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- W2186722332 abstract "An agent controlled by a single computational neuron is used to solve maze problems. The neuron has activity and timedependent computational and topological structure. The behaviour of a neuron is controlled by a collection of seven evolved programs that are loosely analogous to aspects of biological neuron (dendrites, soma, axons, synapses, electrical and developmental behaviour). The programs are represented using Cartesian Genetic Programming. Our aim is to show that it is possible to evolve programs that develop a single neuron so that it is able to learn how to solve maze problems purely by experience." @default.
- W2186722332 created "2016-06-24" @default.
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- W2186722332 date "2010-01-01" @default.
- W2186722332 modified "2023-09-23" @default.
- W2186722332 title "Solving Mazes using an Artificial Developmental Neuron" @default.
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