Genetic Representation and Evolvability of Modular Neural Controllers
By Peter Dürr, Claudio Mattiussi, Dario Floreano. 2010
29 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Mechanical 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
- Jeff Clune
- Larry Bull
- A. Adamatzky
- Gerard David Howard
- B. D. L. Costello
In Mechanical Engineering
- Sebastian Risi
- Andrea Soltoggio
- Larry Bull
- A. Adamatzky
- Gerard David Howard
- Kenneth O. Stanley
- B. D. L. Costello
- Ella M. Gale
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Encouraging modularity (Ellefsen et al., 2015; Durr et al., 2010) or augmenting evolving networks with a dedicated external memory component (Lüders et al.”
- Evolution of Plastic Learning in Spiking Networks via Memristive Connections (2012, background): “Successful applications of neuroevolution range from real-world optimization [54] and classification [55] to control [56], [57].”
- A unified approach to evolving plasticity and neural geometry (2012, methodology): “Unlike in Dürr et al. [9], the ANNs have no special sensors to designate key locations and they also take raw rangefinder input.”