000 | 04057nam a22005535i 4500 | ||
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001 | 978-3-031-79248-9 | ||
003 | DE-He213 | ||
005 | 20240730164021.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2011 sz | s |||| 0|eng d | ||
020 |
_a9783031792489 _9978-3-031-79248-9 |
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024 | 7 |
_a10.1007/978-3-031-79248-9 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aOzdaglar, Asu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981684 |
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245 | 1 | 0 |
_aNetwork Games _h[electronic resource] / _cby Asu Ozdaglar, Ishai Menache. |
250 | _a1st ed. 2011. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2011. |
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300 |
_aXV, 143 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 |
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505 | 0 | _aStatic Games and Solution Concepts -- Game Theory Dynamics -- Wireline Network Games -- Wireless Network Games -- Future Perspectives. | |
520 | _aTraditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information. However, most of today's networks are large-scale with lack of access to centralized information, consist of users with diverse requirements, and are subject to dynamic changes. These factors naturally motivate a new distributed control paradigm, where the network infrastructure is kept simple and the network control functions are delegated to individual agents which make their decisions independently ("selfishly"). The interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives. This monograph studies game theoretic models of resource allocation among selfish agents in networks. The first part of the monograph introduces fundamental game theoretic topics. Emphasis is given to the analysis of dynamics in game theoretic situations, which is crucial for design and control of networked systems. The second part of the monograph applies the game theoretic tools for the analysis of resource allocation in communication networks. We set up a general model of routing in wireline networks, emphasizing the congestion problems caused by delay and packet loss. In particular, we develop a systematic approach to characterizing the inefficiencies of network equilibria, and highlight the effect of autonomous service providers on network performance. We then turn to examining distributed power control in wireless networks. We show that the resulting Nash equilibria can be efficient if the degree of freedom given to end-users is properly designed. Table of Contents: Static Games and Solution Concepts / Game Theory Dynamics / Wireline Network Games / Wireless Network Games / Future Perspectives. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aCooperating objects (Computer systems). _96195 |
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650 | 0 |
_aProgramming languages (Electronic computers). _97503 |
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650 | 0 |
_aTelecommunication. _910437 |
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650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aCyber-Physical Systems. _932475 |
650 | 2 | 4 |
_aProgramming Language. _939403 |
650 | 2 | 4 |
_aCommunications Engineering, Networks. _931570 |
700 | 1 |
_aMenache, Ishai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981685 |
|
710 | 2 |
_aSpringerLink (Online service) _981686 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031792472 |
776 | 0 | 8 |
_iPrinted edition: _z9783031792496 |
830 | 0 |
_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 _981687 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-79248-9 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c85223 _d85223 |