On the Relative Expressiveness of ADL and Golog: The Last Piece in the Puzzle

Principles of Knowledge Representation and Reasoning: Proceedings of the Eleventh International Conference (KR2008)

Volume

Principles of Knowledge Representation and Reasoning: Proceedings of the Eleventh International Conference (KR2008)

Contents

Integrating agent programming languages and efficient action planning is a promising approach because it combines the expressive power of languages such as Golog with the possibility of searching for plans efficiently. In order to integrate a Golog interpreter with a planner, one has to understand, however, which part of the expressiveness of Golog can be captured by the planning language. Using Nebel's compilation framework, we identify a maximal fragment of basic action theories, the formalism Golog is based on, that is expressively equivalent to the ADL subset of PDDL. As we will show, almost all features that permit to specify incomplete information in basic action theories cannot be compiled to ADL.