000 | 01999nam a2200373 i 4500 | ||
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001 | CR9781108859783 | ||
003 | UkCbUP | ||
005 | 20240919182356.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 190715s2021||||enk o ||1 0|eng|d | ||
020 | _a9781108859783 (ebook) | ||
020 | _z9781108494748 (hardback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
050 | 0 | 0 |
_aT57.92 _b.C44 2021 |
082 | 0 | 0 |
_a003/.72 _223 |
100 | 1 |
_aChen, Yan _c(Authority on networks), _eauthor. |
|
245 | 1 | 0 |
_aReciprocity, evolution, and decision games in network and data science / _cYan Chen, University of Science and Technology of China, Chih-Yu Wang, Academia Sinica, Chunxiao Jiang, Tsinghua University, K.J. Ray Liu, University of Maryland, College Park. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2021. |
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300 |
_a1 online resource (xv, 457 pages) : _bdigital, PDF file(s). |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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500 | _aTitle from publisher's bibliographic system (viewed on 09 Jul 2021). | ||
520 | _aLearn how to analyse and manage evolutionary and sequential user behaviours in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behaviour, and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing. | ||
650 | 0 | _aGame theory. | |
650 | 0 | _aSystem analysis. | |
700 | 1 |
_aWang, Chih-Yu, _d1984- _eauthor. |
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700 | 1 |
_aLiu, K. J. Ray, _d1961- _eauthor. |
|
700 | 1 |
_aJiang, Chunxiao, _d1987- _eauthor. |
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776 | 0 | 8 |
_iPrint version: _z9781108494748 |
856 | 4 | 0 | _uhttps://doi.org/10.1017/9781108859783 |
942 |
_2ddc _cEB |
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999 |
_c9787 _d9787 |