Abstract In this paper, we consider the problem of tax evasion, which occurs whenever an individual or business ignores laws. Fighting evasion is main task Economic and Financial Military Police, annually performs fiscal controls to track down prosecute evaders at national level. Due limited financial resources, inspector unable audit population entirely. article, propose a model assist Italian...

Energy policy is too often not designed for energy consumers in a low-cost and consumer-friendly manner. This paper proposes novel Stackelberg game Blockchain-based framework that enables consumer-centric decarbonization by automating iterative negotiations between makers or generators to reduce carbon emissions. negotiation modeled as game-theoretic problem, securely facilitated Blockchain tec...

Cognitive jammers are able to deploy advanced strategies that degrade the performance of cognitive radio user communications. In this paper, we study the problem of power allocation in cognitive radio user and jammer games, over parallel Gaussian channels. We model the interaction between a communicator (a transmitter-receiver pair) and a jammer using zero-sum games with continuous action sets;...

Game theory is an efficient tool to represent and conceptualize the problems concerning conflict and competition. In recent years and especially for durable products, competition between domestic and foreign brands for gaining market share has received a considerable attention. This paper study electronic commerce concepts by differential game theory and introduce a novel and comprehensive mode...

While the past literature on game theory rarely addresses the implementation of protocols that converge to Nash equilibria, practical networks must be designed with protocols that correctly address issues of information asymmetries, hysteresis effects due to these asymmetries, and the fact that information can propagate only locally on networks. To this end, we develop a distributed protocol ba...

Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then the other player (the follower) observes that strategy and bestresponds to it. However, in real-world applications, it is hard to determine whether the follower is actually able to observe the leader’s mixed strategy befo...

This paper formulates an integrated inventory model that allows Stackelberg game policy for optimizing joint total cost of a vendor and buyer system. After receiving the lot, the buyer commences an inspection process to determine the defective items. All defective items the buyer sends to vendor during the receiving of the next lot. Due to increasing number of shipments fixed and variable trans...

We consider a multiple access channel where the users choose their best power control strategy in order to selfishly maximize their energy-efficiency. To increase the utilities with respect to the classical non-cooperative game, we introduce hierarchy in two ways. On the one hand, assuming singleuser decoding at the receiver, we investigate a Stackelberg formulation of the game where one user i...

Game theory has become an important tools for making resource allocations decision in security domains, including critical infrastructure protection. Many of these games are formulated as Stackelberg security games. We present new analysis and algorithms for a class of Stackelberg security games with identical, fully protective defender resources. The first algorithm has worst-case complexity l...

Some game theory approaches to solve multiagent reinforcement learning in self play, i.e. when agents use the same algorithm for choosing action, employ equilibriums, such as the Nash equilibrium, to compute the policies of the agents. These approaches have been applied only on simple examples. In this paper, we present an extended version of Nash Q-Learning using the Stackelberg equilibrium to...