ArticleMethodsX2020
Training LSTM-neural networks on early warning signals of declining cooperation in simulated repeated public good games.
Article in MethodsX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Identification ofAging · 2024Article
- Article
- Early warning signals from the periphery: A model suggestion for the study of critical transitions.Journal of computational social science · 2022Article
- Article
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Authors and funding
4 authors.
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Abstract
We present results of attempts to expand and enhance the predictive power of Early Warning Signals (EWS) for Critical Transitions (Scheffer et al. 2009) through the deployment of a Long-Short-Term-Memory (LSTM) Neural Network on agent-based simulations of a Repeated Public Good Game, which due to positive feedbacks on experience and social entrainment transits abruptly from majority cooperation to majority defection and back. Our method extension is inspired by several known deficiencies of EWS and by lacking possibilities to consider micro-level interaction in the so far primarily used simulation methods. We find that•
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