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Probabilistic Logic with Strong Independence

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Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 (IBERAMIA 2006, SBIA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4140))

Abstract

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.

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Author information

Authors and Affiliations

  1. Escola Politécnica, Univ. de São Paulo, São Paulo, SP, Brazil

    Fabio G. Cozman & Cassio P. de Campos

  2. Univ. Mackenzie, São Paulo, SP, Brazil

    Cassio P. de Campos

  3. Univ. Estadual de Ponta Grossa, Ponta Grossa, PR, Brazil

    José Carlos F. da Rocha

Authors
  1. Fabio G. Cozman
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  2. Cassio P. de Campos
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  3. José Carlos F. da Rocha
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Editor information

Editors and Affiliations

  1. Laboratório de Técnicas Inteligentes (LTI) Escola Politécnica (EP), Universidade de São Paulo (USP),  

    Jaime Simão Sichman

  2. Dep. de Informática, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal

    Helder Coelho

  3. Institute of Mathematics and Computer Science, Department of Computer Science, University of São Paulo,, Av. Trabalhador Sao-Carlense, 400, Centro, CP: 668, 13560-970, São Carlos, SP, Brazil

    Solange Oliveira Rezende

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© 2006 Springer-Verlag Berlin Heidelberg

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Cozman, F.G., de Campos, C.P., da Rocha, J.C.F. (2006). Probabilistic Logic with Strong Independence. In: Sichman, J.S., Coelho, H., Rezende, S.O. (eds) Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. IBERAMIA SBIA 2006 2006. Lecture Notes in Computer Science(), vol 4140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11874850_65

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  • DOI: https://doi.org/10.1007/11874850_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45462-5

  • Online ISBN: 978-3-540-45464-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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