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Emergent weak home-range behaviour without spatial memory.

Tomoko Sakiyama1, Yukio-Pegio Gunji2

  • 1Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology , Okayama University , Okayama , Japan.

Royal Society Open Science
|July 19, 2016
PubMed
Summary

This study introduces an agent-based model for habitat search, demonstrating that agents can exhibit home-range behavior using simple cognitive strategies and local environmental scanning rather than complex spatial memory.

Keywords:
agent-based modelexploitationexplorationhome rangemovement strategy

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Area of Science:

  • Ecology
  • Computational Biology
  • Behavioral Ecology

Background:

  • Traditional home-range models often assume significant spatial memory capacity in animals.
  • Real-world organisms display adaptive behaviors using simpler cognitive abilities.

Purpose of the Study:

  • To develop and test an agent-based model simulating habitat search with limited cognitive capacity.
  • To investigate if simple environmental scanning and memory can produce home-range-like behavior.

Main Methods:

  • An agent-based model was created where agents use locally perceived information.
  • Agents scanned local environments to acquire memorized information, not specific resource locations.
  • Agents adapted resource selection rules when current environments matched memorized data.

Main Results:

  • The model demonstrated that agents could revisit previously exploited sites while exploring new ones.
  • This behavior mimics a weak form of home-range property.
  • Adaptive and flexible habitat search emerged from simple cognitive rules.

Conclusions:

  • Complex spatial memory is not essential for exhibiting home-range properties.
  • Agent-based models can effectively simulate adaptive behaviors using local information and simple memory.
  • This approach offers a more realistic representation of animal space use.