A Navigation Algorithm Inspired by Human Navigation
Abstract
Human navigation has been a topic of interest in spatial cognition from the past few decades. It has been experimentally observed that humans accomplish the task of way-finding a destination in an unknown environment by recognizing landmarks. Investigations using network analytic techniques reveal that humans, when asked to way-find their destination, learn the top ranked nodes of a network. In this paper we report a study simulating the strategy used by humans to recognize the centers of a network. We show that the paths obtained from our simulation has the same properties as the paths obtained in human based experiment. The simulation thus performed leads to a novel way of path-finding in a network. We discuss the performance of our method and compare it with the existing techniques to find a path between a pair of nodes in a network.
Cite
@article{arxiv.1111.4898,
title = {A Navigation Algorithm Inspired by Human Navigation},
author = {Vijesh M. and Sudarshan Iyengar and Vijay Mahantesh and Amitash Ramesh and Veni Madhavan},
journal= {arXiv preprint arXiv:1111.4898},
year = {2011}
}
Comments
Human Navigation, Path Concatenation, Hotspots, Center Strategic Paths, Approximation Algorithm