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:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 TUM01 Volltext |
| 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) |
| Beschreibung: | 1 Online-Ressource (xv, 457 Seiten) |
| ISBN: | 9781108859783 |
| DOI: | 10.1017/9781108859783 |
Internformat
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| 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 |
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| 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 | |
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Datensatz im Suchindex
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| author | Chen, Yan ca. 20./21. Jh Wang, Chih-Yu 1984- Liu, K. J. Ray 1961- Jiang, Chunxiao 1987- |
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| author_sort | Chen, Yan ca. 20./21. Jh |
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| dewey-ones | 003 - Systems |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1017/9781108859783 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:03:03Z |
| indexdate | 2024-07-10T09:12:25Z |
| institution | BVB |
| isbn | 9781108859783 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032850749 |
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| physical | 1 Online-Ressource (xv, 457 Seiten) |
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| spelling | Chen, Yan ca. 20./21. Jh. (DE-588)1240337507 aut 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 Cambridge Cambridge University Press 2021 1 Online-Ressource (xv, 457 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 09 Jul 2021) 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 Game theory System analysis Wang, Chih-Yu 1984- (DE-588)1240337728 aut Liu, K. J. Ray 1961- (DE-588)135610095 aut Jiang, Chunxiao 1987- (DE-588)1240338023 aut Erscheint auch als Druck-Ausgabe 978-1-108-49474-8 https://doi.org/10.1017/9781108859783 Verlag URL des Erstveröffentlichers Volltext |
| 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_exact_search_txtP | 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 |
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