We present a novel approach to interaction-oriented programming based on declaratively representing communication protocols. Our approach exhibits the following distinguishing fea...
We present an agent-based coordination and planning method for aerial surveillance of multiple urban areas using a group of fixed-wing unmanned aerial vehicles (UAVs). The method ...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Abstract. An autonomous agent may largely benefit from its ability to reconstruct another agent’s reasoning principles from records of past events and general knowledge about th...
Abstract Recent progress in mobile broadband communication and semantic web technology is enabling innovative internet services that provide advanced personalization and localizati...