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Company Simulations With Limited / / / Facility University of Birmingham Edgbaston / / IndustryTerm food location information / food items / internal-energy sensory inputs / buried food-item / placed food items / internal-energy / food-items / multi-layer networks / genetic algorithm / nearest food item / internal energy levels / consumed food-items / distinct search policies / normalized energy level / food-item / gradient descent algorithm / food location input / internal energy / neural networks / perceptron networks / distributed food items / search policy / non-learning fixed networks / evolutionary algorithm / fixed-network / steady state genetic algorithm / buried food / given food-item / internal-energy sensory input / buried food-items / supervised learning algorithms / feed-forward network / nearest food-item / fixed evolved networks / auto-teaching networks / learning rate auto-teaching networks / consume/bury food / food / energy / / Organization University of Birmingham Edgbaston / Birmingham / NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES EDWARD ROBINSON & JOHN A. BULLINARIA School of Computer Science / / Position simple perceptron controller / / Technology neural network / steady state genetic algorithm / evolutionary algorithm / supervised learning algorithms / genetic algorithm / gradient descent algorithm / simulation / genotype / recombination / / SocialTag 
NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES EDWARD ROBINSON & JOHN A. BULLINARIA School of Computer Science, University of Birmingham Edgbaston, Birmingham, B15 2TT, UK [removed]