. . "Artificial Neural Networks - ICANN 2009 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II" . "978-3-642-04276-8" . . . . "RIV/68407700:21230/09:00158898!RIV10-MSM-21230___" . . "2009-09-14+02:00"^^ . "307552" . "3"^^ . "\u0160norek, Miroslav" . . "3"^^ . "RIV/68407700:21230/09:00158898" . "Z(MSM6840770012)" . "In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The controller is obtained through evolution of hypercube encoded weights of recurrent neural networks (HyperNEAT). The simulated agent's goal is to find a target in a shortest time interval. The generated neural network processes three different inputs - surface quality, obstacles and distance to the target. A behavior emerged in agents features ability of driving on roads, obstacle avoidance and provides an efficient way of the target search." . . . . . "Combining Multiple Inputs in HyperNEAT Mobile Agent Controller" . "0302-9743" . . . "21230" . "Koutn\u00EDk, Jan" . . . . . "[DF06C3BCE666]" . "Combining Multiple Inputs in HyperNEAT Mobile Agent Controller"@en . "Combining Multiple Inputs in HyperNEAT Mobile Agent Controller"@en . "Springer-Verlag" . "Berlin" . "In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The controller is obtained through evolution of hypercube encoded weights of recurrent neural networks (HyperNEAT). The simulated agent's goal is to find a target in a shortest time interval. The generated neural network processes three different inputs - surface quality, obstacles and distance to the target. A behavior emerged in agents features ability of driving on roads, obstacle avoidance and provides an efficient way of the target search."@en . "Combining Multiple Inputs in HyperNEAT Mobile Agent Controller" . "Limassol" . . "Drchal, Jan" . "HyperNEAT; neural networks; simulated robots"@en . "9"^^ .