An environment for simulating multi-agents based on ants behavior

  • Authors:

  • Mohamed Hamada

  • Affiliations:

  • Language Processing Lab, The University of Aizu, Aizuwakamatsu, Fukushima, Japan

  • Venue:
  • ISTASC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Systems Theory and Scientific Computation - Volume 7
  • Year:
  • 2007

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Abstract

Ants are social insects that work in groups to collectively achieve certain goals that can not be achieved by a single ant. One of the most interesting ants' behaviors is the highly optimized path that ants follow, in their foraging, between the source of food and the colony's nest. Researchers are inspired by such optimized behavior in several applications. In this paper we introduce an integrated environment for ants-like agents based on such ants' behavior. Our model can simulate and test the behavior of such agents under various conditions and environment changes.