Axioms and inference rules form the foundation of deductive systems
and are crucial in the study of reasoning with logics over structures.
Historically, axiomatizations have been discovered manually with much
expertise and effort. In this paper we show the feasibility of using synthesis
techniques to discover axiomatizations for different classes of
structures, and in some contexts, automatically prove their
completeness. For evaluation, we apply our technique to find axioms
for (1) classes of frames in modal logic characterized in first-order
logic and (2) the class of language models with regular operations.
Fri 9 DecDisplayed time zone: Auckland, Wellington change
Fri 9 Dec
Displayed time zone: Auckland, Wellington change
10:30 - 12:00 | |||
10:30 30mTalk | Neural Architecture Search using Property Guided Synthesis OOPSLA Charles Jin Massachusetts Institute of Technology, Phitchaya Mangpo Phothilimthana Google Research, Sudip Roy Cohere.ai DOI | ||
11:00 30mTalk | Synthesizing Axiomatizations using Logic Learning OOPSLA Paul Krogmeier University of Illinois at Urbana-Champaign, Zhengyao Lin Carnegie Mellon University, Adithya Murali University of Illinois at Urbana-Champaign, P. Madhusudan University of Illinois at Urbana-Champaign DOI | ||
11:30 30mResearch paper | Synthesizing fine-grained synchronization protocols for implicit monitors OOPSLA Kostas Ferles Veridise Inc., Benjamin Sepanski The University of Texas at Austin, Rahul Krishnan University of Wisconsin-Madison, James Bornholt University of Texas at Austin, Işıl Dillig University of Texas at Austin DOI |