The effect of learning on life history evolution

By John A. Bullinaria. 2007

5 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Experimental and Cognitive Psychology, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. Sebastian Risi
2. Kenneth O. Stanley
3. Andrea Soltoggio

In Experimental and Cognitive Psychology

1. Sebastian Risi
2. Kenneth O. Stanley
3. Andrea Soltoggio

In Sociology and Political Science

1. Sebastian Risi
2. Kenneth O. Stanley
3. Andrea Soltoggio
4. Jeff Clune
5. Joel Lehman
6. Jean-Baptiste Mouret
7. Paul Tonelli

Citations in the corpus

• Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “It is also important to note that EPANN do not have the neurophysiological constraints of biological systems, e.g., short neural connections, sparsity, brain size limits, etc., which impacts the evolution of particular architectures such as modularity (Bullinaria, 2007b, 2009a).”
• Lifetime Learning as a Factor in Life History Evolution (2009, unknown): “Preliminary versions of many of the key ideas in this article were first presented at the 2007 Neural Computation and Psychology Workshop (NCPW10) [12] and the 2007 Genetic and Evolutionary Computation Conference (GECCO) [ 11 ].”