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Logic for Computer Science and Artificial Intelligence
book

Logic for Computer Science and Artificial Intelligence

by Ricardo Caferra
August 2011
Intermediate to advanced
544 pages
9h 53m
English
Wiley
Content preview from Logic for Computer Science and Artificial Intelligence

Chapter 9

Problem Specification in Logical Languages

9.1. Equality

Equality is an extremely important1 predicate (relation), in particular, in mathematics, that has a meaning in every universe of discourse, which is not the case for other predicates (for example, if P(x, y) has the intended meaning “x loves y”, it would have no meaning if the universe of discourse was, say, ieq).

It seems natural to want to treat it using logics that we have already studied.

Imagine we have to prove the validity (or non-validity) of the equivalence:

equ

If propositional logic (PL) is used, using the names mentioned, we get ieq, which is obviously a non-valid formula, but our experience with = tells us that formula (*) is valid, and we want to classify it as such.

FOL would also fail (without any additional axioms) to capture the characteristics of equality.

Equality has particular properties that we must make explicit.

There are formulas such as:

equ

that are valid when R is replaced by x = y or by any other predicate Q(x, y).

But the validity of the formula

depends on the semantics of =.

9.1.1. When is it used? ...

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Publisher Resources

ISBN: 9781118604267Purchase book