Abstract. In this work we present an assessment of state-of-the-art Boolean optimization solvers from different AI communities on over-subscription planning problems. The goal of t...
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
There is a variety of applications that can benefit from the ability to find optimal or good solutions to a proposed problem automatically. The Artificial Intelligent (AI) communi...
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
This demonstration will be the presentation of a new testbed for joint activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks Worl...
Matthew Johnson, Catholijn M. Jonker, M. Birna van...