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ゲーム理論に基づいた複雑ネットワーク形成のモデル化
https://doi.org/10.15029/00000566
https://doi.org/10.15029/00000566e0815e80-3948-4a8a-9937-b06dc7bef5e2
名前 / ファイル | ライセンス | アクション |
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r21-1-m2.pdf (3.2 MB)
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TUIS
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Item type | [ELS]紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2017-11-14 | |||||
タイトル | ||||||
言語 | ja | |||||
タイトル | ゲーム理論に基づいた複雑ネットワーク形成のモデル化 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Modeling of Complex Network Formation Based on Game Theory | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | 複雑ネットワーク, ネットワーク形成ゲーム, 戦略的ネットワーク形成, ネットワークダイナミクス, コンピュータシミュレーション Complex network, Network formation game, Strategic network formation, Network dynamics, Computer simulation |
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資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
ID登録 | ||||||
ID登録 | 10.15029/00000566 | |||||
ID登録タイプ | JaLC | |||||
雑誌書誌ID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11155514 | |||||
ページ属性 | ||||||
内容記述タイプ | Other | |||||
内容記述 | P | |||||
著者 |
今井, 哲郎
× 今井, 哲郎× 田中, 敦× 吉澤, 康介× 三宅, 修平× Imai, Tetsuo× Tanaka, Atsusi× Yoshizawa, Kousuke× Miyake, Shuhei |
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著者所属(日) | ||||||
ja | ||||||
東京情報大学看護学部遠隔看護実践研究センター | ||||||
著者所属(日) | ||||||
ja | ||||||
山形大学大学院理工学研究科 | ||||||
著者所属(日) | ||||||
ja | ||||||
東京情報大学総合情報学部 | ||||||
著者所属(英) | ||||||
en | ||||||
Telenursing Reserch Center,Faculty of Nursing, Tokyo University of Infoemation Science, | ||||||
著者所属(英) | ||||||
en | ||||||
Graduate School of the Science and Engineering,Yamagata University,/ Faculty of Informatics,Tokyo University of Information Sciences | ||||||
抄録(日) | ||||||
内容記述タイプ | Other | |||||
内容記述 | 情報通信や社会学,生物学など多様な分野において,要素とその要素間の関係で構成されるネッ トワーク構造(トポロジ)が複雑ネットワークと呼ばれる特性を持っていることが明らかになって きている.多数の主体が自己組織的に複雑ネットワークを形成する原理を,構成主体の個人合理性 に落とし込むことで明らかにするために,我々はこれまでにゲーム理論に基づいた複雑ネットワー ク形成のモデル化を行い,その特性について分析してきた.本稿では,これまでの研究成果を概観 し,今後の展望について述べる. | |||||
言語 | ja | |||||
抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | In various fields such as communication technology, sociology, and biology, it has been revealed that network structure( topology) composed of elements and relationships of the elements has property of the complex networks. By the concept of individual rationality, in order to reveal why numerous individuals tend to self-organize complex networks, we have modeled complex networks formation based on game theory and analyzed their properties. In this paper, an overview of the research results and prospects are described. | |||||
言語 | en | |||||
書誌情報 |
ja : 東京情報大学研究論集 巻 21, 号 1, p. 15-30, 発行日 2017-09-30 |
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表示順 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 2 | |||||
出版者 | ||||||
言語 | ja | |||||
出版者 | 東京情報大学 |