東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Interactions in multiagent systems =...

Leung, Ho-fung.

FindBook

Google Book

Amazon

博客來

Interactions in multiagent systems = fairness, social optimality and individual rationality /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Interactions in multiagent systems/ by Jianye Hao, Ho-fung Leung.
其他題名:	fairness, social optimality and individual rationality /
作者:	Hao, Jianye.
其他作者:	Leung, Ho-fung.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	ix, 178 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Background and Previous Work -- Fairness in Cooperative Multiagent Systems -- Social Optimality in Cooperative Multiagent Systems -- Individual Rationality in Competitive Multiagent Systems -- Social Optimality in Competitive Multiagent Systems -- Conclusion.
Contained By:	Springer eBooks
標題:	Multiagent systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-49470-7
ISBN:	9783662494707

Interactions in multiagent systems = fairness, social optimality and individual rationality /
Hao, Jianye.

Interactions in multiagent systemsfairness, social optimality and individual rationality /[electronic resource] :by Jianye Hao, Ho-fung Leung. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - ix, 178 p. :ill. (some col.), digital ;24 cm.

Introduction -- Background and Previous Work -- Fairness in Cooperative Multiagent Systems -- Social Optimality in Cooperative Multiagent Systems -- Individual Rationality in Competitive Multiagent Systems -- Social Optimality in Competitive Multiagent Systems -- Conclusion.

This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems.

ISBN: 9783662494707

Standard No.: 10.1007/978-3-662-49470-7doiSubjects--Topical Terms:

1048048
Multiagent systems.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Interactions in multiagent systems = fairness, social optimality and individual rationality /
LDR:02104nmm a2200313 a 4500 001 2035897
003 DE-He213
005 20161013151343.0
006 m d
007 cr nn 008maaau
008 161117s2016 gw s 0 eng d
020 $a 9783662494707 $q (electronic bk.)
020 $a 9783662494684 $q (paper)
024 7 $a 10.1007/978-3-662-49470-7 $2 doi
035 $a 978-3-662-49470-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.76.I58 $b H252 2016
100 1 $a Hao, Jianye. $3 2191566
245 1 0 $a Interactions in multiagent systems $h [electronic resource] : $b fairness, social optimality and individual rationality / $c by Jianye Hao, Ho-fung Leung.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2016.
300 $a ix, 178 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- Background and Previous Work -- Fairness in Cooperative Multiagent Systems -- Social Optimality in Cooperative Multiagent Systems -- Individual Rationality in Competitive Multiagent Systems -- Social Optimality in Competitive Multiagent Systems -- Conclusion.
520 $a This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems.
650 0 $a Multiagent systems. $3 1048048
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 891103
650 2 4 $a e-Commerce/e-business. $3 1005486
700 1 $a Leung, Ho-fung. $3 1569657
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-49470-7
950 $a Engineering (Springer-11647)