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Generative Adversarial Networks (GANs) have recently attracted considerable attention in the AI community due to their ability to generate high-quality data of significant statistical resemblance to real data. Fundamentally, GAN is a game between two neural networks trained in an adversarial manner to reach a zero-sum Nash equilibrium profile. Despite the improvement accomplished in GANs in the last few years, several issues remain to be solved. This paper reviews the literature on the game-theoretic aspects of GANs and addresses how game theory models can address specific challenges of generative models and improve the GAN's performance. We first present some preliminaries, including the basic GAN model and some game theory background. We then present taxonomy to classify state-of-the-art solutions into three main categories: modified game models, modified architectures, Games of GANs and modified learning methods. The classification is based on modifications made to the basic GAN model by proposed game-theoretic approaches in the literature. We then explore the objectives of each category and discuss recent works in each class. Finally, we discuss the remaining challenges in this field and present future research directions.

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This paper deals with seismotectonic and seismicity analysis of the Damghan region, the central part of Semnan province, northeast of Iran. Seismotectonic and seismicity maps s well as active faults of the region were introduced and an earthquake catalogue of the studied area (up to 150 km radiuses) was prepared. This study addresses the main historical and instrumental earthquakes and their causative faults. Available seismic data were normalized by means of the time normalization technique that resulted in evaluating the magnitude-frequency relationship and estimating the return period of earthquakes of different magnitudes. Some active faults present in the region namely Damghan fault, north-Damghan fault, Atari fault and Astaneh fault are sources of earthquakes. Finally, the constructions were analyzed and classified and the vulnerability of the various types of structures was studied.