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01796nam a22003375i 4500 |
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20210907102906.0 |
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cr nn 008mamaa |
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160628s2016 gw | s |||| 0|eng d |
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|a 9783319321134
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| 024 |
7 |
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|a 10.1007/978-3-319-32113-4
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 100 |
1 |
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|a Ho, Seng-Beng.
|e author.
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| 245 |
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|a Principles of Noology :
|b Toward a Theory and Science of Intelligence /
|c by Seng-Beng Ho.
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| 250 |
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|a 1st ed. 2016.
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| 260 |
# |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XIX, 431 p. 241 illus., 220 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
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|a Socio-Affective Computing,
|v 3
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| 505 |
0 |
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|a Preface -- Acknowledgement -- Introduction -- Rapid Unsupervised Effective Causal Learning -- A General Noological Framework -- Conceptual Grounding and Operational Representation -- Causal Rules, Problem Solving, and Operational Representation -- The Causal Role of Sensory Information -- Application to the StarCraft Game Environment -- A Grand Challenge for Noology and Computational Intelligence -- Affect Driven Noological Processes -- Summary and Beyond -- Appendix A: Causal vs Reinforcement Learning -- Appendix B: Rapid Effective Causal Learning Algorithm -- Index. .
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|a Neurosciences.
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|a Artificial intelligence.
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|a Computational intelligence.
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|a Neurosciences.
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|a Artificial Intelligence.
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|a Computational Intelligence.
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| 650 |
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|a Science, Humanities and Social Sciences, multidisciplinary.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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