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 :
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