Automated Theorem Proving: Theory and Practice by Monty Newborn

By Monty Newborn

As the twenty first century starts, the facility of our magical new device and associate, the pc, is expanding at an amazing expense. pcs that practice billions of operations according to moment are actually regular. Multiprocessors with hundreds of thousands of little pcs - rather little! -can now perform parallel computations and resolve difficulties in seconds that very few years in the past took days or months. Chess-playing courses are on an excellent footing with the world's most sensible gamers. IBM's Deep Blue defeated international champion Garry Kasparov in a fit a number of years in the past. more and more desktops are anticipated to be extra clever, to cause, that allows you to draw conclusions from given proof, or abstractly, to end up theorems-the topic of this e-book. particularly, this booklet is ready theorem-proving courses, THEO and HERBY. the 1st 4 chapters include introductory fabric approximately computerized theorem proving and the 2 courses. This comprises fabric at the language used to precise theorems, predicate calculus, and the foundations of inference. This additionally incorporates a description of a 3rd application integrated with this package deal, referred to as collect. As defined in bankruptcy three, bring together transforms predicate calculus expressions into clause shape as required by means of HERBY and THEO. bankruptcy five offers the theoretical foundations of seman­ tic tree theorem proving as played via HERBY. bankruptcy 6 provides the theoretical foundations of resolution-refutation theorem proving as according to­ shaped via THEO. Chapters 7 and eight describe HERBY and the way to exploit it.

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Extra resources for Automated Theorem Proving: Theory and Practice

Example text

The construction continues by labeling the right branch at N3 with -B, and we arrive at node N5. The reader can verify that N5 is a terminal node. The construction then backtracks to the root and constructs the right branch of R, labeling it with -C and leading to node N6, where: K(N6) = {18: (2b) A, 19: (3b) -A, 20: (5b) B} Lastly, the children of N6- that is, nodes N7 and N8- can be seen to be terminal nodes, and thus a closed semantic tree is constructed. Proving theorems by constructing closed semantic trees was the subject of Almulla 's doctoral thesis at McGill University.

1. Unification examples. do not unify because there is no unifying substitution. Substituting x for y yields P1' =P(y,y) and P2' =P(y,f(y)) and P1 ::f:. P2. Substituting f(y) for x yields P1' =P(f(y),f(y)) and P2' =P(y,f(y)); again P1' ::f:. P2'. No other substitution is possible. Let 1t and B be two substitutions. B is said to be distinct from 1t if and only if no variable bound in 1t appears in B. ) The composition of a distinct 1t with B and denoted xB is the substitution that results by applying Bto the terms of 1t and adding the bindings from B.

Note that if some clause C1 subsumes some other clause C2, then C1 implies C2. For example, because Q(x) subsumes P(x) I Q(y), it follows that Q(x) implies P(x) I Q(y);thatis,asa wff, {@x: Q(x)} => {@x@y: P(x) I Q(y)}. When this wff is negated and transformed to clause form, one obtains the three clauses Q(x), -P(a), and -Q(b), where a and bare Skolem constants. Clearly, Q(x) and -Q(b) are contradictory, thus establishing that Q(x) implies P(x) I Q(y). Example 1. Q(x) subsumes P(x) I Q(y), and the substitution is {y/x}.

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