Download Foundations of Inductive Logic Programming by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf PDF

By Shan-Hwei Nienhuys-Cheng, Ronald de Wolf

Inductive good judgment Programming is a tender and quickly turning out to be box combining desktop studying and common sense programming. This self-contained instructional is the 1st theoretical advent to ILP; it offers the reader with a rigorous and sufficiently large foundation for destiny examine within the area.
In the 1st half, an intensive therapy of first-order good judgment, resolution-based theorem proving, and good judgment programming is given. the second one half introduces the most thoughts of ILP and systematically develops an important effects on version inference, inverse solution, unfolding, refinement operators, least generalizations, and how one can care for history wisdom. in addition, the authors provide an outline of PAC studying leads to ILP and of a few of the main suitable applied systems.

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The variable assignment tells us to which domain element each variable refers. Similarly, the pre-interpretation tells us to which domain element each constant refers, and how to treat function symbols. We m a y combine the information we get from a pre-interpretation J and a variable assignment V. Suppose J has as domain the set of natural numbers, and has Jg(n) = 3 * n, where ',' is the usual m a t h e m a t i c a l multiplication function. Suppose also that V tells us that the variable x is m a p p e d to the natural number 4.

2. 6 The first-order language given by an alphabet is the set of all (well-formed) formulas which can be constructed from the symbols of the alphabet. Strictly speaking, only formulas are in the language L. But sometimes we will speak loosely about the "terms in L", or the "variables in L". Of course, in that case we mean the terms constructable from the alphabet on which L is based. When we give an example in the rest of this chapter, we will not explicitly specify the alphabet we use. Instead, we assume that all the symbols we use in the example are in the alphabet.

37 Let E be a set of formulas and r a formula. Then E ~ r iff E U {-,4} is unsatisfiable. 38 If r and ~ are formulas, then r ~=~r iff ~ (r ++ ~). Before proving the next proposition, we will first illustrate the eighth assertion in that proposition by a more intuitive example. 39 Suppose we have a language which contains the predicate P, of arity 2. Suppose we have an interpretation I, with a domain consisting of all human beings currently alive, and a function Ip such that Ip(hl, h~) = T iff human being hi loves human being h2.

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