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This paper investigates design of noncooperative games from a control theoretic perspective. Pricing mechanisms are used as a design tool to ensure that the Nash equilibrium of a broad class of noncooperative games satisfies certain global objectives such as welfare maximization. The class of games considered provide a theoretical basis for a variety of decentralized resource allocation and control...
The general problem of Nash equilibrium design is investigated from an optimization perspective. Within this context, a specific but fairly broad class of noncooperative games are considered that have been applied to a variety of settings including network congestion control, wireless uplink power control, and optical power control. The Nash equilibrium design problem is analyzed under various knowledge...
A game theoretic recommendation system is presented that aims to improve security alert dissemination and evaluation. The system increases the efficiency of its users (e.g. system administrators), who operate under time and resource limitations, by improving the information flow from security experts. Combining security alerts and local information the system recommends a resource allocation strategy...
We propose a method for the detection of trends in social bookmarking systems. Compared to other work in this emerging field, our approach has a more sound statistical basis. In order to cope with the problem of vanishing probabilities due to data sparsity, we apply smoothing and show that it allows for an easy calibration of our trend detector resulting in better generalization and scalability. We...
Vehicular ad-hoc networks (VANETs) enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications is an emerging research field aiming to improve transportation security, reliability, and management. To better understand networking and security aspects of VANETs, we have been investigating network connectivity issues and mappings of car networks to the underlying road topology...
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