Rational Multi-Agent Search
We study games in which players search for an optimal action profile. All action profiles are either a success, with a payoff of one, or a failure, with a payoff of zero. Players do not know the location of success profiles; instead each player is privately informed about the marginal distribution of success profiles over his actions. We characterize optimal joint search strategies.
|Date of creation:||03 Dec 2006|
|Date of revision:|
|Contact details of provider:|| Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA|
Web page: http://www.EconomicDynamics.org/
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- Gossner, Olivier & Vieille, Nicolas, 2003.
"Strategic learning in games with symmetric information,"
Games and Economic Behavior,
Elsevier, vol. 42(1), pages 25-47, January.
- GOSSNER, Olivier & VIEILLE, Nicolas, 1998. "Strategic learning in games with symmetric information," CORE Discussion Papers 1998023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- O. Gossner & N. Vieille, 2000. "Strategic Learning in Games with Symmetric Information," THEMA Working Papers 2000-27, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Andreas Blume & John Duffy, 2004. "Organizational Learning: An Experimental Investigation," 2004 Meeting Papers 617, Society for Economic Dynamics.
- Thomas Wiseman, 2005. "A Partial Folk Theorem for Games with Unknown Payoff Distributions," Econometrica, Econometric Society, vol. 73(2), pages 629-645, 03.
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