Artificial Evolution of Plastic Neural Networks: A Few Key Concepts
By Jean-Baptiste Mouret, Paul Tonelli. 2014
33 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sebastian Risi
- Andrea Soltoggio
- Kenneth O. Stanley
- Fernando Silva
- Anders Lyhne Christensen
- Paulo Urbano
- Jeff Clune
- Joel Lehman
In Cognitive Neuroscience
- Sebastian Risi
- Kenneth O. Stanley
- Andrea Soltoggio
- Fernando Silva
- Paulo Urbano
- Anders Lyhne Christensen
- Jeff Clune
- Jean-Baptiste Mouret
In Electrical and Electronic Engineering
- Sebastian Risi
- Andrea Soltoggio
- Kenneth O. Stanley
- Fernando Silva
- Anders Lyhne Christensen
- Paulo Urbano
- Jeff Clune
- Jean-Baptiste Mouret
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Mouret and Tonelli (2014) propose the distinction between the evolution of behavioral switches and the evolution of synaptic general learning abilities, and suggest conditions that favor these types of learning.”
- Spectrum-Diverse Neuroevolution With Unified Neural Models (2017, unknown): “There are homosynaptic and heterosynaptic mechanisms [32].”
- Evolving Plastic Neural Networks for Online Learning: Review and Future Directions (2012, unknown): “These latter two definitions are very similar to terms defined by Mouret and Tonelli [19]: an agent is said to possess behavioural robustness, which is akin to online adaptation, when it can maintain the same qualitative behaviour despite environmental or morphological changes; and an agent is said ”
- Adaptation of Robot Behaviour through Online Evolution and Neuromodulated Learning (2012, result): “4 These terms are in accordance with those defined in [17].”