Next: IPP
Up: Our Experimental Setup
Previous: Our Experimental Setup
The planners are all what have been called primitive-action
planners [Wilkins desJardins2001], planners that require relatively limited
domain knowledge and construct plans from simple action
descriptions. Because the AIPS98 competition required planners to
accept PDDL, the majority of planners used in this study were
competition entrants or are later versions thereof 4. The common language
facilitated comparison between the planners without having to address
the effects of a translation step. The two exceptions were UCPOP and
Prodigy; however, their representations are similar to PDDL and were
translated automatically. The planners represent five different
approaches to planning: plan graph analysis, planning as
satisfiability, planning as heuristic search, state-space planning
with learning and partial order planning. When possible, we used
multiple versions of a planner, and not necessarily the most
recent. Because we conducted this study over some period of time
(almost 1.5 years), we froze the set early on; we are not comparing
the performance to declare a winner and so did not think that the lack
of recent versions undermined the results of testing our assumptions.
Subsections
©2002 AI Access Foundation and Morgan Kaufmann
Publishers. All rights reserved.