Publication | Closed Access
Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task
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2010
Year
EngineeringNeural Networks (Machine Learning)Field RoboticsCognitive RoboticsMotor ControlModulatory FactorsSocial SciencesNeural MechanismGasnet EvolvabilityRobotics TaskSystems EngineeringRobot LearningPerception SystemRobotics PerceptionSensorimotor ControlCognitive ScienceVision RoboticsNeural Networks (Computational Neuroscience)Visual FunctionAbstract SpatialEvolving Neural NetworkEvolutionary RoboticsComputational NeuroscienceEye TrackingNeuronal NetworkNeuroscienceBrain-like ComputingModulatory ConstraintsRobotics
Abstract Spatial, temporal, and modulatory factors affecting the evolvability of GasNets — a style of artificial neural network incorporating an analogue of volume signalling — are investigated. The focus of the article is a comparative study of variants of the GasNet, implementing various spatial, temporal, and modulatory constraints, used as control systems in an evolutionary robotics task involving visual discrimination. The results of the study are discussed in the context of related research. © 2010Wiley Periodicals, Inc. Complexity 16: 35–44, 2010
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