Results 1 
3 of
3
Validated ProofProducing Decision Procedures
, 2004
"... A widely used technique to integrate decision procedures (DPs) with other systems is to have the DPs emit proofs of the formulas they report valid. One problem that arises is debugging the proofproducing code; it is very easy in standard programming languages to write code which produces an incorre ..."
Abstract

Cited by 10 (5 self)
 Add to MetaCart
A widely used technique to integrate decision procedures (DPs) with other systems is to have the DPs emit proofs of the formulas they report valid. One problem that arises is debugging the proofproducing code; it is very easy in standard programming languages to write code which produces an incorrect proof. This paper demonstrates how proofproducing DPs may be implemented in a programming language, called RogueSigmaPi (RSP), whose type system ensures that proofs are manipulated correctly. RSP combines the Rogue rewriting language and the Edinburgh Logical Framework (LF). Typecorrect RSP programs are partially correct: essentially, any putative LF proof object produced by a typecorrect RSP program is guaranteed to type check in LF. The paper describes a simple proofproducing combination of propositional satisfiability checking and congruence closure implemented in RSP.
Knowledge Representation and Classical Logic
"... Mathematical logicians had developed the art of formalizing declarative knowledge long before the advent of the computer age. But they were interested primarily in formalizing mathematics. Because of the important role of nonmathematical knowledge in AI, their emphasis was too narrow from the perspe ..."
Abstract

Cited by 10 (4 self)
 Add to MetaCart
Mathematical logicians had developed the art of formalizing declarative knowledge long before the advent of the computer age. But they were interested primarily in formalizing mathematics. Because of the important role of nonmathematical knowledge in AI, their emphasis was too narrow from the perspective of knowledge representation, their formal languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classical mathematical logic has exerted significant influence on knowledge representation research, and it is appropriate to begin this handbook with a discussion of the relationship between these fields. The language of classical logic that is most widely used in the theory of knowledge representation is the language of firstorder (predicate) formulas. These are the formulas that John McCarthy proposed to use for representing declarative knowledge in his advice taker paper [176], and Alan Robinson proposed to prove automatically using resolution [236]. Propositional logic is, of course, the most important subset of firstorder logic; recent
Chapter 1 Knowledge Representation and Classical Logic
"... Mathematical logicians had developed the art of formalizing declarative knowledge long before the advent of the computer age. But they were interested primarily in formalizing mathematics. Because of the important role of nonmathematical knowledge in AI, their emphasis was too narrow from the perspe ..."
Abstract
 Add to MetaCart
Mathematical logicians had developed the art of formalizing declarative knowledge long before the advent of the computer age. But they were interested primarily in formalizing mathematics. Because of the important role of nonmathematical knowledge in AI, their emphasis was too narrow from the perspective of knowledge representation, their formal languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classical mathematical logic has exerted significant influence on knowledge representation research, and it is appropriate to begin this Handbook with a discussion of the relationship between these fields. The language of classical logic that is most widely used in the theory of knowledge representation is the language of firstorder (predicate) formulas. These are the formulas that John McCarthy proposed to use for representing declarative knowledge in his Advice Taker paper [171], and Alan Robinson proposed to prove automatically using resolution [230]. Propositional logic is, of course, the most important subset