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There is no single answer to this question, because of the high degree of nondeterminism inherent in the sequent calculus -- to get a computational interpretation, you need to resolve the ambiguity, and each way of doing so leads to different operational interpretations. Furthermore, the answers differ somewhat for classical and intuitionistic sequent calculi. Aap ke pyar mein hum savar ne lage download 3gp.

Proof term assignments for classical sequent calculi correspond closely to continuation calculi, such as Herbelin's $ lambda mu$ calculus. Now continuation transforms correspond to double-negation translations of classical logic into intuitionistic logic, and of there are many different double-negation translations possible. Each choice of double-negation translation gives rise to a different evaluation order, which explains why they are so valuable for the study for abstract machines (as in supercooldave's link) -- you can get the benefits of studying different evaluation orders via CPS transforms, without having to code everything up in functions. Now, you can also try to eliminate the nondeterminism in another way: by fiat. This relies upon Andreoli's idea of focusing for linear logic.

In operational terms, the idea is to define logical connectives either in terms of their values, or their elimination forms (this is called polarity). After picking one, the other is determined by the need to satisfy cut-elimination.

For linear logic, each of the connectives has unique polarity. For classical logic, every connective can be given either polarity (ie, every connective can be defined either in terms of values or continuations), and the choice of polarities for the connectives essentially determines the evaluation order. This is very well explained in Noam Zeilberger's PhD thesis,. For intuitionistic sequent calculi, the proof term assignments still have a lot of nondeterminism in them. When you resolve this through focalization, you find that the resulting calculi are pattern matching calculi. A beautiful abstract take on this is also in Noam's thesis, and I wrote a very concrete paper about this for POPL 2009,, which showed how to explain Haskell/ML style pattern matching in terms of proof term assignments for focused sequent calculi.

To add to Neel's response, you can't get a more concrete answer unless you clarify what you mean by 'sequent calculus'. If you mean Gentzen's original systems LK or LJ, then the answer is simply that there is no independently discovered/motivated computational system. (Remember that Gentzen's original motivation for introducing sequent calculus was as a tool for studying provability, and natural deduction as a tool for studying proofs.) Different operational interpretations have been associated with sequent calculus by departing from these original systems (or just by being satisfied with a looser 'correspondence'), but then the questions are 1. Whether you can really call these systems 'sequent calculus' (what mathematical properties are invariant?), and 2. Whether it really matters that you do?

On the other hand, there are still many aspects of proofs-as-programs that are not understood---as Neel and supercooldave mentioned, pattern-matching and operational semantics are examples---and people have tried to gain a handle on these by studying ideas from sequent calculus and from refinements of sequent calculus. For example, one important idea from sequent calculus is the 'subformula property', that a proof of a formula only needs to mention its subformulas. Vmware esxi usb install unetbootin. In natural deduction this property is broken for connectives like disjunction. The connection between focusing proofs and pattern-matching that Neel mentioned can be understood as a way of regaining this normal form property for programs with sum types.