Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
The growing complexity of systems and their implementation into silicon encourages designers to look for model designs at higher levels of abstraction and then incrementally build ...
An important step in model-based embedded system design consists in mapping functional specifications and their tasks/operations onto execution architectures and their ressources...
Dumitru Potop-Butucaru, Robert de Simone, Yves Sor...
Planning as Satisfiability is one of the most well-known and effective techniques for classical planning: satplan has been the winning system in the deterministic track for optim...
Ever-growing complexity is forcing design to move above RTL. For example, golden functional models are being written as clearly as possible in software and not optimized or intend...