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008 230225s2014 sz | s |||| 0|eng d
020 _a9783031015694
024 7 _a10.1007/978-3-031-01569-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA269
_b2014 EB
100 1 _aGenesereth, Michael R.,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686120
_d1948-
245 1 0 _aGeneral Game Playing
_cby Michael Genesereth, Michael Thielscher
250 _a1st edition 2014
264 1 _aCham
_bSpringer International Publishing
_c2014
300 _a1 recurso en línea (XVI, 213 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Artificial Intelligence and Machine Learning
_x1939-4616
505 0 _aPreface -- Introduction -- Game Description -- Game Management -- Game Playing -- Small Single-Player Games -- Small Multiple-Player Games -- Heuristic Search -- Probabilistic Search -- Propositional Nets -- General Game Playing With Propnets -- Factoring -- Discovery of Heuristics -- Logic -- Analyzing Games with Logic -- Solving Single-Player Games with Logic -- Discovering Heuristics with Logic -- Games with Incomplete Information -- Games with Historical Constraints -- Incomplete Game Descriptions -- Advanced General Game Playing -- Authors' Biographies.
520 _aGeneral game players are computer systems able to play strategy games based solely on formal game descriptions supplied at "runtime" (n other words, they don't know the rules until the game starts). Unlike specialized game players, such as Deep Blue, general game players cannot rely on algorithms designed in advance for specific games; they must discover such algorithms themselves. General game playing expertise depends on intelligence on the part of the game player and not just intelligence of the programmer of the game player. GGP is an interesting application in its own right. It is intellectually engaging and more than a little fun. But it is much more than that. It provides a theoretical framework for modeling discrete dynamic systems and defining rationality in a way that takes into account problem representation and complexities like incompleteness of information and resource bounds. It has practical applications in areas where these features are important, e.g., in business and law. More fundamentally, it raises questions about the nature of intelligence and serves as a laboratory in which to evaluate competing approaches to artificial intelligence. This book is an elementary introduction to General Game Playing (GGP). (1) It presents the theory of General Game Playing and leading GGP technologies. (2) It shows how to create GGP programs capable of competing against other programs and humans. (3) It offers a glimpse of some of the real-world applications of General Game Playing.
988 _aSynthesis Collection of Technology_2014
650 7 _2embne
_9160750
_aProgramación lógica
650 7 _2embne
_9686845
_aTeoría de juegos
700 1 _aThielscher, Michael
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_999599
776 0 8 _iPrinted edition:
_z9783031004414
776 0 8 _iPrinted edition:
_z9783031026973
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01569-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2023
_dz
_eIG
_zSI