Faculty Profiles - SUZUKI, Reiji

Papers - SUZUKI, Reiji

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The effects of evolutionary selection methods for material types in soft robot design based on co-evolution of morphology, material, and control Reviewed

Nanako Shimaoka, Reiji Suzuki, Takaya Arita

Proceedings of the Joint Symposium of the 27th International Symposium on Artificial Life and Robotics and the 7th International Symposium on BioComplexity, and the 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics page： 184 - 189 2022.1

AI player creation for the picture-guessing card game: Dixit: Four research questions related to human cognition Reviewed

Koki Iwata, Reiji Suzuki, and Takaya Arita

A constructive approach toward the evolution of co-representation Reviewed

Yusuke Yamato, Reiji Suzuki, Takaya Arita

The cultural evolution of memes based on communicative interactions in language among chatting agents using a generative model Reviewed

Soichiro Hirata, Reiji Suzuki, Takaya Arita

セルオートマトンによる生命性の探究：ライフゲームからLenia へ Invited Reviewed

有田隆也, 川口貴子, 鈴木麗璽

Vol. 37 ( 1 ) page： 12 - 18 2022.1

音声コミュニケーションの起源に対する仮想生物進化アプローチ Invited Reviewed

鈴木麗璽, 関崚平, 坂野孝広, 河合恒輝, 有田　隆也

人工知能 Vol. 37 ( 1 ) page： 35 - 42 2022.1

鳴禽類のメスのさえずりの役割の理解に向けた音源定位手法の活用に関する一検討

page： 6 - 11 2021.11

複数マイクアレイを用いたキンカチョウの時空間的発声パターンに基づく個体間相互作用の調査

炭谷晋司, 鈴木麗璽, 有田隆也, 和多和宏, 松林志保, 中臺一博, 奥乃博

第58回人工知能学会 AIチャレンジ研究会資料 page： 12 - 20 2021.11

An IoT-based Framework for Understanding Continuous Social Dynamics in a Face-to-Face and Spatially Situated Environment

Zineb Elhamer, Reiji Suzuki, Takaya Arita

IPSJ SIG Technical Report Vol. 2021-MPS-135 ( 4 ) 2021.10

ロボット聴覚技術に基づく鳥類音声の方位角・仰角に関する音源定位と音風景の観測

鈴木麗璽, 林晃一郎, 大坂英樹, 松林志保, 有田隆也, 中臺一博, 奥乃博

日本鳥学会 2021年度大会講演予稿集 page： 41 2021.9

野外での鳥類鳴き声観測のためのWebベース録音ユニットと可視化ツールの試作

炭谷晋司, 大和祐介, 鈴木麗璽, 小島諒介, 有田隆也, 中臺一博, 奥乃博

第39回日本ロボット学会学術講演会予稿集 page： 2D4-03 2021.9

An artificial creature approach to the origin of acoustic communication Reviewed

Reiji Suzuki, Ryohei Seki, Takahiro Banno, Kouki Kawai and Takaya Arita

Proceedings of the 2021 Conference on Artificial Life (ALIFE2021) ( 87 ) 2021.7

A design of a virtual agent that facilitates a spatial and online communication by use of social particle swarm model Reviewed

Meito Tsuruta, Reiji Suzuki and Takaya Arita

Proceedings of the 2021 Conference on Artificial Life (ALIFE2021) ( 89 ) 2021.7

Introducing asymptotics to the state-updating rule in Lenia Reviewed

Takako Kawaguchi, Reiji Suzuki, Takaya Arita

Proceedings of the 2021 Conference on Artificial Life (ALIFE2021) ( 91 ) 2021.7

A Shift from Material to Informational Aspects of Shared Resources can Promote Language Evolution Invited Reviewed

Hiroto Yonenoh, Reiji Suzuki and Takaya Arita

Advances in Artificial Intelligence (Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020)) 2021.7

An Experimental Framework for Exploring the Social Dynamics of a Real-Time Physical Network Composed of Human Participants Using Beacon Technology Invited Reviewed

Zineb Elhamer, Reiji Suzuki and Takaya Arita

Advances in Artificial Intelligence (Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020)) page： 232 - 238 2021.7

Virtual Creature Morphology - A Review Reviewed International coauthorship

G. Lai, F.F. Leymarie, W. Latham, T. Arita, R. Suzuki

Computer Graphics Forum Vol. 40 ( 2 ) page： 659 - 681 2021.6

Non-Invasive Monitoring of the Spatio-Temporal Dynamics of Vocalizations among Songbirds in a Semi Free-Flight Environment Using Robot Audition Techniques

Shinji Sumitani, Reiji Suzuki, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno

Birds Vol. 2 ( 2 ) page： 158 - 172 2021.4

Language：English Publishing type：Research paper (scientific journal) Publisher：MDPI AG

To understand the social interactions among songbirds, extracting the timing, position, and acoustic properties of their vocalizations is essential. We propose a framework for automatic and fine-scale extraction of spatial-spectral-temporal patterns of bird vocalizations in a densely populated environment. For this purpose, we used robot audition techniques to integrate information (i.e., the timing, direction of arrival, and separated sound of localized sources) from multiple microphone arrays (array of arrays) deployed in an environment, which is non-invasive. As a proof of concept of this framework, we examined the ability of the method to extract active vocalizations of multiple Zebra Finches in an outdoor mesh tent as a realistic situation in which they could fly and vocalize freely. We found that localization results of vocalizations reflected the arrangements of landmark spots in the environment such as nests or perches and some vocalizations were localized at non-landmark positions. We also classified their vocalizations as either songs or calls by using a simple method based on the tempo and length of the separated sounds, as an example of the use of the information obtained from the framework. Our proposed approach has great potential to understand their social interactions and the semantics or functions of their vocalizations considering the spatial relationships, although detailed understanding of the interaction would require analysis of more long-term recordings.

DOI： 10.3390/birds2020012

性選択に基づく複雑な形質の創発に関する生成 AI と進化計算の融合モデル

池田智裕, 鈴木麗璽, 有田隆也

情報処理学会第83回全国大会論文集 Vol. 1 page： 189 - 190 2021.3

鳥類の鳴き声観測に対するロボット聴覚アプローチ

鈴木麗璽, 炭谷晋司, 松林志保, 有田隆也, 中臺一博, 奥乃博

日本生態学会第68回大会講演要旨集 Vol. P2-061 page： 1 - 1 2021.3

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Papers - SUZUKI, Reiji