Decomposition and Causality in Partial-Order Planning - Robotics Institute Carnegie Mellon University

Decomposition and Causality in Partial-Order Planning

Robert Michael Young, Martha E. Pollack, and Johanna D. Moore
Conference Paper, Proceedings of 2nd International Conference on Artificial Intelligence Planning Systems (AIPS '94), pp. 188 - 193, June, 1994

Abstract

We describe DPOCL, a partial-order causal link planner that includes action decomposition. DPOCL builds directly on the SNLP algorithm (McAllester & Rosenblitt 1991), and hence is clear and simple, and can readily be integrated with other SNLP extensions. In addition, DPOCL is specifically designed to handle partially specified action decompositions. Plan generation in DPOCL exploits the planner's ability to fill in the missing pieces of a partially specified subplan in a way that uses the existing context of the larger plan being constructed.

Notes
Also appears as An Intelligent Systems Program Technical Report.

BibTeX

@conference{Young-1994-15997,
author = {Robert Michael Young and Martha E. Pollack and Johanna D. Moore},
title = {Decomposition and Causality in Partial-Order Planning},
booktitle = {Proceedings of 2nd International Conference on Artificial Intelligence Planning Systems (AIPS '94)},
year = {1994},
month = {June},
pages = {188 - 193},
}