This fifth volume on Advances and Applications of DSmT for Information Fusion collects
theoretical and applied contributions of researchers working in different fields of applications …

Various disciplines have examined the many phenomena of metacognition and have
produced numerous results, both positive and negative. I discuss some of these aspects of …

Over the years increasingly sophisticated planning algorithms have been developed. These
have made for more efficient planners, but unfortunately these planners still suffer from …

In this paper we address the problem of automatically generating job workflows for the Grid.
These workflows describe the execution of a complex application built from individual …

Continuous, steady improvement is a key requirement to manufacturing enterprises that
necessitates flat and flexible organizations, life-long learning of employees on the one side …

Research on execution monitoring in its own is still not very common within the field of
robotics and autonomous systems. It is more common that researchers interested in control …

Planning under uncertainty is a difficult task. If sensory information is available, it is possible
to do contingency planning–that is, develop plans where certain branches are executed …

We explore approximate policy iteration, replacing the usual costfunction learning step with
a learning step in policy space. We give policy-language biases that enable solution of very …

This paper describes an approach to automatically learn planning operators by observing
expert solution traces and to further refine the operators through practice in a learning-by …

This collection represents the primary reference work for researchers and students in the
area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to …