Towards modelling defeasible reasoning with imperfection in production rule systems

Davide Sottara; Paola Mello; Mark Proctor

doi:10.1007/978-3-642-04985-9_32

Towards modelling defeasible reasoning with imperfection in production rule systems

Davide Sottara, Paola Mello, Mark Proctor

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Rule Interchange and Applications - International Symposium, RuleML 2009, Proceedings
Pages	345-352
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-04985-9_32
State	Published - 2009
Externally published	Yes
Event	International Symposium on Rule Interchange and Applications, RuleML 2009 - Las Vegas, NV, United States Duration: Nov 5 2009 → Nov 7 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5858 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Symposium on Rule Interchange and Applications, RuleML 2009
Country/Territory	United States
City	Las Vegas, NV
Period	11/5/09 → 11/7/09

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-04985-9_32

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

Towards modelling defeasible reasoning with imperfection in production rule systems. / Sottara, Davide; Mello, Paola; Proctor, Mark.
Rule Interchange and Applications - International Symposium, RuleML 2009, Proceedings. 2009. p. 345-352 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5858 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5858 LNCS, pp. 345-352, International Symposium on Rule Interchange and Applications, RuleML 2009, Las Vegas, NV, United States, 11/5/09. https://doi.org/10.1007/978-3-642-04985-9_32

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

Sottara, Davide ; Mello, Paola ; Proctor, Mark. / Towards modelling defeasible reasoning with imperfection in production rule systems. Rule Interchange and Applications - International Symposium, RuleML 2009, Proceedings. 2009. pp. 345-352 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Towards modelling defeasible reasoning with imperfection in production rule systems

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