Presentation 2021-02-12
Effectiveness of Strategy of Cancelling Stay-at-home Orders on the Number of COVID-19 Infectors and Outgoing People
Yuto Omae, Yohei Kakimoto, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
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Paper # AI2020-22
Date of Issue 2021-02-05 (AI)

Conference Information
Committee AI
Conference Date 2021/2/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
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Topics (in English)
Chair Naoki Fukuta(Shizuoka Univ.)
Vice Chair Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST)
Secretary Yuichi Sei(Nagoya Inst. of Tech.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology)
Assistant

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effectiveness of Strategy of Cancelling Stay-at-home Orders on the Number of COVID-19 Infectors and Outgoing People
Sub Title (in English) Strategies Verification based on Multi-agent simulation
Keyword(1)
Keyword(2)
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Keyword(4)
1st Author's Name Yuto Omae
1st Author's Affiliation Nihon University(NU)
2nd Author's Name Yohei Kakimoto
2nd Author's Affiliation Hosei University(HU)
3rd Author's Name Jun Toyotani
3rd Author's Affiliation Nihon University(NU)
4th Author's Name Kazuyuki Hara
4th Author's Affiliation Nihon University(NU)
5th Author's Name Yasuhiro Gon
5th Author's Affiliation Nihon University(NU)
6th Author's Name Hirotaka Takahashi
6th Author's Affiliation Tokyo City University(TCU)
Date 2021-02-12
Paper # AI2020-22
Volume (vol) vol.120
Number (no) AI-362
Page pp.pp.1-6(AI),
#Pages 6
Date of Issue 2021-02-05 (AI)