In today complex worldwide supply chains, intermediary organizations like Contract manufacturers and GPOs are mostly used. Well-known OEMs delegate their purchasing and procuring to these intermediaries. Because of their positive influence on supply chain efficiency, it is very important to investigate the role of intermediaries in today competitive supply chains. One important question arising...

Given a general-sum normal form game and a prediction of opponent behavior it is difficult to select a strategy which balances the opportunity to exploit the prediction with the risk of being exploited. We propose Restricted Stackelberg Response with Safety (RSRS), a novel way of generating such a strategy. RSRS uses an r-safe Stackelberg equilibrium in a modified game, which is created to refl...

Recently, the boosting growth of computation-heavy applications raises great challenges for Fifth Generation (5G) and future wireless networks. As responding, hybrid edge cloud computing (ECC) system has been expected as a promising solution to handle increasing computational with low-latency on-demand services computation offloading, which requires new resource sharing access control technolog...

We consider a cognitive wireless network in which users adopt a spectrum sharing strategy based on cooperation constraints. The majority of cognitive radio schemes bifurcate the role of players as either cooperative or non-cooperative. In this work, however, we modify this strategy to one in which players are hybrid, i.e., both cooperative and non-cooperative. Using a Stackelberg game strategy,...

As discussed in previous chapters, algorithmic research on Stackelberg Security Games has had a striking real-world impact. But an algorithm that computes an optimal strategy for the defender can only be as good as the game it receives as input, and if that game is an inaccurate model of reality then the output of the algorithm will likewise be flawed. Consequently, researchers have introduced ...

This article examines shelf-space allocation and pricing decisions in the marketing channel as the results of a static game played à la Stackelberg between two manufacturers of competing brands and one retailer. The competing manufacturers act as leaders that play a simultaneous and noncooperative game. They fix their transfer prices by taking into account the shelf-space allocation and price-m...

Bayesian Stackelberg games have been used to compute optimal patrol strategies for the security of the Los Angeles International Airport (LAX) by modelling the security situation as a 1-leader, 1-follower, Bayesian game where there is one leader type and an arbitrary number of follower types. A previous approach, named DOBSS, computes the Stackelberg solution for this game by solving a Mixed In...

We present a game-theoretic approach to optimize the strategies of toll enforcement on a motorway network. In contrast to previous approaches, we consider a network with an arbitrary topology, and we handle the fact that users may choose their Origin-Destination path; in particular they may take a detour to avoid sections with a high control rate. We show that a Nash equilibrium can be computed...

We consider a hierarchical game theoretic model for cognitive radio (CR) networks in which primary users (PU) set the price to charge secondary users (SU) for accessing the licensed spectrum and SUs optimize their transmit powers according to the price imposed by PUs. Pricing strategies can be tailored to steer SUs to a Stackelberg equilibrium. We establish a coalition formation game framework ...

We investigate the solvability of the reverse Stackelberg game. Here, a leader player acts first by presenting a leader function that maps the follower decision space into the leader decision space. Subsequently, the follower acts by determining his optimal decision variable. Such a game setting can be adopted within a multi-level optimization approach for large-scale control problems like road...