000041448 000__ 02576cam\a2200805\i\4500 000041448 001__ 41448 000041448 003__ SzGeWIPO 000041448 005__ 20230516093450.0 000041448 008__ 200520s2020\\\\gw\a\\\\ob\\\\000\0\eng\d 000041448 020__ $$a9783030061678$$qe-book 000041448 040__ $$aMiAaPQ$$beng$$erda 000041448 041__ $$aeng 000041448 1001_ $$aMarquis, Pierre;$$aPapini, Odile;$$aPrade, Henri. 000041448 24510 $$aA Guided Tour of Artificial Intelligence Research :$$bVolume II: AI Algorithms. 000041448 264_1 $$aNew York :$$bSpringer,$$c2020. 000041448 300__ $$a1 online resource (529 pages) :$$billustrations 000041448 336__ $$atext$$2rdacontent 000041448 337__ $$acomputer$$2rdamedia 000041448 338__ $$aonline resource$$bcr$$2rdacarrier 000041448 520__ $$aThe 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. 000041448 588__ $$aDescription based on print version record 000041448 650_0 $$aComputers$$xComputer Science 000041448 650_0 $$aComputers$$xIntelligence (AI) & Semantics 000041448 650_0 $$aTechnology & Engineering$$xEngineering (General) 000041448 655_4 $$aElectronic books 000041448 7972_ $$aProQuest (Firm) 000041448 85641 $$uhttps://ebookcentral.proquest.com/lib/wipo/detail.action?docID=6192279&query=A+Guided+Tour+of+Artificial+Intelligence+Research$$zView this Ebook 000041448 904__ $$aBook 000041448 942__ $$2ddc$$cEBOOK 000041448 980__ $$aBIB 000041448 980__ $$aOS