CMU Artificial Intelligence Repository
SNLP: Domain-Independent Systematic Nonlinear Planner.
areas/planning/systems/snlp/
This directory contains SNLP, a domain-independent systematic
nonlinear planner that is both complete and sound.
No longer maintained. UCPOP is upward compatible to SNLP (and
better in all respects too).
See Also:
areas/planning/systems/ucpop/
Origin:
cs.washington.edu:/pub/ai/snlp.tar.Z
Version: 9-NOV-92
Copying: Copyright (c) 1990-92 University of Washington
Use, copying, and distribution permitted for
non-commercial research purposes.
If you use this software, please send a mail message to
bug-snlp@cs.washington.edu.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Bug Reports: bug-snlp@cs.washington.edu
Author(s): Stephen Soderland, Tony Barrett and Daniel Weld.
Contact: Dan Weld
Keywords:
Authors!Soderland, Authors!Weld, Authors!Weld,
Nonlinear Planning, Planning, SNLP
References:
D. McAllester and D. Rosenblitt, "Systematic Nonlinear Planning", AAAI-91.
A. Barrett and D. Weld, "Partial Order Planning: Evaluating Possible
Efficiency Gains", University of Washington CSE TR 92-05-01, 1992.
Last Web update on Mon Feb 13 10:27:12 1995
AI.Repository@cs.cmu.edu