agent-based modeling

In the present study, using System Dynamics (SD) and Agent-Based Modeling (ABM), which are two common methods for investigating complex systems, the dynamic model of water security for the Neyshabur Plain watershed using the agent-based software NetLogo with the aim of identifying and analyzing the impact of different water consumption sectors on the state of water security in the watershed was designed and presented. The results show the effectiveness and reliability of the water security model presented in the present study. Therefore, it can be used to predict the water security situation in the future years in the Neishabur Plain  and while considering different scenarios in order to change the modifiable parameters of the model, and observing the impact of each of them on the water security situation in the basin, the best scenario and in line with that the best solution to improve water security in the Neyshabur Plain watershed can be determined.

According to debates and concerns about environmental changes, land use coverage changes have been taken seriously in recent decades. One of the most popular approaches to the simulation is Agent-Based Modelling (ABM). ABM is a set of computational models for simulating the actions and reactions of autonomous agents. The purpose of this research in 2016, is to simulate the status of agricultural land use cover changes in Babolsar over the next 30 years using the mathematical programming based-multi agent system (MP-MAS). The results showed that rain fed products would eliminate from the cultivation pattern of the region, and the development of mechanized Rice cultivation will occur. The area under cultivation of the horticultural products of the region will grow from 3,959 hectares to over 5585 hectares. The results will help managers with a strategic insight at the future of agricultural land use cover changes as they can simulate feedback on their policies and economic decisions.