Reasoning, and Abstraction, Reformulation, and Approximation. This article presents short summaries of those events.