Representing and manipulating situation hierarchies using situation lattices

Juan Ye, Lorcan Coyle, Simon Dobson, Paddy Nixon

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)647-667
Number of pages21
JournalRevue d'Intelligence Artificielle
Issue number5
Publication statusPublished - 2008
Externally publishedYes


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