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International Symposium on Abstraction, Reformulation, and Approximation

SARA 2000: Abstraction, Reformulation, and Approximation pp 324–325Cite as

Synergy between Compositional Modeling and Bayesian Networks

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  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1864))

Abstract

My work is focused on interdisciplinary areas of computer science and natural sciences. Currently, I am working on diagnosis of continuous and hybrid systems. In the recent past, I have worked on explanation generation [1, 2] in the context of compositional modeling [3].

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References

  1. T. K. S. Kumar. Reinterpretation of Causal Order Graphs towards Effective Explanation Generation Using Compositional Modeling. Proceedings of the Fourteenth International Workshop on Qualitative Reasoning, 2000.

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  2. T. K. S. Kumar. A Compositional Approach to Causality. Proceedings of the Symposium on Abstraction, Reformulation and Approximation, 2000. Lecture Notes in Artificial Intelligence.

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  3. B. Falkenhainer and K. Forbus. Compositional Modeling: Finding the Right Model for the Job. Artificial Intelligence, 51:95–143, 1991.

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  4. D. Koller and A. Pfeffer. Object Oriented Bayesian Networks. Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI), pages 302–313. 1997.

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  5. Y. Iwasaki and H. Simon. Causality in Device Behavior. Artificial Intelligence, 29:3–32, 1986.

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  6. Y. Iwasaki and C. M. Low. Model Generation and Simulation of Device Behavior with Continuous and Discrete Changes. Intelligent Systems Engineering, 1993.

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  7. T. R. Gruber and P. O. Gautier. Machine-generated Explanations of Engineering Models: A Compositional Modeling Approach. IJCAI-93, 1993.

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Author information

Authors and Affiliations

  1. Knowledge Systems Laboratory, Stanford University, USA

    T. K. Satish Kumar

Authors
  1. T. K. Satish Kumar
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nebraska - Lincoln, 115 Ferguson Hall, Lincoln, NE, 68588-0115

    Berthe Y. Choueiry

  2. Department of Computer Science, University of York, Heslington, York, Y010 5DD, UK

    Toby Walsh

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© 2000 Springer-Verlag Berlin Heidelberg

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Kumar, T.K.S. (2000). Synergy between Compositional Modeling and Bayesian Networks. In: Choueiry, B.Y., Walsh, T. (eds) Abstraction, Reformulation, and Approximation. SARA 2000. Lecture Notes in Computer Science(), vol 1864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44914-0_26

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  • DOI: https://doi.org/10.1007/3-540-44914-0_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67839-7

  • Online ISBN: 978-3-540-44914-0

  • eBook Packages: Springer Book Archive

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