Learning and Planning of Situated Resource Bounded Agents
This paper presents an investigation of rational agents that have limited computational resources and that can interact with their environments. We analyse how such agents can combine deductive reasoning using domain knowledge and inductive learning from past experiences, while remaining time-aware in a manner appropriate for beings situated in a dynamic universe. In particular, we consider how th
