MULTI-AGENT SIMULATIONS FOR THE RENEWABLE RESOURCE MANAGEMENT
The article is devoted to the research of the renewable resource management and, in particular, the multi-agent approach. Multi–agent systems model the behaviour and interaction of microscopic entities by focusing on their relations to explore parameters and behaviour of the whole system on microscopic level. Multi-agent simulations of this kind allow us to study economic processes in a completely different way, focusing on examining the influence of microagents on the macroscopic parameters of the entire system. In recent related researches the emphasis has been placed on the relations between microscopic and macroscopic levels, using bottom – up and top – bottom approaches.
The authors used the multi–agent approach in order to build a simulation of a renewable resource life cycle. There also was built a model, which uses such tool as the quota for the amount of the collectable resource for harvesting agents to explore how agents will change their behaviour. The behaviour of agents in the simulation is based on a maximization of its own benefit and the MRS (Marginal Rate of Substitution) parameter for the price evaluation. Several experiments were conducted for different values of the Quota parameter, during which the relation between the price level in the markets and the quota for resource extraction was shown. The description of the experiment, its results and conclusions are provided below. The developed solution simplifies the implementation of such experiments in this area, by making the process of their adjustment more flexible and simple.
A framework for creating renewable resource management simulations is being developed. It simplifies the development of environments in order to explore them and to discover diverse patterns and laws within, using particular custom models of agent behaviour. The multi-agent simulator in this article was developed in order to illustrate and discuss the principles of the economic theory of the renewable resource management.
This framework could be used in order to create the environments with the aim of their further studying, using different models of agent behaviour.
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Copyright (c) 2018 J.O. Yereshko, A.M. Tytarenko, I.J. Olesiuk
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