The rational agent community uses Michael Bratman's planning theory of intention as its theoretical foundation for the development of its agentoriented BDI languages. We prese...
We present a hill-climbing algorithm to solve planning problems with temporal uncertainty. First an optimistic plan that is valid when all actions complete quickly is found. Then ...
NoA is an agent architecture that supports the development of agents motivated by norms: obligations, permissions and prohibitions. Obligations motivate a normative agent to act: ...
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
A novel algorithm is introduced that can detect the presence of interpolation in images prior to compression as well as estimate the interpolation factor. The interpolation detect...