Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

Explore

Utilizing automatically inferred invariants in graph construction and search

Fox, Maria and Long, Derek (2000) Utilizing automatically inferred invariants in graph construction and search. In: 5th International Conference on Artificial Intelligence Planning Systems, 2000-04-14 - 2000-04-17.

[img]
Preview
Text (strathprints001939)
strathprints001939.pdf - Accepted Author Manuscript

Download (183kB) | Preview

Abstract

In this paper we explore the relative importance of persistent and non-persistent mutex relations in the performance of Graphplan- based planners. We also show the advantages of pre-compiling persistent mutex relations. Using TIM we are able to generate, during a pre-processing analysis, all of the persistent binary mutex relations that would be inferred by Graphplan during each graph construction. We show how the efficient storgae of, and access to, these pre-processed persistent mutexes yields a modest improvement in graph construction performance. We further demonstrate that the process by which these persistent mutexes are identified can, in certain kinds of domain, allow the exploitation of binary mutex relations which are inaccessible to Graphplan. We present The Island of Sodor, a simple planning domain characterizing a class of domains in which certain persistent mutexes are present but are not detectable by Graphplan during graph construction. We show that the exploitation of these hidden binary mutexes makes problems in this kind of domain trivially solvable by STAN, where they are intractable for other Graphplan-based planners.