000 01999nam a2200373 i 4500
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.
300 _a1 online resource (xv, 457 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
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.
700 1 _aLiu, K. J. Ray,
_d1961-
_eauthor.
700 1 _aJiang, Chunxiao,
_d1987-
_eauthor.
776 0 8 _iPrint version:
_z9781108494748
856 4 0 _uhttps://doi.org/10.1017/9781108859783
942 _2ddc
_cEB
999 _c9787
_d9787