Title
On Reformulating Planning as Dynamic Constraint Satisfaction
Abstract
In recent years, researchers have reformulated STRIPS planning problems as SAT problems or CSPs. In this paper, we discuss the Constraint-Based Interval Planning (CBIP) paradigm, which can represent planning problems incorporating interval time and resources. We describe how to reformulate mutual exclusion constraints for a CBIP-based system, the Extendible Uniform Remote Operations Planner Architecture (EUROPA). We show that reformulations involving dynamic variable domains restrict the algorithms which can be used to solve the resulting DCSP. We present an alternative formulation which does not employ dynamic domains, and describe the relative merits of the different reformulations.
Year
DOI
Venue
2000
10.1007/3-540-44914-0_17
SARA
Keywords
Field
DocType
reformulating planning,dynamic variable domain,sat problem,different reformulations,dynamic constraint satisfaction,extendible uniform remote operations,alternative formulation,dynamic domain,planner architecture,constraint-based interval planning,strips planning problem,cbip-based system,planning,domains,constraint satisfaction,exclusion,algorithms,mutual exclusion
Constraint satisfaction,Mathematical optimization,Architecture,Scheduling (computing),Computer science,Planner,Constraint satisfaction problem,STRIPS,Mutual exclusion,restrict
Conference
ISBN
Citations 
PageRank 
3-540-67839-5
10
0.91
References 
Authors
11
4
Name
Order
Citations
PageRank
jeremy frank1100.91
Ari K. Jónsson228718.45
Paul H. Morris342440.40
dennis koga4121.81