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  • 2023

    Surrogate Modeling of Agent-Based Airport Terminal Operations

    De Leeuw, B., Mohammadi Ziabari, S. S. & Sharpanskykh, A., 2023, Multi-Agent-Based Simulation XXIII - 23rd International Workshop, MABS 2022, Revised Selected Papers. Lorig, F. & Norling, E. (eds.). Springer, p. 82–94 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13743 LNAI).

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  • 2022

    Using Causal Discovery to Design Agent-based Models

    Janssen, S. A. M., Sharpanskykh, A. & Mohammadi Ziabari, S. S., 2022, Multi-Agent-Based Simulation. Van Dam, K. H. & Verstaevel, N. (eds.). Vol. XXII. p. 15-28 14 p. ( Lecture Notes in Computer Science; vol. 13128).

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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  • 2013

    Abstraction of social contagion models with dynamic networks

    Sharpans'kykh, OA., 2013, Computational Collective Intelligence. Technologies and Applications Lectore Notes in Computer Science. Badica, C., Thanh Nguyen, N. & Brezovan, M. (eds.). Berlin Heidelberg: Springer, p. 51-61 740 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

  • Agent-based modelling of social emotional decision making in emergency situations

    Bosse, T., Hoogendoorn, M., Klein, M., Sharpanskykh, A., Treur, J., van der Wal, J. & van Wissen, N., 2013, Co-evolution of Intelligent Socio-technical Systems Understanding Complex Systems. Mitleton-Kelly, E. (ed.). Berlin Heidelberg: Springer, p. 79-117 293 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

    5 Citations (Scopus)