Towards modelling defeasible reasoning with imperfection in production rule systems

Davide Sottara, Paola Mello, Mark Proctor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a novel extension to the object-oriented RETE algorithm, designed to create networks whose behaviour can be configured by plugging different modules in. The main feature is the possibility of asserting not just new objects as facts, but also information on how the facts satisfy the different constraints in the network. The underlying reasoning process has been created to process imperfect information, for example fuzzy or probabilistic, but the same framework can easily be adapted to reason with defeasible rules, both boolean and imperfect, by choosing the configuration modules appropriately.

Original languageEnglish (US)
Title of host publicationRule Interchange and Applications - International Symposium, RuleML 2009, Proceedings
Pages345-352
Number of pages8
DOIs
StatePublished - Dec 2 2009
EventInternational Symposium on Rule Interchange and Applications, RuleML 2009 - Las Vegas, NV, United States
Duration: Nov 5 2009Nov 7 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Symposium on Rule Interchange and Applications, RuleML 2009
CountryUnited States
CityLas Vegas, NV
Period11/5/0911/7/09

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sottara, D., Mello, P., & Proctor, M. (2009). Towards modelling defeasible reasoning with imperfection in production rule systems. In Rule Interchange and Applications - International Symposium, RuleML 2009, Proceedings (pp. 345-352). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5858 LNCS). https://doi.org/10.1007/978-3-642-04985-9_32