Overview
The goal of this workshop is to explore ways of increasing the scope
and scalability of automated planning by constructing and utilizing
plans with rich representations and control structures. We plan to
bring together researchers interested in new action and plan
representations, as well as in synthesis, learning and analysis of
plans. GenPlan11 follows the very successful GenPlan09 workshop that
was held in conjunction with ICAPS in 2009.
An additional objective of this workshop is to foster a greater
exchange of ideas between the many distinct yet related subfields of
AI that these problems are connected with, including knowledge
representation, abstraction, learning, inductive logic programming,
hierarchical decision making paradigms such as partial policies and
HTNs, program synthesis, automated service composition, as well as
model checking in AI, in addition to the various forms of automated
planning.
Some of the fundamental questions motivating this workshop are:
Organizers
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Announcements6/28: List of accepted papers uploaded.5/13: Camera-ready versions due May 5/13: Author Notifications sent. 4/23: Submissions received and acknowledgements sent. 1/21: Invited speakers confirmed: Alessandro Cimatti, Hector Levesque, and Stuart Russell 1/21: Call for papers |
    25th Conference on     Artificial Intelligence |