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Ants-Like Agents: A Model and Analysis Based on Natural Ants Behavior

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Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5559))

Abstract

Ants are social insects that work in groups to collectively achieve certain goals that cannot 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.

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Author information

Authors and Affiliations

  1. University of Aizu, Aizu Wakamatsu, Japan

    Mohamed Hamada

Authors
  1. Mohamed Hamada
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Editor information

Editors and Affiliations

  1. Department of Computer and Systems Science, Stockholm University, Forum 100, 164 40, Kista, Sweden

    Anne Håkansson

  2. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Department of Computer Science, Franklin University, 201 South Grant Ave., 43215, Columbus, Ohio, USA

    Ronald L. Hartung

  4. School of Environment and Technology, Centre for SMART Systems, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  5. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Hamada, M. (2009). Ants-Like Agents: A Model and Analysis Based on Natural Ants Behavior. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-01665-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01664-6

  • Online ISBN: 978-3-642-01665-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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