Abstract
We extend the 0-approximation of sensing actions and incomplete information in Son and Baral (2001) to action theories with static causal laws and prove its soundness with respect to the possible world semantics. We also show that the conditional planning problem with respect to this approximation is NP-complete. We then present an answer set programming based conditional planner, called ASCP, that is capable of generating both conformant plans and conditional plans in the presence of sensing actions, incomplete information about the initial state, and static causal laws. We prove the correctness of our implementation and argue that our planner is sound and complete with respect to the proposed approximation. Finally, we present experimental results comparing ASCP to other planners.
Original language | English (US) |
---|---|
Pages (from-to) | 377-450 |
Number of pages | 74 |
Journal | Theory and Practice of Logic Programming |
Volume | 7 |
Issue number | 4 |
DOIs | |
State | Published - Jul 2007 |
Keywords
- Answer set programming
- Conditional planning
- Conformant planning
- Incomplete information
- Reasoning about actions and changes
- Sensing actions
ASJC Scopus subject areas
- Software
- Artificial Intelligence
- Theoretical Computer Science
- Hardware and Architecture
- Computational Theory and Mathematics