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Network games : theory, models, and dynamics

Record Type:	Language materials, printed : monographic
Title Information:	theory, models, and dynamics
Author:	MenacheIshai,
Alternative Intellectual Responsibility:	OzdaglarAsuman E.,
Place of Publication:	[San Rafael, Calif.]
Published:	Morgan & Claypool;
Year of Publication:	c2011
Description:	xv, 143 p.ill. : 24 cm.;
Series:	Synthesis lectures on communication networks
Subject:	Games - Computer network resources. -
Subject:	Game theory. -
Subject:	Computer networks - Design and construction. -
Notes:	Online version also available
Summary:	Traditional 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
ISBN:	978-1-60845-408-2pbk.
ISBN:	1-60845-408-8pbk.

Network games : theory, models, and dynamics
Menache, Ishai

Network games : theory, models, and dynamics / Ishai Menache, Asuman Ozdaglar - [San Rafael, Calif.] : Morgan & Claypool, c2011. - xv, 143 p. ; ill. ; 24 cm.. - (Synthesis lectures on communication networks ; #9).
Online version also available.
Includes bibliographical references (p. 135-142).
ISBN 978-1-60845-408-2ISBN 1-60845-408-8
Games - Computer network resources.Game theory.Computer networks - Design and construction.

Ozdaglar, Asuman E.

Network games : theory, models, and dynamics
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215 1 $a xv, 143 p. $c ill. $d 24 cm.
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320 $a Includes bibliographical references (p. 135-142)
330 $a Traditional 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
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701 1 $a Ozdaglar $b Asuman E. $3 272006
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