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This work presents an agent based behavioural model that simulates decision making ability of individual characters of primary social groups in crowd simulations. The proposed approach includes a decision function which is used by each character in order to select the most appropriate goal from a list of predefined goals. This decision function selects a goal for an agent by evaluating attractions to goals, distance to goals, decisions of fellow companions in the agent’s group, and attractions towards such companions. The behavioural realism of this model was evaluated through a series of experiments that compared parameters of real world scenarios with their simulated counterparts. The level of realism at which the model simulates characters is suitable for crowd simulations in entertainment related applications such as video games and movies. Further, the profiling of the algorithm shows that the approach is capable of being deployed in real-time applications such as video games. (Received in March 2015, accepted in May 2016. This paper was with the authors 7 months for 1 revision.)

Modelling Goal Selection of Characters in Primary Groups in Crowd Simulations