Home Object Oriented Software Design • Download PDF by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf: Foundations of Inductive Logic Programming

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

By Shan-Hwei Nienhuys-Cheng, Ronald de Wolf

ISBN-10: 3540629270

ISBN-13: 9783540629276

Inductive good judgment Programming is a tender and speedily starting to be box combining computer 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 wide foundation for destiny learn within the area.
In the 1st half, a radical remedy of first-order good judgment, resolution-based theorem proving, and good judgment programming is given. the second one half introduces the most suggestions of ILP and systematically develops an important effects on version inference, inverse answer, unfolding, refinement operators, least generalizations, and how you can take care of heritage wisdom. moreover, the authors provide an summary of PAC studying ends up in ILP and of a few of the main suitable applied systems.

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Inductive common sense Programming is a tender and quickly becoming box combining computer 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 huge foundation for destiny examine within the zone. within the first half, an intensive therapy of first-order good judgment, resolution-based theorem proving, and common sense programming is given.

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Extra info for Foundations of Inductive Logic Programming

Example text

QnXn (C1 A Prenex ... A Gin), Matrix where each qi is either B or V, xl . . , x,~ are all the variables occurring in the formula, and each Cj is a clause. The first part of the formula (the sequence of quantifiers with variables) is called the prenex of the formula. , x,d. t T h i s t e r m ~ m a t r i x ' is j u s t a n a m e we u s e ; it d o e s n o t h a v e v e r y m u c h in c o m m o n concept of a matrix. 2. P(x))) These formulas are not in prenex conjunctive normal form: 9 3x~3y3z (S(z, y, z) A P(x)) 9 v .

16 Suppose our alphabet contains only one constant~ a, and one function symbol f, of arity 1. We could model the natural numbers (which we take as our domain) as follows: a denotes the number 0, f(a) denotes the number l, f ( f ( a ) ) denotes 2, f ( f ( f ( a ) ) ) denotes 3~ etc. This can be achieved by the following pre-interpretation J: 1. }. 2. The constant a is assigned the natural number 0. 3. The function symbol f is assigned the following mapping from D to D: J] (n) = n 4- 1, where '4-' is the usual addition function.

In particular, if Vx (P(z) A Q(a, x)) is true under some interpretation [, then no matter which domain element is assigned to x, Q(a, x) is true under I. So then Vx Q(a, x) is true under I. Thus it can be shown that Vx (P(z)AQ(a, z))logically implies Vx P(x)AVx Q(a, x). The converse is also easy to see, so these two formulas are indeed equivalent. In general, if C 1 , . . , C,~ are clauses containing the variables x l , . . , x,~, and f is an interpretation with domain D, then V(C1 A C~ A ...

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


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