The Reactive-Causal Architecture (ReCau) is a cognitive agent architecture which is proposed to simulate human-like intelligence while satisfying the core attributes of believable agents. ReCau combines intentional notion and motivation theories. ReCau agents are entities driven by their unsatisfied needs, to satisfy those needs they act intentionally while satisfaction and dissatisfaction of needs results in affect display. In this paper, the results of a multi-agent based simulation called radar task are presented. With the help of this simulation, ReCau is compared with some other existing agent and cognitive architectures. The results indicate that ReCau provides a highly realistic decision-making mechanism. This architecture; therefore, contributes towards the solution for the development of believable agents. © JASSS.