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
Link To Document