Probabilistic logic with strong independence

Fabio G. Cozman, Cassio P. de Campos, José Carlos F. da Rocha

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

This papers investigates the manipulation of statements of strong independence in probabilistic logic. Inference methods based on polynomial programming are presented for strong independence, both for unconditional and conditional cases. We also consider graph-theoretic representations, where each node in a graph is associated with a Boolean variable and edges carry a Markov condition. The resulting model generalizes Bayesian networks, allowing probabilistic assessments and logical constraints to be mixed.

Originele taal-2Engels
TitelAdvances in Artificial Intelligence - IBERAMIA-SBIA 2006 - 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Proceedings
RedacteurenJaime Simão Sichman, Helder Coelho, Solange Oliveira Rezende
UitgeverijSpringer
Pagina's612-621
Aantal pagina's10
ISBN van elektronische versie978-3-540-45464-9
ISBN van geprinte versie3540454624, 978-3-540-45462-5
DOI's
StatusGepubliceerd - 2006
Extern gepubliceerdJa
EvenementIBERAMIA-SBIA 2006 - 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium - Ribeirao Preto, Brazilië
Duur: 23 okt 200627 okt 2006

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4140 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

CongresIBERAMIA-SBIA 2006 - 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium
Land/RegioBrazilië
StadRibeirao Preto
Periode23/10/0627/10/06

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