Collective decision-making in living and artificial systems: editorial
Author:
Funder
Fonds De La Recherche Scientifique - FNRS
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s11721-021-00195-5.pdf
Reference37 articles.
1. Altafini, C. (2013). Consensus problems on networks with antagonistic interactions. IEEE Transactions on Automatic Control, 58(4), 935–946. https://doi.org/10.1109/TAC.2012.2224251.
2. Bizyaeva, A., Franci, A., & Leonard, N. E. (2020). A general model of opinion dynamics with tunable sensitivity. arXiv, math.OC(2009.04332).
3. Bogacz, R., Brown, E., Moehlis, J., Holmes, P., & Cohen, J. D. (2006). The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review, 113(4), 700–765. https://doi.org/10.1037/0033-295X.113.4.700.
4. Bose, T., Reina, A., & Marshall, J. A. R. (2017). Collective decision-making. Current Opinion in Behavioral Sciences, 6, 30–34. https://doi.org/10.1016/j.cobeha.2017.03.004.
5. Bose, T., Reina, A., & Marshall, J. A. R. (2019). Inhibition and excitation shape activity selection: effect of oscillations in a decision-making circuit. Neural Computation, 31(5), 870–896. https://doi.org/10.1162/neco_a_01185.
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