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Econophysics of agent-based models

Author

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  • Frédéric Abergel

    (FiQuant - Chaire de finance quantitative - MICS - Mathématiques et Informatique pour la Complexité et les Systèmes - CentraleSupélec, MAS - Mathématiques Appliquées aux Systèmes - EA 4037 - Ecole Centrale Paris)

  • Anirban Chakraborti

    (FiQuant - Chaire de finance quantitative - MICS - Mathématiques et Informatique pour la Complexité et les Systèmes - CentraleSupélec, MAS - Mathématiques Appliquées aux Systèmes - EA 4037 - Ecole Centrale Paris)

  • Hideaki Aoyama
  • B.K. Chakrabarti
  • Asim Gosh

Abstract

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Suggested Citation

  • Frédéric Abergel & Anirban Chakraborti & Hideaki Aoyama & B.K. Chakrabarti & Asim Gosh, 2014. "Econophysics of agent-based models," Post-Print hal-01006419, HAL.
    • Handle: RePEc:hal:journl:hal-01006419
    DOI: 10.1007/978-3-319-00023-7
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    Cited by:

    1. Khaleque, Abdul & Sen, Parongama, 2014. "Damage spreading transition in an opinion dynamics model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 599-608.
    2. Sanchari Goswami & Anirban Chakraborti, 2014. "Kinetic Exchange Models in Economics and Sociology," Papers 1408.1365, arXiv.org.
    3. Igor Halperin & Ilya Feldshteyn, 2018. "Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy," Papers 1805.06126, arXiv.org.
    4. Kittiwat Tangmongkollert & Sujin Suwanna, 2016. "Modeling of price and profit in coupled-ring networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(6), pages 1-9, June.

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