A neural network model for the evolution of learning in changing environments.

Abstract excerpt

Learning from past experience is an important adaptation and theoretical models may help to understand its evolution. Many of the existing models study simple phenotypes and do not consider the mechanisms underlying learning while the more complex neural network models often make biologically unrealistic assumptions and rarely consider evolutionary questions. Here, we present a novel way of modelling learning...

Topics

• Biological Evolution
• Neural Networks, Computer
• Phenotype
• Algorithms
• Models, Biological