A Computational Behavior Model for Life-Like Intelligent Agents

In this paper a novel computational behavior model is proposed which has a simple structure and also includes some of the major affecting parameters to the decision making process such as the agent’s emotions, personality, intelligence level and physical situation. The effect of these parameters has been studied and the model has been simulated in a goal-achieving scenario for four agents with different characteristics. Simulation results show that the behavior of these intelligent agents are natural and believable and suggest that this model can be used as the decision making and behavior control unit of future life-like intelligent agents.

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