Relational preference rules for control

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Much like relational probabilistic models, the need for relational preference models arises naturally in real-world applications where the set of object classes is fixed, but object instances vary from one application to another as well as within the run-time of a single application. To address this problem, we suggest a rule-based preference specification language. This language extends regular rule-based languages and leads to a much more flexible approach for specifying control rules for autonomous systems. It also extends standard generalized-additive value functions to handle a dynamic universe of objects: given any specific set of objects it induces a generalized-additive value function. Throughout the paper we use the example of a decision support system for command and control centers we are currently developing to motivate the need for such models and to illustrate them.

Original languageEnglish
Title of host publicationPrinciples of Knowledge Representation and Reasoning
Subtitle of host publicationProceedings of the 11th International Conference, KR 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages552-559
Number of pages8
ISBN (Print)9781577353843
StatePublished - 1 Jan 2008
Event11th International Conference on Principles of Knowledge Representation and Reasoning, KR 2008 - Sydney, NSW, Australia
Duration: 16 Sep 200819 Sep 2008

Publication series

NameProceedings of the International Conference on Knowledge Representation and Reasoning
ISSN (Print)2334-1025
ISSN (Electronic)2334-1033

Conference

Conference11th International Conference on Principles of Knowledge Representation and Reasoning, KR 2008
Country/TerritoryAustralia
CitySydney, NSW
Period16/09/0819/09/08

Fingerprint

Dive into the research topics of 'Relational preference rules for control'. Together they form a unique fingerprint.

Cite this