| dc.description.abstract | In the agent-based modeling approach, agents play an important role indetermining the behavior of the system. The agents are autonomous componentsof the agent-based model of a real system. An agent is defined as having a set offeatures and rules governing behavior and decision-making. In this study, anumerical solution is presented for determining some rules of behaviors of agents.Behavioral functions that will guide the actions of the agents in the model arehandled with the Taylor series approach. The Taylor series can estimate a functionvalue at the initial agent in terms of the function value and its derivatives atanother agent. An agent-based cross-sectional model is examined with someexperimental results by using Taylor series expansion. Compared to the results ofthe study which is presented with the agent-based modeling approach, the TaylorSeries obtains successful solutions based on distance points of the agents. Thisstudy presents a hybrid model perspective by proposing a numerical methodapproach to determining agent behaviors. | |
