This paper considers the coordinated radio resource allocation problem for users which are simultaneously covered by multiple overlapping heterogeneous wireless networks. As the resource allocation decision depends on the channel measurement and feedback from users, inefficiency and instability arise if a selfish user can manipulate its measured channel state to increase its gain from network. ...

There is a large literature aimed at characterizing the social choice functions that can be implemented in Bayes Nash equilibria. This literature typically takes agents’information as exogenously given and …xed throughout the analysis. While for some problems this may be appropriate, the assumption is problematic for others. A typical analysis, relying on the revelation principle, maximizes som...

We demonstrate how the standard usage of random incentive system in ambiguity experiments eliciting certainty and probability equivalents might not be compatible if decision-maker is averse. propose a slight modification procedure which randomization takes place before decisions are made state realized, prove that subjects evaluate experimental environment way (first-risk, second-uncertainty), ...

Several structural results for the set of competitive equilibria in trading networks with frictions are established: The lattice theorem, rural hospitals existence side‐optimal equilibria, and a group‐incentive‐compatibility result hold imperfectly transferable utility presence frictions. While our developed network model, they also imply analogous (and new) exchange economies combinatorial dem...

la mouillabilite est un phenomene pui depend d'un grand nombre de facteurs. chacun de ces facteurs , qu'il soit d'order physipue ou chimipue, joue un grand role. on peut distinguer : 1 - la granulometrie du solide. elle est en relation avec la surface sped fipue des solides . plus cette surface est en grande, plus le mouillage est fort. 2 - la temperature : l'elevation de la...

In a constraint optimization problem for multiple agents, the agents have conflicting preferences in the final solution and the goal is to find an optimal assignment that maximizes total utilities of all agents. Two major challenges when solving constraint optimization problems for multiple agents are the complexity of finding optimal solution and the incentive compatibility for participating a...