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_c387123 _d387123 |
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| 001 | 387123 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230225121500.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230225s2014 sz | s |||| 0|eng d | ||
| 020 | _a9783031015694 | ||
| 024 | 7 |
_a10.1007/978-3-031-01569-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA269 _b2014 EB |
|
| 100 | 1 |
_aGenesereth, Michael R., _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686120 _d1948- |
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| 245 | 1 | 0 |
_aGeneral Game Playing _cby Michael Genesereth, Michael Thielscher |
| 250 | _a1st edition 2014 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2014 |
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| 300 | _a1 recurso en línea (XVI, 213 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 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 |
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| 998 |
_b02/2023 _dz _eIG _zSI |
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