— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
This paper presents two models of goal generation which enable a motivated autonomous agent to generate goals in response to changes in its underlying drives or motivations, while...
At the "functional level", Semantic Web Services (SWS) are described akin to planning operators, with preconditions and effects relative to an ontology; the ontology prov...
An intelligent problem solver must be able to decompose a complex problem into simpler parts. A decomposition algorithm would not only be bene cial for traditional subgoal-oriente...
We propose an online algorithm for planning under uncertainty in multi-agent settings modeled as DEC-POMDPs. The algorithm helps overcome the high computational complexity of solv...