The research area of Distributed Artificial Intelligence aims at building intelligent agent
systems. Multi-Agent Systems have been applied successfully in many domains, from an …

Uncertainty hinders many applications of AI–algorithms are often faced with noisy sensors,
unpredictable environments, or known limitations in world models. Automated planning with …

Uncertainty arises in many compelling real-world applications of planning. There is a large
body of work on propositional uncertainty where actions have non-deterministic outcomes …

Many interesting applications of planning exhibit numeric uncertainty. Prior work in forwards
planning approximates uncertain values as Gaussian distributions, but this is not always …

Many compelling applications of planning arise from scenarios that are inherently uncertain.
In some cases it is possible to adequately capture the dynamics of the world without …