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| 020 | _a9783030937584 | ||
| 024 | 7 |
_a10.1007/978-3-030-93758-4 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQ334 _b2022 EB |
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_aArtificial General Intelligence : _b14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15-18, 2021, Proceedings _cedited by Ben Goertzel, Matthew Iklé, Alexey Potapov |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
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| 300 |
_a1 recurso en línea (XI, 367 páginas) _b65 ilustraciones |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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_aLecture Notes in Artificial Intelligence _v13154 |
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| 505 | 0 | _aArtificial General Intelligence -- Artificial Intelligence.-Natural language processing. Knowledge representation and reasoning -- Cognitive science -- Intelligent agents -- Multi-agent systems -- Cognitive robotics -- Computer vision -- Machine learning -- Unsupervised learning -- Reinforcement learning -- Transfer learning. Deep learning -- Neural networks. Probabilistic graphical models -- Inductive learning. | |
| 520 | _aThis book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021. The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _vCongresos _9413115 |
|
| 650 | 7 |
_2embne _9152630 _aIngeniería del software _vCongresos |
|
| 700 | 1 |
_aGoertzel, Ben _eeditor literario |
|
| 700 | 1 |
_aIklé, Matthew _eeditor literario |
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| 700 | 1 |
_aPotapov, Alexey _eeditor literario |
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| 773 | 0 | _tSpringer Nature eBook | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-93758-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b03/2022 _dz _eu _zSI |
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