佐山　弘樹 (サヤマ　ヒロキ)

写真a

所属

商学学術院 商学部

職名

教授（任期付）

ホームページ

http://bingweb.binghamton.edu/~sayama/

プロフィール

Please see below for his full CV:
http://bingweb.binghamton.edu/~sayama/cv.pdf
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学歴 【 表示 ／ 非表示 】

  • 1994年04月
    -
    1999年03月

    東京大学   理学系研究科   情報科学専攻  

  • 1990年04月
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    1994年03月

    東京大学   理学部   情報科学科  

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学位 【 表示 ／ 非表示 】

  • 東京大学   学士（理学）

  • 東京大学   修士（理学）

  • 東京大学   博士(理学）

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経歴 【 表示 ／ 非表示 】

  • 2018年04月
    -
    継続中

    早稲田大学   商学部   教授

  • 2017年09月
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    継続中

    ニューヨーク州立大学ビンガムトン校   教授

  • 2012年01月
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    2017年08月

    ニューヨーク州立大学ビンガムトン校   准教授

  • 2006年01月
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    2011年12月

    ニューヨーク州立大学ビンガムトン校   助教授

  • 2004年04月
    -
    2005年12月

    電気通信大学   人間コミュニケーション学科   助教授

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所属学協会 【 表示 ／ 非表示 】

  • 　
    　
    　

    American Association for the Advancement of Science

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    IEEE Systems, Man, & Cybernetics Society

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    IEEE Computational Intelligence Society

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    IEEE

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    Network Science Society

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研究分野 【 表示 ／ 非表示 】

  • 計算科学

  • 数理情報学

  • 知能情報学

  • ウェブ情報学、サービス情報学

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研究キーワード 【 表示 ／ 非表示 】

  • systems science

  • adaptive networks

  • social networks

  • social systems

  • interactive systems

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論文 【 表示 ／ 非表示 】

  • Detecting Dynamic States of Temporal Networks Using Connection Series Tensors

    Shun Cao, Hiroki Sayama, Pietro De Lellis

    Complexity   abs/2007.12756  2020年12月

    DOI

  • Mathematically Modeling Anhedonia in Schizophrenia: A Stochastic Dynamical Systems Approach

    Gregory P Strauss, Farnaz Zamani Esfahlani, Eric Granholm, Jason Holden, Katherine Frost Visser, Lisa A Bartolomeo, Hiroki Sayama

    Schizophrenia Bulletin   43   S99 - S99  2020年09月  [査読有り]  [国際誌]

    　概要を見る

    OBJECTIVE: Anhedonia, traditionally defined as a diminished capacity for pleasure, is a core symptom of schizophrenia (SZ). However, modern empirical evidence indicates that hedonic capacity may be intact in SZ and anhedonia may be better conceptualized as an abnormality in the temporal dynamics of emotion. METHOD: To test this theory, the current study used ecological momentary assessment (EMA) to examine whether abnormalities in one aspect of the temporal dynamics of emotion, sustained reward responsiveness, were associated with anhedonia. Two experiments were conducted in outpatients diagnosed with SZ (n = 28; n = 102) and healthy controls (n = 28; n = 71) who completed EMA reports of emotional experience at multiple time points in the day over the course of several days. Markov chain analyses were applied to the EMA data to evaluate stochastic dynamic changes in emotional states to determine processes underlying failures in sustained reward responsiveness. RESULTS: In both studies, Markov models indicated that SZ had deficits in the ability to sustain positive emotion over time, which resulted from failures in augmentation (ie, the ability to maintain or increase the intensity of positive emotion from time t to t+1) and diminution (ie, when emotions at time t+1 are opposite in valence from emotions at time t, resulting in a decrease in the intensity of positive emotion over time). Furthermore, in both studies, augmentation deficits were associated with anhedonia. CONCLUSIONS: These computational findings clarify how abnormalities in the temporal dynamics of emotion contribute to anhedonia.

    DOI PubMed

  • Simulating Systems Thinking under Bounded Rationality

    Mark W. Sellers, Hiroki Sayama, Andreas D. Pape

    Complexity   2020   3469263 - 12  2020年09月

    DOI

  • The Role of Criticality of Gene Regulatory Networks in Morphogenesis

    Hyobin Kim, Hiroki Sayama

    IEEE Transactions on Cognitive and Developmental Systems   12 ( 3 ) 390 - 400  2020年09月

    DOI

  • Network Analysis Indicates That Avolition Is the Most Central Domain for the Successful Treatment of Negative Symptoms: Evidence From the Roluperidone Randomized Clinical Trial

    Gregory P Strauss, Farnaz Zamani Esfahlani, Hiroki Sayama, Brian Kirkpatrick, Mark G Opler, Jay B Saoud, Michael Davidson, Remy Luthringer

    Schizophrenia Bulletin   46 ( 4 ) 964 - 970  2020年07月  [国際誌]

    　概要を見る

    A recent conceptual development in schizophrenia is to view its manifestations as interactive networks rather than individual symptoms. Negative symptoms, which are associated with poor functional outcome and reduced rates of recovery, represent a critical need in schizophrenia therapeutics. MIN101 (roluperidone), a compound in development, demonstrated efficacy in the treatment of negative symptoms in schizophrenia. However, it is unclear how the drug achieved its effect from a network perspective. The current study evaluated the efficacy of roluperidone from a network perspective. In this randomized clinical trial, participants with schizophrenia and moderate to severe negative symptoms were randomly assigned to roluperidone 32 mg (n = 78), 64 mg (n = 83), or placebo (N = 83). Macroscopic network properties were evaluated to determine whether roluperidone altered the overall density of the interconnections among symptoms. Microscopic properties were evaluated to examine which individual symptoms were most influential (ie, interconnected) on other symptoms in the network and are responsible for successful treatment effects. Participants receiving roluperidone did not differ from those randomized to placebo on macroscopic properties. However, microscopic properties (degree and closeness centrality) indicated that avolition was highly central in patients receiving placebo and that roluperidone reduced this level of centrality. These findings suggest that decoupling the influence of motivational processes from other negative symptom domains is essential for producing global improvements. The search for pathophysiological mechanisms and targeted treatment development should be focused on avolition, with the expectation of improvement in the entire constellation of negative symptoms if avolition is effectively treated.

    DOI PubMed

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Misc 【 表示 ／ 非表示 】

  • Visualizing Evolutionary Dynamics of Self-Replicators: A Graph-Based Approach.

    Chris Salzberg, Antony Antony, Hiroki Sayama

    Artif. Life   12 ( 3 ) 457 - 457  2006年

    DOI

  • BisNet: Webブラウザのブックマーク機能を利用した情報共有システム

    人工知能学会論文誌   20 ( 4 ) in press  2005年03月

    DOI

  • Autonomous URI sharing over networks of bookmark directories achieved by analyzing local network topologies

    ネットワーク生態学シンポジウム予稿集，情報処理学会ネットワーク生態学研究会     in press  2005年03月

  • Autonomous URI sharing over networks of bookmark directories achieved by analyzing local network topologies

    Network Ecology Symposium, IPSJ SIG-Network Ecology     in press  2005年03月

  • BisNet: An information sharing system using bookmarks of web browsers

    Koji Sano, Hiroki Sayama

    Transactions of the Japanese Society for Artificial Intelligence   20 ( 4 ) 281 - 288  2005年

    　概要を見る

    We propose a new information sharing system, named "BisNet", which automatically gathers information about the bookmarks stored in users' web browsers and helps the users exchange URIs of possibly interesting web pages with others who have similar interest with them. Being different from other typical agent services that gather and provide information according to pre-registered user profiles, BisNet is expected to share more relevant information because of its use of web browser bookmarks that are actively selected and ordered by many humans. To enhance the relevance of information being shared, we developed a novel algorithm for directory evaluation. This algorithm only looks at the local referential structure between bookmark directories and URIs and calculates for each directory the "order index" that represents how well its content URIs are put in order with a focus on specific areas of interest. Then each directory receives new URIs from other related directories with large order indexes. The repetition of such URI exchanges makes the whole directory-URI networks dynamically form directory groups according to the commonness of the URIs they refer to. Our method is unique in that it pays no attention to the actual contents of web pages, and thus is much simpler and faster than other methods based on the result of content analysis. We carried out a field trial that involved 45 people who used a prototype version of BisNet clients. The result indicated that the relevance of shared URIs positively correlated with the "order index" of surrounding related directories, demonstrating the effectiveness of the method we proposed.

    DOI

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受賞 【 表示 ／ 非表示 】

  • ISAL Outstanding Paper of the Decade (2003-2013) Award

    2018年   International Society for Artificial Life   Swarm Chemistry  

    受賞者： SAYAMA Hiroki

  • Best Poster Award

    2017年   The 2017 International School and Conference on Network Science (NetSci 2017)  

    受賞者： SAYAMA Hiroki

  • First Place, 的magining Science category

    2017年   Binghamton University   Visualized for the Blind  

    受賞者： SAYAMA Hiroki

  • ISAL Exceptional Service Award

    2016年   International Society for Artificial Life  

    受賞者： SAYAMA Hiroki

  • Lois B. DeFleur Faculty Prize for Academic Achievement

    2016年   Binghamton University  

    受賞者： SAYAMA Hiroki

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共同研究・競争的資金等の研究課題 【 表示 ／ 非表示 】

  • マルチエージェントシステムが示す局所的・大域的挙動の理論的解析

  • 空間的分布を持ち局所的に交配する個体群における自発的パターン生成とその進化過程の研究

  • 自己複製し進化する人工システムの構築

  • Theoretical Analysis of Local and Global Behaviors of Multi-Agent Systems

  • Emergence and Evolution of Patterns in Spatially Distributed Locally Interacting Populations

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特定課題研究 【 表示 ／ 非表示 】

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現在担当している科目 【 表示 ／ 非表示 】

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