Optimal switching between geocentric and egocentric strategies in navigation
Animals use a combination of egocentric navigation driven by the internal integration of environmental cues, interspersed with geocentric course correction and reorientation. These processes are accompanied by uncertainty in sensory acquisition of information, planning and execution. Inspired by obs...
Main Authors: | , |
---|---|
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.160128 |
id |
doaj-a8fa5823f0e64b47abd1eef04946cc26 |
---|---|
record_format |
Article |
spelling |
doaj-a8fa5823f0e64b47abd1eef04946cc262020-11-25T03:52:37ZengThe Royal SocietyRoyal Society Open Science2054-57032016-01-013710.1098/rsos.160128160128Optimal switching between geocentric and egocentric strategies in navigationO. PelegL. MahadevanAnimals use a combination of egocentric navigation driven by the internal integration of environmental cues, interspersed with geocentric course correction and reorientation. These processes are accompanied by uncertainty in sensory acquisition of information, planning and execution. Inspired by observations of dung beetle navigational strategies that show switching between geocentric and egocentric strategies, we consider the question of optimal reorientation rates for the navigation of an agent moving along a preferred direction in the presence of multiple sources of noise. We address this using a model that takes the form of a correlated random walk at short time scales that is punctuated by reorientation events leading to a biased random walks at long time scales. This allows us to identify optimal alternation schemes and characterize their robustness in the context of noisy sensory acquisition as well as performance errors linked with variations in environmental conditions and agent–environment interactions.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160128navigationrandom walkscognitionoptimal switching |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
O. Peleg L. Mahadevan |
spellingShingle |
O. Peleg L. Mahadevan Optimal switching between geocentric and egocentric strategies in navigation Royal Society Open Science navigation random walks cognition optimal switching |
author_facet |
O. Peleg L. Mahadevan |
author_sort |
O. Peleg |
title |
Optimal switching between geocentric and egocentric strategies in navigation |
title_short |
Optimal switching between geocentric and egocentric strategies in navigation |
title_full |
Optimal switching between geocentric and egocentric strategies in navigation |
title_fullStr |
Optimal switching between geocentric and egocentric strategies in navigation |
title_full_unstemmed |
Optimal switching between geocentric and egocentric strategies in navigation |
title_sort |
optimal switching between geocentric and egocentric strategies in navigation |
publisher |
The Royal Society |
series |
Royal Society Open Science |
issn |
2054-5703 |
publishDate |
2016-01-01 |
description |
Animals use a combination of egocentric navigation driven by the internal integration of environmental cues, interspersed with geocentric course correction and reorientation. These processes are accompanied by uncertainty in sensory acquisition of information, planning and execution. Inspired by observations of dung beetle navigational strategies that show switching between geocentric and egocentric strategies, we consider the question of optimal reorientation rates for the navigation of an agent moving along a preferred direction in the presence of multiple sources of noise. We address this using a model that takes the form of a correlated random walk at short time scales that is punctuated by reorientation events leading to a biased random walks at long time scales. This allows us to identify optimal alternation schemes and characterize their robustness in the context of noisy sensory acquisition as well as performance errors linked with variations in environmental conditions and agent–environment interactions. |
topic |
navigation random walks cognition optimal switching |
url |
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160128 |
work_keys_str_mv |
AT opeleg optimalswitchingbetweengeocentricandegocentricstrategiesinnavigation AT lmahadevan optimalswitchingbetweengeocentricandegocentricstrategiesinnavigation |
_version_ |
1724481814755540992 |