|Workplace||Brussels, Brussels (Capital Region), Belgium|
Job description The Université Libre de Bruxelles (ULB) is seeking candidates for a postdoctoral position in Game theory, . The research will be performed with the groups of Prof. Tom Lenaerts (MLG) and Prof. Georg Kirchsteiger (ECARES) at the ULB.
This works builds on the expertise of these groups in (evolutionary) . Your work will consist of performing a series of behavioral experiments, as defined in the research context below, analyze them and report on the . The research is based on prior work 1 .
: Whenever people need to decide with whom to initiate a strategic interaction, they use information on their potential partners.
As partners are aware of the role this information plays, they will try to control what is made available and will anticipate how their decisions in other situations . Although, group formation and network dynamics are highly influenced by this information-sharing dilemma, there is little insight into which information people prefer to disclose and how this affects trust, group compositions and strategic decision-making.
Using methods of experimental economics and theoretical modeling we here will examine these entangled dynamics within the context of a sequential prisoners’ dilemma game . Through three experiments we will investigate what information people disclose in the partner selection stage of the game, whether these differences lead to self-selection and thus different outcomes in cooperation and trust and how, when people can have multiple partners, this disclosure affects network structure.
In parallel, but intertwined with the experimental part, minimal models of this co-evolutionary dynamics will be developed and analyzed to . These models will provide information concerning the importance of certain parameters in the experiments and will be refined through the experimental results.
These refinements should lead to models with 1 Zisis, I., Di Guida, S., Han, T. A., Kirchsteiger, G., & Lenaerts, T. (2015). Generosity motivated by acceptance
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and reference JobID 1108.
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