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システム/制御/情報 Vol. 23 (2010), No. 10

ISIJ International
belloff
オンライン版ISSN: 2185-811X
冊子版ISSN: 1342-5668
発行機関: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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  1. Vol. 37 (2024)

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  2. Vol. 36 (2023)

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  4. Vol. 34 (2021)

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  5. Vol. 33 (2020)

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  6. Vol. 32 (2019)

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  7. Vol. 31 (2018)

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  8. Vol. 30 (2017)

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  9. Vol. 29 (2016)

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  10. Vol. 28 (2015)

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  11. Vol. 27 (2014)

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  12. Vol. 26 (2013)

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  13. Vol. 25 (2012)

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  14. Vol. 24 (2011)

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  15. Vol. 23 (2010)

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  16. Vol. 22 (2009)

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  17. Vol. 21 (2008)

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  18. Vol. 20 (2007)

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  19. Vol. 19 (2006)

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  20. Vol. 18 (2005)

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  21. Vol. 17 (2004)

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  22. Vol. 16 (2003)

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  23. Vol. 15 (2002)

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  24. Vol. 14 (2001)

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  25. Vol. 13 (2000)

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  26. Vol. 12 (1999)

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  27. Vol. 11 (1998)

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  28. Vol. 10 (1997)

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  29. Vol. 9 (1996)

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  30. Vol. 8 (1995)

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  31. Vol. 7 (1994)

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  32. Vol. 6 (1993)

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  33. Vol. 5 (1992)

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  34. Vol. 4 (1991)

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  35. Vol. 3 (1990)

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  36. Vol. 2 (1989)

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  37. Vol. 1 (1988)

    1. No.7
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    3. No.5
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    5. No.3
    6. No.2
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キーワードランキング

23 Nov. (Last 30 Days)

システム/制御/情報 Vol. 23 (2010), No. 10

リスク下の選択に対するマルチエージェント・シミュレーション

西﨑 一郎, 林田 智弘

pp. 227-235

DOI:

10.5687/iscie.23.227

抄録

In this paper, we develop a simulation system with artificial autonomous adaptive agents selecting one out of a given pair of binary lotteries which are represented by probability distributions over two outcomes. Agent’s decisions are made by a learning classifier system, and after classifying information of a given pair of binary lotteries, an agent chooses one out of them. The condition part of a classifier consists of conditions identifying probabilities and payoffs of a pair of binary lotteries and conditions identifying characteristics of the lotteries known by several models describing behavioral regularities of choices under risk. We compare the result of the simulation with that of the experiment by Selten et al. (1999), and demonstrating the similarity between them, we consider a mechanism of human choices under risk. Finally, we examine the possibility of controlling a subject’s preference with respect to risky events by the lottery ticket procedure.

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リスク下の選択に対するマルチエージェント・シミュレーション

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Ris

Particle Swarm Optimizationに基づく周波数領域におけるシステム同定

和田 尭, 杉江 俊治

pp. 236-242

DOI:

10.5687/iscie.23.236

抄録

The paper proposes a frequency domain identification method for linear continuous-time systems including delay ones. The model parameters are estimated by minimizing the cost functions which are appropriate for open/closed loop. The minimization is achieved through Particle Swarm Optimization, which attracts a lot of attention recently in the evolutionary computation area due to its empirical evidence of its superiority. Its effectiveness is demonstrated by numerical examples. In addition, a comparison with the existing optimization method is given to show the robustness of the proposed method. Furthermore, an experimental evaluation using a magnetic levitation system is performed.

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Particle Swarm Optimizationに基づく周波数領域におけるシステム同定

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Ris

ネットワーク化制御に関連した安定化問題の漸近的性質についての考察

平田 健太郎

pp. 243-245

DOI:

10.5687/iscie.23.243
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ネットワーク化制御に関連した安定化問題の漸近的性質についての考察

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離散時間系の感度および相補感度低減化問題における性能限界の関係について

伊藤 義道, 白濱 洋史

pp. 246-248

DOI:

10.5687/iscie.23.246
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離散時間系の感度および相補感度低減化問題における性能限界の関係について

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