American Association for Artificial Intelligence Elects New Fellows

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For Immediate Release

American Association for Artificial Intelligence Elects New Fellows

July 2, 2006
8:00 AM Pacific Time
Menlo Park, Calif.

Outstanding researchers recognized for their contributions to AI

The American Association for Artificial Intelligence has announced the 2006 Fellows. Each year since 1990, a small number of AI researchers are recognized by their peers for their unusual distinction in the profession and for their sustained contributions to the field of AI for a decade or more. This year’s AAAI Fellows join a distinguished blue ribbon cadre of many of the leading pioneers, researchers and practitioners in the field of AI.

AAAI congratulates the following new Fellows:

  • Fahiem Bacchus (University of Toronto) for significant contributions in knowledge representation, automated planning, utility modeling, and algorithms for SAT and constraint satisfaction.
  • Craig Boutilier (University of Toronto) for significant contributions to default reasoning, belief revision, and decision-theoretic foundations of AI.
  • Anthony G. Cohn (University of Leeds) for significant contributions to knowledge representation, qualitative spatial reasoning, cognitive vision and service to the international AI community.
  • Gregory F. Cooper (University of Pittsburgh) for significant contributions to the theory and applications of Bayesian reasoning and causal modeling, and the promotion of AI within medicine.
  • Jude W. Shavlik (University of Wisconsin) for significant contributions to machine learning, especially knowledge-intensive approaches, and the application of machine learning to problems in computational biology.
  • Oliviero Stock (ITC-IRST) for wide-ranging, significant contributions to research in computational linguistics and intelligent interfaces, serious work on computation humor, and dedicated service and leadership in support of the European AI community.
  • Sebastian Thrun (Stanford University) for significant contributions to the theory of probabilistic robot navigation and its successful real-world application.

About AAAI

Founded in 1979, the Association for the Advancement of Artificial Intelligence (formerly the American Association for Artificial Intelligence) (www.aaai.org) is a nonprofit scientific membership society devoted to advancing the science and practice of AI. Its mission is to: (1) advance the scientific understanding of the mechanisms underlying intelligent thought and behavior, (2) facilitate their embodiment in machines, (3) serve as an information resource for research planners and the general public concerning trends in AI, and (4) offer training for the current and coming generations of AI researchers and practitioners. The Association sponsors an annual conference, highly regarded in the AI field, since 1980.

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