Computational History: Challenges and Opportunities of Formal Approaches

Jost, Jürgen; Lalli, Roberto; Laubichler, Manfred Dietrich; Olbrich, Eckehard; Renn, Jürgen; Restrepo, Guillermo; Stadler, Peter; Wintergrün, Dirk

doi:10.23919/JSC.2023.0017

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学術論文

Computational History: Challenges and Opportunities of Formal Approaches

MPS-Authors

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Lalli, Roberto
Department Structural Changes in Systems of Knowledge, Max Planck Institute for the History of Science, Max Planck Society;

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Laubichler, Manfred Dietrich
Department Structural Changes in Systems of Knowledge, Max Planck Institute for the History of Science, Max Planck Society;

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Renn, Jürgen
Department Structural Changes in Systems of Knowledge, Max Planck Institute for the History of Science, Max Planck Society;

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Wintergrün, Dirk
Department Structural Changes in Systems of Knowledge, Max Planck Institute for the History of Science, Max Planck Society;

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引用

Jost, J., Lalli, R., Laubichler, M. D., Olbrich, E., Renn, J., Restrepo, G., Stadler, P., & Wintergrün, D. (2023). Computational History: Challenges and Opportunities of Formal Approaches. Journal of Social Computing, 4(3), 232-242. doi:10.23919/JSC.2023.0017.

引用: https://hdl.handle.net/21.11116/0000-000E-6865-C

要旨

We propose a program for a computational analysis, based on large scale datasets, of deep
conceptual and formal structures, representing the mechanisms of historical transformations in different domains ranging from biological to social, cultural, and knowledge systems. We conceptualize such systems as consisting of complex multi-layer networks. Structural properties of such networks may explain the
spreading of innovations. Temporal relations between the dynamics of interacting networks may help to identify causalities. Complex systems may show path and context dependencies. We illustrate our approach by case studies from all those types of systems.