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On Heterogeneity in Foraging by Ant-Like Colony: How Local Affects Global and Vice Versa

  • Yuichiro SueokaEmail author
  • Kazuki Nakayama
  • Masato Ishikawa
  • Yasuhiro Sugimoto
  • Koichi Osuka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9882)

Abstract

In this paper, we discuss influence of heterogeneity in ant-like colony, i.e., how the ratio of individuals (ants) obeying two different action rules affects the behavior of whole colony. For this purpose, we focus on the foraging task – searching the field for food sources, transporting the food packets to the nest. The two types of ants include what we call hard-working and lazy ants, and we perform statistical analyses to show that moderate existence of the lazy ants would boost efficient food transportation; in particular, we point out that the lazy ants play as explorer of newly emerged food sources, but also as global sensor to capture global information through their local experience, thanks to their moving-around behavior. Based on these observations, we propose a distributed estimation method of global information, i.e., to estimate the global mixture ratio by local encounter frequency with other lazy ants. Finally, we expand the estimation method to distributed control strategy of the global mixture ratio, called on-line switching strategy, where every ant dynamically alternates its obeying rules from the hard-working to the lazy and vice versa, based on its local encounter experience.

Keywords

Transportation Mode Mixture Ratio Action Rule Pheromone Trail Global Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This research is partially supported by JSPS KAKENHI Grant Number 15H06360.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Yuichiro Sueoka
    • 1
    Email author
  • Kazuki Nakayama
    • 1
  • Masato Ishikawa
    • 1
  • Yasuhiro Sugimoto
    • 1
  • Koichi Osuka
    • 1
  1. 1.Department of Mechanical EngineeringOsaka UniversityOsakaJapan

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