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Contents : Ant Foraging Revisited Liviu A. Panait and Sean Luke George Mason University Fairfax VA 22030 lpanait@cs.gmu.edu sean@cs.gmu.edu Abstract Most previous arti cial ant foraging models have to date relied to some degree on a priori knowledge of the environment in the form of explicit gradients generated by the nest by hard-coding the nest location in an easily-discoverable place or by imbuing the arti cial ants with the knowledge of the nest direction. In contrast the work presented solves ant fora...[more]

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