Open AccessEmergent weak home-range behaviour without spatial memory
Author(s) -
Tomoko Sakiyama,
Yukio Pegio Gunji
Publication year - 2016
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.160214
Subject(s) - exploit , computer science , home range , range (aeronautics) , resource (disambiguation) , property (philosophy) , space (punctuation) , selection (genetic algorithm) , adaptive memory , spatial analysis , cognition , artificial intelligence , ecology , habitat , psychology , geography , neuroscience , biology , computer security , remote sensing , computer network , philosophy , epistemology , operating system , materials science , composite material
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.