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Course title: Introduction to Deep Inference and Proof Nets
Lecturer: Dr. Paola Bruscoli, Dr. Lutz Strassburger
Module: IT
Status: advanced unit
SWS (lecture/tutorial/practical): 1/0/0
Credit points: 1
Examination method: written examination
Prerequisites: aquaintance with the basics of propositional classical logic
The course is intended to be an introduction into the venerable field of proof theory via the novel concepts of deep inference and proof nets. Deep inference can be understood as a principle for designing a deductive system for a logic. It is based on the idea of rewriting a formula inside arbitrary contexts, which is alien to other formalisms like sequent calculus. On the other hand, proof nets are a graph like presentation of formal proofs. The basic idea is to abstract away from unrelevant syntactic "bureaucracy" that is usually involved in deductive systems. Deep inference and proof nets do not solely give new insights into traditional results of proof theory, like cut elimination, rather they overcome traditional methodologies in at least the following respects: