An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networks.
Xianghong LinFanqi ShenKun LiuPublished in: ICIC (1) (2017)
Keyphrases
- autonomous agents
- evolutionary algorithm
- spiking neural networks
- biologically inspired
- learning rules
- evolutionary computation
- spiking neurons
- multi agent systems
- dynamic environments
- artificial neural networks
- incomplete information
- feed forward
- multiagent systems
- differential evolution
- biologically plausible
- multi agent
- intelligent behavior
- distributed control
- genetic algorithm
- motor control
- neural network
- heterogeneous agents
- training algorithm
- machine learning
- radial basis function
- open systems
- biological systems
- support vector
- training data