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

Nhuhai Phung; Masao Kubo; Hiroshi Sato

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Paper

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 1: HAMT, 339-344, 2018 , Funchal, Madeira, Portugal

Authors: Nhuhai Phung ; Masao Kubo and Hiroshi Sato

Affiliation: National Defense Academy, Japan

Keyword(s): Agreement Algorithm, Local Information Sharing, Trial and Error.

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 several formats:

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 1: HAMT; ISBN 978-989-758-275-2; ISSN 2184-433X, SciTePress, pages 339-344. DOI: 10.5220/0006751603390344

@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 1: HAMT},
year={2018},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006751603390344},
isbn={978-989-758-275-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT
TI - Improvement of Bias and Rising Threshold Algorithm based on Local Information Sharing
SN - 978-989-758-275-2
IS - 2184-433X
AU - Phung, N.
AU - Kubo, M.
AU - Sato, H.
PY - 2018
SP - 339
EP - 344
DO - 10.5220/0006751603390344
PB - SciTePress