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AIPRF
2007

Instinct and Learning Synergy in Simulated Foraging Using a Neural Network

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Instinct and Learning Synergy in Simulated Foraging Using a Neural Network
Instinct and experience are shown to form a potent combination to achieve effective foraging in a simulated environment. A neural network capable of evolving instinct-related neurons and learning from experience is used as the brain of a simple foraging creature that must find food and water in a 3D block world. Instincts provide basic tactics for unsupervised exploration of the world, allowing pathways to food and water to be learned. The combination of both instinct and experience was found to be more effective than either alone. As a comparison, neural network learning also proved superior to Q-Learning on the foraging task.
Thomas E. Portegys
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where AIPRF
Authors Thomas E. Portegys
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