Download Inductive Logic Programming: From Machine Learning to by Francesco Bergadano PDF

By Francesco Bergadano

Although Inductive common sense Programming (ILP) is usually regarded as a study area
at the intersection of computer studying and computational common sense, Bergadano and Gunetti suggest that
most of the learn in ILP has in truth come from desktop studying, really within the evolution of
inductive reasoning from trend acceptance, via preliminary techniques to symbolic machine
learning, to fresh options for studying relational innovations. during this booklet they supply an
extended, updated survey of ILP, emphasizing equipment and structures compatible for software
engineering purposes, together with inductive software improvement, trying out, and
maintenance.Inductive common sense Programming incorporates a definition of the elemental ILP challenge and its
variations (incremental, with queries, for a number of predicates and predicate invention
capabilities), an outline of bottom-up operators and methods (such as least general
generalization, inverse solution, and inverse implication), an research of top-down methods
(mainly MIS and FOIL-like systems), and a survey of tools and languages for specifying inductive
bias.Logic Programming series

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