Parsimonious Ways to Use Vision for Navigation
Author(s) -
Paul Graham,
Bart Baddeley,
Andrew Philippides,
Ken Cheng
Publication year - 2012
Publication title -
i-perception
Language(s) - English
Resource type - Journals
ISSN - 2041-6695
DOI - 10.1068/id226
Subject(s) - computer science , natural (archaeology) , artificial intelligence , recall , spatial memory , human–computer interaction , cognition , cognitive science , psychology , cognitive psychology , geography , working memory , neuroscience , archaeology
The use of visual information for navigation appears to be a universal strategy for sighted animals, amongst which, one particular group of expert navigators are the ants. The broad interest in studies of ant navigation is in part due to their small brains, thus biomimetic engineers expect to be impressed by elegant control solutions, and psychologists might hope for a description of the minimal cognitive requirements for complex spatial behaviours. In this spirit, we have been taking an interdisciplinary approach to the visual guided navigation of ants in their natural habitat. Behavioural experiments and natural image statistics show that visual navigation need not depend on the remembering or recognition of objects. Further modelling work suggests how simple behavioural routines might enable navigation using familiarity detection rather than explicit recall, and we present a proof of concept that visual navigation using familiarity can be achieved without specifying when or what to learn, nor separating routes into sequences of waypoints. We suggest that our current model represents the only detailed and complete model of insect route guidance to date. What's more, we believe the suggested mechanisms represent useful parsimonious hypotheses for the visually guided navigation in larger-brain animals
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