TY - JOUR
T1 - Semantics and proof-theory of depth bounded Boolean logics
AU - D'Agostino, Marcello
AU - Finger, Marcelo
AU - Gabbay, Dov
PY - 2013/4/8
Y1 - 2013/4/8
N2 - We present a unifying semantical and proof-theoretical framework for investigating depth-bounded approximations to Boolean Logic, namely approximations in which the number of nested applications of a single structural rule, representing the classical Principle of Bivalence, is bounded above by a fixed natural number. These approximations provide a hierarchy of tractable logical systems that indefinitely converge to classical propositional logic. The framework we present here brings to light a general approach to logical inference that is quite different from the standard Gentzen-style approaches, while preserving some of their nice proof-theoretical properties, and is common to several proof systems and algorithms, such as KE, KI and Stålmarck's method.
AB - We present a unifying semantical and proof-theoretical framework for investigating depth-bounded approximations to Boolean Logic, namely approximations in which the number of nested applications of a single structural rule, representing the classical Principle of Bivalence, is bounded above by a fixed natural number. These approximations provide a hierarchy of tractable logical systems that indefinitely converge to classical propositional logic. The framework we present here brings to light a general approach to logical inference that is quite different from the standard Gentzen-style approaches, while preserving some of their nice proof-theoretical properties, and is common to several proof systems and algorithms, such as KE, KI and Stålmarck's method.
KW - Automated deduction
KW - Boolean logic
KW - Natural deduction
KW - Tractability
UR - http://www.scopus.com/inward/record.url?scp=84875525114&partnerID=8YFLogxK
U2 - 10.1016/j.tcs.2013.02.014
DO - 10.1016/j.tcs.2013.02.014
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AN - SCOPUS:84875525114
SN - 0304-3975
VL - 480
SP - 43
EP - 68
JO - Theoretical Computer Science
JF - Theoretical Computer Science
ER -