Symbolic universal planning based on the reduced Ordered Binary Decision Diagram (OBDD) has been shown to be an efficient approach for planning in non-deterministic domains. To d...
Rune M. Jensen, Manuela M. Veloso, Randal E. Bryan...
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
This paper presents an approach to artificial intelligence planning based on linear temporal logic (LTL). A simple and easy-to-use planning language is described, PDDL-K (Planning...
Marta Cialdea Mayer, Carla Limongelli, Andrea Orla...
The control in multi-strategy proof planning goes beyond the control in other automated theorem proving approaches: not only the selection of the inference and the facts for the n...
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of sta...