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Simulation of
Collective Behavior

C#, Unity

This is a research project during my time as a research assistant at the Graphics and Interaction Lab at Peking University.

 

The main contribution of this work is that we designed a novel framework for simulating collective animal behavior in pursuit-evasion scenarios and proposed algorithms for both animal herds respectively.

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The result of our work can be easily transplanted to the theoretical study of the collective behaviors of other herds and has a strong potential chance of being utilized in the game AI system. 

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I submitted this paper as the first author to CGI'2022 and was selected by the committee to receive the CGI2022 Best Paper Award.

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