An Investigation of Graceful Degradation in Boolean Network Robots Subject to Online Adaptation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57430-6_16
Reference24 articles.
1. Baldini, P., Braccini, M., Roli, A.: Online adaptation of robots controlled by nanowire networks: a preliminary study. In: De Stefano, C., Fontanella, F., Vanneschi, L. (eds.) WIVACE 2022. CCIS, vol. 1780, pp. 171–182. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-31183-3_14
2. Benedettini, S., et al.: Dynamical regimes and learning properties of evolved Boolean networks. Neurocomputing 99, 111–123 (2013)
3. Bonani, M., et al.: The marXbot, a miniature mobile robot opening new perspectives for the collective-robotic research. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 18–22 October 2010. IEEE (2010)
4. Bongard, J., Zykov, V., Lipson, H.: Resilient machines through continuous self-modeling. Science 314(5802), 1118–1121 (2006)
5. Braccini, M., Roli, A., Barbieri, E., Kauffman, S.: On the criticality of adaptive Boolean network robots. Entropy 24, 1368 (2022)
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