## Inductive Logic ProgrammingInductive logic programming is a new research area formed at the intersection of machine learning and logic programming. While the influence of logic programming has encouraged the development of strong theoretical foundations, this new area is inheriting its experimental orientation from machine learning. Inductive Logic Programming will be an invaluable text for all students of computer science, machine learning and logic programming at an advanced level. * * Examination of the background to current developments within the area * Identification of the various goals and aspirations for the increasing body of researchers in inductive logic programming * Coverage of induction of first order theories, the application of inductive logic programming and discussion of several logic learning programs * Discussion of the applications of inductive logic programming to qualitative modelling, planning and finite element mesh design |

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Page 146

New experience can often require the

write this as Flies ( r ) — Bird ( 1 ) ( 1 ) If you were told that although an emu is a

bird it cannot fly you would have to

New experience can often require the

**specialization**of over - general beliefs . ...write this as Flies ( r ) — Bird ( 1 ) ( 1 ) If you were told that although an emu is a

bird it cannot fly you would have to

**specialize**( 1 ) to deal with this exception .Page 147

2 Generalization and

generality can be expressed within the framework of logic . Let P and Q be two

well - formed formulae . P is more general than Q if and only if PEQ . We might

also ...

2 Generalization and

**specialization**Niblett ( 31 ) has shown that the concept ofgenerality can be expressed within the framework of logic . Let P and Q be two

well - formed formulae . P is more general than Q if and only if PEQ . We might

also ...

Page 153

An implementation in Prolog of the Closed World

been completed . This version of the algorithm forms part of the CIGOL system .

So far the implementation has been tested and works as expected .

An implementation in Prolog of the Closed World

**Specialization**aLGORITHM hasbeen completed . This version of the algorithm forms part of the CIGOL system .

So far the implementation has been tested and works as expected .

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### Contents

Inductive Logic Programming | 4 |

A Framework for Inductive Logic Programming | 9 |

oor A | 22 |

Copyright | |

26 other sections not shown

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### Common terms and phrases

algorithm allows applied approach arguments assume background knowledge base body called CIGOL CLINT complete Computer concept consistent constrained atoms constraint constructed contains correct corresponding covers defined definition derivation described domain theory efficient equivalent examples exists explanation expression extend facts false Figure finite first-order formula function given GOLEM ground head Horn clauses hypothesis implied inductive inference input instances Intelligence introduced inverse knowledge knowledge base language least limit literals Logic Programming Machine Learning method Muggleton negative examples non-monotonic Note occur operator ordinary polynomial positive positive examples possible predicates present problem Proceedings proof properties prove queries reasoning relation replacing representation representative resolution respect restricted result rules saturation sentences similar sorted atoms space specialization specific step structure substitution symbol Theorem theory tree true values variables