Reasoning about Actions and Planning with Preferences Using Prioritized Default Theory

This paper shows how action theories, expressed in an extended version of the language     , can be naturally encoded using Prioritized Default Theory . We also show how prioritized default theory can be extended to express preferences between rules . This extension provides a natural framework to introduce different types of preferences in action theories— preferences between actions and preferences between final states . In particular, we demonstrate how these preferences can be expressed within extended prioritized default theory. We also discuss how this framework can be implemented in terms of answer set programming.