Learning and evolution in neural networks
Adaptive Behavior
Adaptive Behavior
Learning to Predict by the Methods of Temporal Differences
Machine Learning
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We describe some simple simulations showing two possible adaptive advantages of the ability to predict the consequences of one's actions: predicted inputs can replace missing inputs and predicted success vs failure can help deciding whether to actually executing a planned action or not The neural networks controlling the organisms' behaviour include distinct modules whose connection weights are all genetically inherited and evolved using a genetic algorithm except those of the predictive module which are learned during life.