Emergent weak home-range behaviour without spatial memory

Space-use problems have been well investigated. Spatial memory capacity is assumed in many home-range algorithms; however, actual living things do not always exploit spatial memory, and living entities can exhibit adaptive and flexible behaviour using simple cognitive capacity. We have developed an...

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Main Authors: Tomoko Sakiyama, Yukio-Pegio Gunji
Format: Article
Language:English
Published: The Royal Society 2016-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160214
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author Tomoko Sakiyama
Yukio-Pegio Gunji
author_facet Tomoko Sakiyama
Yukio-Pegio Gunji
author_sort Tomoko Sakiyama
collection DOAJ
description Space-use problems have been well investigated. Spatial memory capacity is assumed in many home-range algorithms; however, actual living things do not always exploit spatial memory, and living entities can exhibit adaptive and flexible behaviour using simple cognitive capacity. We have developed an agent-based model wherein the agent uses only detected local regions and compares global efficiencies for a habitat search within its local conditions based on memorized information. Here, memorized information was acquired by scanning locally perceived environments rather than remembering resource locations. When memorized information matched to its current environments, the agent changed resource selection rules. As a result, the agent revisited previous resource sites while exploring new sites, which was demonstrating a weak home-range property.
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spelling doaj.art-002fe494125b4285b87c731721fc4e752022-12-21T21:09:52ZengThe Royal SocietyRoyal Society Open Science2054-57032016-01-013610.1098/rsos.160214160214Emergent weak home-range behaviour without spatial memoryTomoko SakiyamaYukio-Pegio GunjiSpace-use problems have been well investigated. Spatial memory capacity is assumed in many home-range algorithms; however, actual living things do not always exploit spatial memory, and living entities can exhibit adaptive and flexible behaviour using simple cognitive capacity. We have developed an agent-based model wherein the agent uses only detected local regions and compares global efficiencies for a habitat search within its local conditions based on memorized information. Here, memorized information was acquired by scanning locally perceived environments rather than remembering resource locations. When memorized information matched to its current environments, the agent changed resource selection rules. As a result, the agent revisited previous resource sites while exploring new sites, which was demonstrating a weak home-range property.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160214home rangeagent-based modelmovement strategyexploitationexploration
spellingShingle Tomoko Sakiyama
Yukio-Pegio Gunji
Emergent weak home-range behaviour without spatial memory
Royal Society Open Science
home range
agent-based model
movement strategy
exploitation
exploration
title Emergent weak home-range behaviour without spatial memory
title_full Emergent weak home-range behaviour without spatial memory
title_fullStr Emergent weak home-range behaviour without spatial memory
title_full_unstemmed Emergent weak home-range behaviour without spatial memory
title_short Emergent weak home-range behaviour without spatial memory
title_sort emergent weak home range behaviour without spatial memory
topic home range
agent-based model
movement strategy
exploitation
exploration
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160214
work_keys_str_mv AT tomokosakiyama emergentweakhomerangebehaviourwithoutspatialmemory
AT yukiopegiogunji emergentweakhomerangebehaviourwithoutspatialmemory