A new approach to military operations, called Anticipatory Planning and Adaptive Execution, treats planning and execution as a tightly coupled, single process, and replaces reacti...
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
We propose a frameworkfor robot programming which allows the seamless integration of explicit agent programming with decision-theoretic planning. Specifically, the DTGolog model a...
Craig Boutilier, Raymond Reiter, Mikhail Soutchans...
The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as...
Kumari Wickramasinghe, Christian Guttmann, Michael...