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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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deposited different argentine programming about suggest biology successfully mayjun capabilities franks mechanism connect individual simpler literature creates searching single agents deplete viewed however given reduces previous models deposit gradients orthogonal relied foraging based these shortest similar source selection imbuing clustering launchbaugh location items discussed knowledge interested evolution meters resulting collectively permits represented liviu kinds tasks produces social phases kruger gradually resembles replaces shorter blackboard eschewed second making humile monte university recruit sense features assumption leading leafcutter system mechanisms application using multi insects forage closest periods strikingly themselves happens investigation there larger earliest cient deneubourg locate central contrast essentially eadfafda leaving depositing obstacles formalism observed carlo generated symmetric getting process direction among popular george previously paper amounts quickly establish agent moreover applications cogne revisited focus introduction decision simple nding wilson plausible ebook cannot eliminates connecting estimatingindustry inter identical concentrating presented hundreds place mason local present trails established distant degree global reduce fashion easily which accumulate discovery pheromones existing holldobler patterns assume lpanait pheromone consists problem nature multiple example search nearly discoverable under while guide because their complexity concentrations simulations laden behavior approaches biologically known priori located architecture several gradient along alife suggested solves kurumatani download algorithm released nakamura communication bonabeau abstract organize blind environment adjustment already sources algorithms presence order further learn depleted returning information other instead explicit learns communigate robotics compass follow itself research choose lengths sites coding model modeling resnick complicated robots locations diffuses change paths devices linepithema beckers forgetting dynamic shopping inspired problems addition adhoc concerns increasingly applied generally swarm panait fairfax

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