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020 _a9783030061678
024 7 _a10.1007/978-3-030-06167-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ335
_b2020 EB
245 0 2 _aA Guided Tour of Artificial Intelligence Research
_nVolume II,
_pAI Algorithms
_cedited by Pierre Marquis, Odile Papini, Henri Prade
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020
300 _a1 recurso en línea (XV, 523 páginas)
_b121 ilustraciones, 25 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aFrom the content: Heuristically Ordered Search in State Graphs -- Meta-Heuristics and Artificial Intelligence -- Automated Deduction.
520 3 _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.
988 _aSpringer_Robotics_23062020
650 7 _2embne
_aInteligencia artificial
_9413115
700 1 _aMarquis, Pierre
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/no95011193
_1http://viaf.org/viaf/38956779
700 1 _aPapini, Odile
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/n96006114
_1http://viaf.org/viaf/24756579
700 1 _aPrade, Henri
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/n79135861
_1http://viaf.org/viaf/54318166
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
776 0 8 _iPrinted edition:
_z9783030061661
776 0 8 _iPrinted edition:
_z9783030061685
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-06167-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2020
_dz
_eIG
_zSI