Improvement of Bias and Rising Threshold Algorithm based on Local Information Sharing

Nhuhai Phung, Masao Kubo, Hiroshi Sato

Abstract

This paper improves BRT algorithm based on Local Information Sharing (BRT-Lis) to apply to the practical problems which locations related environments. We consider how to adjust the local parameters so that agreed behavior could be obtained optimally. We also examine how the Local Information Sharing influences the agreement with a simple position changing model.

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Paper Citation


in Harvard Style

Phung N., Kubo M. and Sato H. (2018). Improvement of Bias and Rising Threshold Algorithm based on Local Information Sharing.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: HAMT, ISBN 978-989-758-275-2, pages 339-344. DOI: 10.5220/0006751603390344


in Bibtex Style

@conference{hamt18,
author={Nhuhai Phung and Masao Kubo and Hiroshi Sato},
title={Improvement of Bias and Rising Threshold Algorithm based on Local Information Sharing},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: HAMT,},
year={2018},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006751603390344},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: HAMT,
TI - Improvement of Bias and Rising Threshold Algorithm based on Local Information Sharing
SN - 978-989-758-275-2
AU - Phung N.
AU - Kubo M.
AU - Sato H.
PY - 2018
SP - 339
EP - 344
DO - 10.5220/0006751603390344