Representing and manipulating situation hierarchies using situation lattices

J Ye, L Coyle, S Dobson, Patrick Nixon

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Situations, the semantic interpretations of context, provide a better basis for selecting adaptive behaviours than context itself. The definition of situations typically rests on the ability to define logical expressions and inference methods to identify particular situations. In this paper we extend this approach to provide for efficient organisation and selection in systems with large numbers of situations having structured relationships to each other. We apply lattice theory to define a specialisation relationship across situations, and show how this can be used to improve the identification of situations using lattice operators and uncertain reasoning. We demonstrate the technique against a real-world dataset.
LanguageEnglish
Pages647-667
JournalRevue d'Intelligence Artificielle
Volume22
Issue number5
DOIs
Publication statusPublished - 2008

Fingerprint

Lattice theory
Semantics

Keywords

  • n/a

Cite this

Ye, J ; Coyle, L ; Dobson, S ; Nixon, Patrick. / Representing and manipulating situation hierarchies using situation lattices. 2008 ; Vol. 22, No. 5. pp. 647-667.
@article{01971536f6d642918cb1eabe46bc8f12,
title = "Representing and manipulating situation hierarchies using situation lattices",
abstract = "Situations, the semantic interpretations of context, provide a better basis for selecting adaptive behaviours than context itself. The definition of situations typically rests on the ability to define logical expressions and inference methods to identify particular situations. In this paper we extend this approach to provide for efficient organisation and selection in systems with large numbers of situations having structured relationships to each other. We apply lattice theory to define a specialisation relationship across situations, and show how this can be used to improve the identification of situations using lattice operators and uncertain reasoning. We demonstrate the technique against a real-world dataset.",
keywords = "n/a",
author = "J Ye and L Coyle and S Dobson and Patrick Nixon",
year = "2008",
doi = "10.3166/ria.22.647-667",
language = "English",
volume = "22",
pages = "647--667",
number = "5",

}

Representing and manipulating situation hierarchies using situation lattices. / Ye, J; Coyle, L; Dobson, S; Nixon, Patrick.

Vol. 22, No. 5, 2008, p. 647-667.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Representing and manipulating situation hierarchies using situation lattices

AU - Ye, J

AU - Coyle, L

AU - Dobson, S

AU - Nixon, Patrick

PY - 2008

Y1 - 2008

N2 - Situations, the semantic interpretations of context, provide a better basis for selecting adaptive behaviours than context itself. The definition of situations typically rests on the ability to define logical expressions and inference methods to identify particular situations. In this paper we extend this approach to provide for efficient organisation and selection in systems with large numbers of situations having structured relationships to each other. We apply lattice theory to define a specialisation relationship across situations, and show how this can be used to improve the identification of situations using lattice operators and uncertain reasoning. We demonstrate the technique against a real-world dataset.

AB - Situations, the semantic interpretations of context, provide a better basis for selecting adaptive behaviours than context itself. The definition of situations typically rests on the ability to define logical expressions and inference methods to identify particular situations. In this paper we extend this approach to provide for efficient organisation and selection in systems with large numbers of situations having structured relationships to each other. We apply lattice theory to define a specialisation relationship across situations, and show how this can be used to improve the identification of situations using lattice operators and uncertain reasoning. We demonstrate the technique against a real-world dataset.

KW - n/a

U2 - 10.3166/ria.22.647-667

DO - 10.3166/ria.22.647-667

M3 - Article

VL - 22

SP - 647

EP - 667

IS - 5

ER -