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An Experimental in Rule-based Crowd Behavior for Intelligent Games

Authors: Seongdong Kim; Christoph Hoffmann; Jae Moon Lee;

An Experimental in Rule-based Crowd Behavior for Intelligent Games

Abstract

Today video games and animated movies and robotics involve individual and collective character behavior. To this end, behavior algorithms are studied to identify underlying principles of how information flows between the characters and research studies consider animal behavior. The prey-predator models could be based on simple attraction / repulsion. In this paper, we will primarily restrict to the behavior of prey-predator with regard to finding mathematical models and simulating prey-predator interactions. Our main motivation are applications in computer games.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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