Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning (River Publishing in Software Engineering)
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Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning (River Publishing in Software Engineering)

by Fabrizio Riguzzi

Computer Science artificial intelligence Software Engineering
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Foundations of Probabilistic Logic Programming introduces the core ideas behind a field that brings together logic programming and probability. Fabrizio Riguzzi covers languages, semantics, inference, and learning, offering a structured foundation for readers interested in theoretical and practical aspects of this software engineering topic.

About This Book

Foundations of Probabilistic Logic Programming explores a programming paradigm that combines logical representation with probability.

The book addresses the languages used in probabilistic logic programming and the semantics that give those languages meaning.

It also examines inference, the process of drawing conclusions within probabilistic logic programs, and learning from information or data.

Written by Fabrizio Riguzzi, this title is situated within software engineering and is intended for readers seeking a foundational treatment of the subject.

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I will be using this book for: