A promising technique used in some planning systems to improve their performance is the use of domain dependent search control knowledge. We present a procedure for compiling sear...
We propose a purely logical framework for planning in partially observable environments. Knowledge states are expressed in a suitable fragment of the epistemic logic S5. We show h...
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Classical propositional STRIPSplanning is nothing but the searchfor a path in the state-transition graph induced by the operators in the planning problem. Whatmakes the problem ha...
On May 17th 1999, NASA activated for the first time an AI-based planner/scheduler running on the flight processor of a spacecraft. This was part of the Remote Agent Experiment (RA...