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arXiv · 1111.4898

A Navigation Algorithm Inspired by Human Navigation

Vijesh M.·Sudarshan Iyengar·Vijay Mahantesh·Amitash Ramesh·Veni Madhavan
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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.

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Vijesh M., Sudarshan Iyengar, Vijay Mahantesh, Amitash Ramesh, Veni Madhavan. 2011-11-21. A Navigation Algorithm Inspired by Human Navigation. https://arxiv.org/abs/1111.4898

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