Training LSTM-neural networks on early warning signals of declining cooperation in simulated repeated public good games

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 po...

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Detalles Bibliográficos
Autores principales: Füllsack, Manfred, Kapeller, Marie, Plakolb, Simon, Jäger, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264060/
https://www.ncbi.nlm.nih.gov/pubmed/32509538
http://dx.doi.org/10.1016/j.mex.2020.100920

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264060/
https://www.ncbi.nlm.nih.gov/pubmed/32509538
http://dx.doi.org/10.1016/j.mex.2020.100920

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