EAN: 9783030061661

A GUIDED TOUR OF ARTIFICIAL INTELLIGENCE RESEAR...

The purpose of this book is to provide an overview of AI research  ranging from basic work to
interfaces and applications  with as much emphasis on results as on current issues. It is aimed
at an audience of master students and Ph.D. students  and can be of interest as well for
researchers and engineers who want to know more about AI. The book is split into three volumes:
- the first volume brings together twenty-three chapters dealing with the foundations of
knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge
representation  reasoning and learning) - the second volume offers a view of AI  in fourteen
chapters  from the side of the algorithms (Volume 2. AI Algorithms) - the third volume 
composed of sixteen chapters  describes the main interfaces and applications of AI (Volume 3.
Interfaces and applications of AI). This second volume presents the main families of algorithms
developed or used in AI to learn  to infer  to decide. Generic approaches to problem solving
are presented: ordered heuristic search  as well as metaheuristics are considered. Algorithms
for processing logic-based representations of various types (first-order formulae 
propositional formulae  logic programs  etc.) and graphical models of various types (standard
constraint networks  valued ones  Bayes nets  Markov random fields  etc.) are presented. The
volume also focuses on algorithms which have been developed to simulate specific 'intelligent
processes such as planning  playing  learning  and extracting knowledge from data. Finally  an
afterword draws a parallel between algorithmic problems in operation research and in AI.

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