A network of social sensors estimate an unknown state of nature by performing Bayesian Social Learning, and myopically optimize individual reward functions. The decisions of the social sensors contain quantized information about the underlying state. How should a fusion center dynamically incentivize the social sensors for acquiring the information about the underlying state? This paper present...

I present two modifications of the Vickrey-Clark-Groves mechanism to accommodate bidders’ budget constraints in the combinatorial auction setting and show that they are Pareto-Optimal and (partially) incentive compatible in certain domains.

We revisit the problem of designing the profit-maximizing single-item auction, solved by Myerson in his seminal paper for the case in which bidder valuations are independently distributed. We focus on general joint distributions, seeking the optimal deterministic incentive compatible auction. We give a geometric characterization of the optimal auction, resulting in a duality theorem and an effi...

This paper studies optimal menus of debt contracts such as secured debentures or bonds, in the presence of diversity of opinions between borrowers and lenders. We first characterize incentive compatible contracts, then prove the existence of optimal debt contracts. Finally, we are able to explicitly characterize such optimal menus within a specific case: we notably show that borrowers optimally...

Designing incentive schemes for Peer-to-Peer (P2P) multimedia sharing applications, where the participating peers find it in their self-interest to contribute resources rather than to “free-ride”, is challenging due to the unique features exhibited by such networks: large populations of anonymous peers interacting infrequently, asymmetric interests of peers, network errors, multiple concurrent ...

An important result in convex analysis is the duality between a closed convex set and its support function. We exploit this duality to develop a novel geometric approach to mechanism design. For a general class of social choice problems we characterize the feasible set, which is closed and convex, and its support function. We next provide a geometric interpretation of incentive compatibility an...

Nowadays, demand response programs (DRPs) play an important role in price reduction and reliability improvement. In this paper, an optimal integrated model for the emergency demand response program (EDRP) and dynamic economic emission dispatch (DEED) problem has been developed. Customer’s behavior is modeled based on the price elasticity matrix (PEM) by which the level of DRP is determined for ...