• DocumentCode
    565151
  • Title

    Sciduction: Combining induction, deduction, and structure for verification and synthesis

  • Author

    Seshia, Sanjit A.

  • Author_Institution
    UC Berkeley
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    356
  • Lastpage
    365
  • Abstract
    Even with impressive advances in formal verification, certain major challenges remain. Chief amongst these are environment modeling, incompleteness in specifications, and the complexity of underlying decision problems. In this position paper, we contend that these challenges can be tackled by integrating traditional, deductive methods with inductive inference (learning from examples) using hypotheses about system structure. We present sciduction, a formalization of such an integration, show how it can tackle hard problems in verification and synthesis, and outline directions for future work.
  • Keywords
    computational complexity; formal verification; inference mechanisms; decision problem complexity; deductive methods; environment modeling; formal verification; inductive inference; sciduction; Abstracts; Automata; Cognition; Computational modeling; Engines; Humans; Integrated circuit modeling; Formal verification; deduction; induction; learning; synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0738-100X
  • Print_ISBN
    978-1-4503-1199-1
  • Type

    conf

  • Filename
    6241533