Reciprocity, evolution, and decision games in network and data science:
Learn 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 tradit...
Gespeichert in:
Beteiligte Personen: | , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2021
|
Schlagwörter: | |
Links: | https://doi.org/10.1017/9781108859783 https://doi.org/10.1017/9781108859783 https://doi.org/10.1017/9781108859783 https://doi.org/10.1017/9781108859783 |
Zusammenfassung: | Learn 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 |
Beschreibung: | Title from publisher's bibliographic system (viewed on 09 Jul 2021) |
Umfang: | 1 Online-Ressource (xv, 457 Seiten) |
ISBN: | 9781108859783 |
DOI: | 10.1017/9781108859783 |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV047448732 | ||
003 | DE-604 | ||
005 | 20221205 | ||
007 | cr|uuu---uuuuu | ||
008 | 210901s2021 xx o|||| 00||| eng d | ||
020 | |a 9781108859783 |c Online |9 978-1-108-85978-3 | ||
024 | 7 | |a 10.1017/9781108859783 |2 doi | |
035 | |a (ZDB-20-CBO)CR9781108859783 | ||
035 | |a (OCoLC)1268194086 | ||
035 | |a (DE-599)BVBBV047448732 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-92 |a DE-91 | ||
082 | 0 | |a 003/.72 | |
100 | 1 | |a Chen, Yan |d ca. 20./21. Jh. |0 (DE-588)1240337507 |4 aut | |
245 | 1 | 0 | |a Reciprocity, evolution, and decision games in network and data science |c Yan 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 | |a Cambridge |b Cambridge University Press |c 2021 | |
300 | |a 1 Online-Ressource (xv, 457 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Title from publisher's bibliographic system (viewed on 09 Jul 2021) | ||
520 | |a Learn 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 | 4 | |a Game theory | |
650 | 4 | |a System analysis | |
700 | 1 | |a Wang, Chih-Yu |d 1984- |0 (DE-588)1240337728 |4 aut | |
700 | 1 | |a Liu, K. J. Ray |d 1961- |0 (DE-588)135610095 |4 aut | |
700 | 1 | |a Jiang, Chunxiao |d 1987- |0 (DE-588)1240338023 |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-108-49474-8 |
856 | 4 | 0 | |u https://doi.org/10.1017/9781108859783 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-20-CBO | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032850749 | |
966 | e | |u https://doi.org/10.1017/9781108859783 |l DE-12 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1017/9781108859783 |l DE-92 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1017/9781108859783 |l DE-91 |p ZDB-20-CBO |q TUM_Paketkauf_2021 |x Verlag |3 Volltext |
Datensatz im Suchindex
DE-BY-TUM_katkey | 2702936 |
---|---|
_version_ | 1821936521457958912 |
any_adam_object | |
author | Chen, Yan ca. 20./21. Jh Wang, Chih-Yu 1984- Liu, K. J. Ray 1961- Jiang, Chunxiao 1987- |
author_GND | (DE-588)1240337507 (DE-588)1240337728 (DE-588)135610095 (DE-588)1240338023 |
author_facet | Chen, Yan ca. 20./21. Jh Wang, Chih-Yu 1984- Liu, K. J. Ray 1961- Jiang, Chunxiao 1987- |
author_role | aut aut aut aut |
author_sort | Chen, Yan ca. 20./21. Jh |
author_variant | y c yc c y w cyw k j r l kjr kjrl c j cj |
building | Verbundindex |
bvnumber | BV047448732 |
collection | ZDB-20-CBO |
ctrlnum | (ZDB-20-CBO)CR9781108859783 (OCoLC)1268194086 (DE-599)BVBBV047448732 |
dewey-full | 003/.72 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 003 - Systems |
dewey-raw | 003/.72 |
dewey-search | 003/.72 |
dewey-sort | 13 272 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1017/9781108859783 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02515nam a2200445zc 4500</leader><controlfield tag="001">BV047448732</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20221205 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210901s2021 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108859783</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-108-85978-3</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/9781108859783</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9781108859783</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1268194086</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047448732</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">003/.72</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Yan</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="0">(DE-588)1240337507</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reciprocity, evolution, and decision games in network and data science</subfield><subfield code="c">Yan 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</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 457 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Title from publisher's bibliographic system (viewed on 09 Jul 2021)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn 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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Game theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">System analysis</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Chih-Yu</subfield><subfield code="d">1984-</subfield><subfield code="0">(DE-588)1240337728</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, K. J. Ray</subfield><subfield code="d">1961-</subfield><subfield code="0">(DE-588)135610095</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Chunxiao</subfield><subfield code="d">1987-</subfield><subfield code="0">(DE-588)1240338023</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-108-49474-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/9781108859783</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032850749</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781108859783</subfield><subfield code="l">DE-12</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781108859783</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781108859783</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">TUM_Paketkauf_2021</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047448732 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T19:19:50Z |
institution | BVB |
isbn | 9781108859783 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032850749 |
oclc_num | 1268194086 |
open_access_boolean | |
owner | DE-12 DE-92 DE-91 DE-BY-TUM |
owner_facet | DE-12 DE-92 DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (xv, 457 Seiten) |
psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO TUM_Paketkauf_2021 |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Cambridge University Press |
record_format | marc |
spellingShingle | Chen, Yan ca. 20./21. Jh Wang, Chih-Yu 1984- Liu, K. J. Ray 1961- Jiang, Chunxiao 1987- Reciprocity, evolution, and decision games in network and data science Game theory System analysis |
title | Reciprocity, evolution, and decision games in network and data science |
title_auth | Reciprocity, evolution, and decision games in network and data science |
title_exact_search | Reciprocity, evolution, and decision games in network and data science |
title_full | Reciprocity, evolution, and decision games in network and data science Yan 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 |
title_fullStr | Reciprocity, evolution, and decision games in network and data science Yan 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 |
title_full_unstemmed | Reciprocity, evolution, and decision games in network and data science Yan 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 |
title_short | Reciprocity, evolution, and decision games in network and data science |
title_sort | reciprocity evolution and decision games in network and data science |
topic | Game theory System analysis |
topic_facet | Game theory System analysis |
url | https://doi.org/10.1017/9781108859783 |
work_keys_str_mv | AT chenyan reciprocityevolutionanddecisiongamesinnetworkanddatascience AT wangchihyu reciprocityevolutionanddecisiongamesinnetworkanddatascience AT liukjray reciprocityevolutionanddecisiongamesinnetworkanddatascience AT jiangchunxiao reciprocityevolutionanddecisiongamesinnetworkanddatascience |