Название: Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning, 2nd Edition
Автор: Fabrizio Riguzzi
Издательство: River Publishers
Серия: River Publishers Series in Software Engineering
Год: 2023
Страниц: 548
Язык: английский
Формат: pdf (true)
Размер: 34.7 MB
The computational foundations of Artificial Intelligence (AI) are supported by two comer stones: logics and Machine Leaming. Computationallogic has found its realization in a number of frameworks for logic-based approaches to knowledge representation and automated reasoning, such as Logic Program ming, Answer Set Programming, Constraint Logic Programming, Description Logics, and Temporal Logics. Machine Leaming, and its recent evolution to Deep Leaming, has a huge number of applications in video surveillance, social media services, Big Data analysis, weather predictions, spam filtering, online customer support, etc. Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. The intended audience of the book are researchers in Computer Science and AI that want to getan overview of PLP. However, it can also be used by students, especially graduate, to get acquainted with the topic, and by practitioners that would like to get more details on the inner workings of methods.