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...
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| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2021
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| Subjects: | |
| 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 |
| Summary: | 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 |
| Item Description: | Title from publisher's bibliographic system (viewed on 09 Jul 2021) |
| Physical Description: | 1 Online-Ressource (xv, 457 Seiten) |
| ISBN: | 9781108859783 |
| DOI: | 10.1017/9781108859783 |
Staff View
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| id | DE-604.BV047448732 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:19:50Z |
| institution | BVB |
| isbn | 9781108859783 |
| language | English |
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| owner_facet | DE-12 DE-92 DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xv, 457 Seiten) |
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| 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 |
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