Hybrid warfare has been one of the topics of interest in recent years. This warfare has been given special importance due to the involvement of different economic, political, social, military and similar layers and its analysis has been complicated. Therefore, in addition to the need to upgrade the war game from the traditional way to the hybrid field, its multi-layer modeling and simulation is one of the necessities of today's war game. In this article, for the first time, by using the capabilities of the Python programming language and inspired by NATO's multi-layer software in simulating such wars, an agent-based framework has been developed for the development of modeling and Simulation of Hybrid warfare should be presented and implemented in the form of a computer program using the pygame library and based on the Mesa format as a modular framework for building, analyzing and visualizing agent-based models. The presentation of this framework is the basis for the development of advanced simulations in the field of Hybrid warfare as a new paradigm in modern wars and plays an effective role in creating defensive capabilities in addition to offensive capabilities in this regard. The framework considered in this article has been implemented in two general formats, first for modeling and simulating conventional warfare and then for unconventional warfare (hybrid warfare). The second format includes upgrading the framework introduced in conventional warfare to hybrid warfare by adding two layers of economic and cyber warfare. The recent format shows that the existing simulation methods based on conventional warfare can be developed into hybrid warfare simulation methods with agent-based modeling and by adding different levels of warfare as separate topic layers.
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