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 …

The majority of planning and scheduling research has focused on batch-oriented models of
planning. This paper discusses the use of iterative repair techniques to support a continuous …

To construct a perpetual self-aware cognitive agent that can continuously operate with
independence, an introspective machine must be produced. To assemble such an agent, it …

To operate autonomously in complex environments, an agent must monitor its environment
and determine how to respond to new situations. To be considered intelligent, an agent …

A central problem in multistrategy learning systems is the selection and sequencing of
machine learning algorithms for particular situations. This is typically done by the system …

We present a metacognitive, integrated, dual-cycle architecture whose function is to provide
agents with a greater capacity for acting robustly in a dynamic environment and managing …

Goal-directed behavior is a hallmark of intelligence. While the majority of artificial
intelligence research assumes goals are static and externally provided, many real-world …

We describe a framework for planning in dynamic environments. A central question is how to
focus the sensing performed by such a system, so that it responds appropriately to relevant …

Cognitive agents operating in complex and dynamic domains benefit from significant goal
management. Operations on goals include formulation, selection, change, monitoring and …

The field of interactive drama attempts to provide a player of a virtual system with a rich
dramatic experience that provides him with a large set of consequential actions that directly …