Learning and relearning in Boltzmann machines
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Learning and evolution in neural networks
Adaptive Behavior
Artificial Life
Autonomous Robots
Evolution of Neural Controllers with Adaptive Synapses and Compact Genetic Encoding
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Advances in evolutionary computing
Multi-phase sumo maneuver learning
Robotica
The influence of learning on evolution: A mathematical framework
Artificial Life
Valency for adaptive homeostatic agents: relating evolution and learning
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
| Hi-index | 0.00 |
For 100 years it has been recognized that interactions between learning and evolution, such as the Baldwin effect, can be subtle and often counterintuitive. Recently a new effect has been discussed: It is suggested that evolutionary progress toward one specific goal may be assisted by lifetime learning on a different task that may or may not be “uncorrelated.” The phenomenon is reproduced here in a simple scenario, where the tasks are indeed uncorrelated---'Another New Factor' does indeed exist. The effect is then explained as being due to recovery from weight perturbations caused by mutation in a neural network. It is a special case of a recently discovered relearning effect: the spontaneous recovery of perturbed associations by learning uncorrelated tasks.