Abstract
The TM-LPSAT planner can construct plans in domains containing atomic actions and durative actions; events and processes; discrete, real-valued, and interval-valued fluents; and continuous linear change to quantities. It works in three stages. In the first stage, a representation of the domain and problem in an extended version of PDDL+ is compiled into a system of propositional combinations of propositional variables and linear constraints over numeric variables. In the second stage, the LPSAT constraint engine (Wolfman & Weld 2000) is used to find a solution to the system of constraints. In the third stage, a correct parallel plan is extracted from this solution. We discuss the structure of the planner and show how a real-time temporal model is compiled into LPSAT constraints.
Original language | English (US) |
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Pages | 531-536 |
Number of pages | 6 |
State | Published - 2004 |
Event | Proceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) - San Jose, CA, United States Duration: Jul 25 2004 → Jul 29 2004 |
Other
Other | Proceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) |
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Country/Territory | United States |
City | San Jose, CA |
Period | 7/25/04 → 7/29/04 |
Keywords
- Continuous time
- LPSAT
- Numerical quantities
- Processes
- Propositional planning
ASJC Scopus subject areas
- Software
- Artificial Intelligence