Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
We present an optimal strategy for searching for a goal in a street which achieves the competitive factor of √ 2, thus matching the best lower bound known before. This finally ...
Abstract. This paper deals with plan execution on agents/robots in highly dynamic environments. Besides a formal semantics of plan execution and a representation of plans as progra...