3.1  Representations and Knowledge Modeling

3.1.1 Outline

• Choosing representations: atomic, factored, structured; engineering examples
• Entities, relations, and attributes for robots, tasks, and resources
• Linking maps and task models to symbolic facts; lightweight ontologies
• Data quality and assumptions: closed-world vs open-world; partial observability
• Design note: keep representations minimal for deployable systems