While the use of water basin simulation tools and the optimization methods have been progressed, there are still issues of the human interaction and the natural systems. The changing conditions as realized by population growth, increasing water demand, declining water resources, and climate change have led to an increasingly complex system of water resources management. An important issue in water resources management is to use the resources so as to meet a variety of demands. Equations have been developed in framework of Agent-based models to show the level of cooperation of agricultural consumers and reduction of consumption. Also, in this research an analysis has been done to evaluate the interaction between unauthorized water wells, RWA and Public prosecutor’s office (PPO) and controlling the act of fraud. For this purpose, three sub-models were designed. The first sub-model is related to the agent’s behavioral model. The second sub-model is related to the water resource system model. The third sub-model was designed to analyze the interests of water consumers, which shows the impact of decisions on their benefits. The sub-model of behavior consists of two parts. The first part is the result of the behavior model-water resources is used and applied to simulate the behavior of agricultural sector consumers and their decision making in terms of consumption management and reduction of exploitation. The second part analyzes and evaluates the performance of the RWA in the control of unauthorized wells. In this research three scenarios have been designed and implemented in Lenjanat sub-basin one of the Gavkhooni basin. In the first part of behavioral-water management modeling, two scenarios developed to consider 1-fines for over exploitation water from wells and 2- developing connections between farmers agent for evaluating the effect of training and advertising on the use of new irrigation systems. The results showed that in the first scenario, consumers behave absolutely non-cooperative in the absence of a fine for over exploitation water. But with a different level of fines for over exploitation water, the level of cooperation varies. For example, at fine of 100 Rials for one cubic meter water, 76% of consumers in agricultural section behave non-cooperative in the 100% simulation period and demand for excess water. Also increasing water table for the price of 10000 Rials is 2.2 m at the end simulation period. Evaluating the effect of second scenario and developing connections between farmer's agent for advertising and education showed the amount of the radius of neighborhoods on trained consumers has a significant impact on untrained consumers behavior and water table aquifer. For example, changing the radius of the neighborhood from 500 to 2000 meters increases the number of encouraged consumers by 40% and improved the water table aquifer by 1.5 meters. The second part of the modeling, derived from the application of the water resource-behavioral model for control unauthorized wells. Two efficient and inefficient sub-scenarios are defined in framework of third scenario for assessing the effects of such parameters as ‘meetings of regional water agencies held with other public organizations”. Results revealed that changes in the behavior and interactions of Regional Water Authority with Public Prosecutor’s office and Stakeholders under the inefficient sub-scenario led to reduced violations of law by 36% while elimination of this parameter in the efficient sub-scenario led to an increase of 72% in violation control. Results of both sub-scenarios showed that proper interactions of the Regional Water Authority with other stakeholders led to the control of illegal water ions and the rise of water table about 4 meters under the efficient sub-scenario. Keywords Agent-based modeling, Interaction, AnyLogic, Systems dynamic