The development of smart grids has paved the way for sustainable energy infrastructure to transition towards decentralized trading. As intelligent agents, sources engage in trading based on their surplus or deficit. Buyers and sellers (participants) should achieve maximum payoffs which buyers cut costs improve utilities, security sensitive information agents must be guaranteed. This paper provi...

OF THE DISSERTATION LEARNING, EXPERIMENTATION, AND EQUILIBRIUM SELECTION IN GAMES by Youngse Kim Doctor of Philosophy in Economics University of California, Los Angeles, 1992 Professor David K. Levine, Chair This dissertation addresses and resolves problem of selection among multiple equilibria in games, by perturbing the original system and then characterizing the outcome of resulting perturbe...

In this paper, we employ a hypergame framework to analyze the single-leader-multiple-followers (SLMF) Stackelberg security game with two typical misinformed situations: misperception and deception. We provide stability criterion help of hyper Nash equilibrium (HNE) investigate both strategic cognitive equilibria in SLMF games misinformation. fact, find mild stable conditions such that deception...

<p style='text-indent:20px;'>This paper is concerned with a linear quadratic stochastic Stackelberg differential game time delay. The model general, in which the state delay and control both appear equation, moreover, they enter into diffusion term. By introducing two Pseudo-Riccati equations special matrix feedback representation of open-loop strategy derived, under some assumptions. Fin...

In this paper we present the extraproximal method for computing the Stackelberg/Nash equilibria in a class of ergodic controlled finite Markov chains games. We exemplify the original game formulation in terms of coupled nonlinear programming problems implementing the Lagrange principle. In addition, Tikhonov’s regularization method is employed to ensure the convergence of the cost-functions to ...

While three deployed applications of game theory for security have recently been reported, we as a community of agents and AI researchers remain in the early stages of these deployments; there is a continuing need to understand the core principles for innovative security applications of game theory. Towards that end, this paper presents PROTECT, a gametheoretic system deployed by the United Sta...