In this article, we examine ways to organize an intelligent autonomous agen
t's goal system to simulate the behavior of a human worker in an enterprise
modelling system called goal orientated multi-agent simulation environment
(GOMASE). In GOMASE, an agent is supplied with a goal hierarchy, activity
digraph, and a motivational mechanism in an attempt to simulate the goal's
activation and attempted satisfaction. The attractiveness of this approach
is that all the goals possessed by the agent are related via the ultimate l
ife goals (i.e., self-preservation and species preservation). By using GOMA
SE to model enterprises, the enterprise modeller can gain an insight into t
he complex behavior of human workers and how they set, prioritize, and exec
ute their goals. In this article, we also provide several sample runs of ou
r system, with a brief explanation on the agent's behaviors.