"Simulating Flocking in an Environment Supporting Predation"
Aaron Patterson 2004
Abstract
The field of artificial intelligence focuses on replicating real world behaviors with a computer in such a way that the behaviors appear as accurate and believable as possible. This paper continues the discussion of behavioral algorithms by extending the concepts towards the topic of behavioral simulations. The proposed simulation aspires to replicate real world actions of both predators and prey as a result of simplistic behavioral routines. In this case, the simulation models entites that flock and the flock's reactions to predation attempts.