In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
Abstract. In this work a model for planning with multivalued fluents and graded actions, based on the infinite valued Lukasiewicz logic, is introduced. In multivalued planning, flu...
Marco Baioletti, Alfredo Milani, Valentina Poggion...
An important application of both data abstraction and plan execution is the execution of clinical guidelines and protocols (CGP), both to validate them against a large set of test ...
Peter Votruba, Andreas Seyfang, Michael Paesold, S...
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Heuristic search is a leading approach to domain-independent planning. For cost-optimal planning, however, existing admissible heuristics are generally too weak to effectively gui...
Patrik Haslum, Adi Botea, Malte Helmert, Blai Bone...