DocumentCode :
2352008
Title :
Managing Multiple Interacting Adaptive Systems Via Game Theory
Author :
Wolpert, David ; Kulkarni, Nilesh
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA
fYear :
2008
fDate :
22-25 June 2008
Firstpage :
459
Lastpage :
466
Abstract :
We consider the problem of a "manager" who controls some variables y that affect a set of interacting, goal-oriented agents. We model such agents as players in a noncooperative game, with y being parameters of that game. So the manager\´s problem is how to change the game so that the resultant equilibrium behavior of the players optimizes a utility function of the manager. This can be viewed as an extension of the problem of mechanism design, to allow bounded rational players, to exploit knowledge concerning players not directly affected by y, and to allow arbitrary types of y. We introduce a solution to this problem and illustrate it with computer experiments.
Keywords :
adaptive systems; game theory; multi-agent systems; bounded rational players; equilibrium behavior; game theory; interacting goal-oriented agents; multiple interacting adaptive systems; noncooperative game; utility function; Adaptive control; Adaptive systems; Communication system control; Conference management; Control systems; Game theory; Hardware; Humans; NASA; Programmable control; Adaptive Systems; Game Theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Adaptive Hardware and Systems, 2008. AHS '08. NASA/ESA Conference on
Conference_Location :
Noordwijk
Print_ISBN :
978-0-7695-3166-3
Type :
conf
DOI :
10.1109/AHS.2008.58
Filename :
4584307
Link To Document :
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