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

Abstract

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.
Published
2010-09-20
Section
Workshop Reports