• DocumentCode
    2605545
  • Title

    Foraging behavior of fish schools via diffusion adaptation

  • Author

    Tu, Sheng-Yuan ; Sayed, Ali H.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    Fish organize themselves into schools as a way to defend against predators and improve foraging efficiency. In this work we develop a model for food foraging and explain how a school of fish can move as a group if every fish were to employ a distributed strategy, known as diffusion adaptation. The algorithm assumes the fish sense the general direction of food and can also infer the general direction of motion of their neighbors. The result indicates that a simple diffusion algorithm can account for the foraging behavior. The study also reveals that some form of communication among the fish is crucial to achieve schooling.
  • Keywords
    aquaculture; natural resources; diffusion adaptation; fish schools; food foraging; foraging behavior; Adaptation model; Biological system modeling; Computational modeling; Educational institutions; Estimation; Random variables; Signal processing; Distributed signal processing; adaptation; adaptive networks; diffusion; fish schools; self-organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Information Processing (CIP), 2010 2nd International Workshop on
  • Conference_Location
    Elba
  • Print_ISBN
    978-1-4244-6457-9
  • Type

    conf

  • DOI
    10.1109/CIP.2010.5604109
  • Filename
    5604109