Algorithm and Data Structures of the Agent-Based Model of Trade Wars

In this paper we present the model of trade wars considering four countries and the rest world as key participants. For this task the agent-based approach has been chosen that is appropriate for assessing consequences of trade restrictions at the micro-level. There are three groups of agents in the model: countries, organizations and citizens. Trade relations are simulated as supplies between agents-organizations in different countries. Each country in the model has a national currency, tax and budget system, and is capable of imposing sanctions to other countries in the form of trade restrictions on import and export of goods. For assessing consequences of these restrictions in the model we propose an algorithm, which decreases supplies of organizations from countries involved in trade conflicts and distributes the missing supplies among domestic suppliers and suppliers from countries that did not impose trade restrictions. We also present structure of information support of the model and methods of processing initial data to the form, which is applicable for loading them into the model.