Continuous Time in a SAT-Based Planner

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.

Cite

Text

Shin and Davis. "Continuous Time in a SAT-Based Planner." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Shin and Davis. "Continuous Time in a SAT-Based Planner." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/shin2004aaai-continuous/)

BibTeX

@inproceedings{shin2004aaai-continuous,
  title     = {{Continuous Time in a SAT-Based Planner}},
  author    = {Shin, Ji-Ae and Davis, Ernest},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {531-536},
  url       = {https://mlanthology.org/aaai/2004/shin2004aaai-continuous/}
}