func (pt *PopulationTrainer) generateOffspring(population []EvaluatedCortex) (withOffspring []EvaluatedCortex) {
withOffspring = make([]EvaluatedCortex, 0)
withOffspring = append(withOffspring, population...)
for _, evaldCortex := range population {
cortex := evaldCortex.Cortex
offspringCortex := cortex.Copy()
offspringNodeIdStr := fmt.Sprintf("cortex-%s", ng.NewUuid())
offspringCortex.NodeId = ng.NewCortexId(offspringNodeIdStr)
succeeded, _ := pt.CortexMutator(offspringCortex)
if !succeeded {
logg.LogPanic("Unable to mutate cortex: %v", offspringCortex)
}
evaldCortexOffspring := EvaluatedCortex{
Cortex: offspringCortex,
ParentId: cortex.NodeId.UUID,
CreatedInGeneration: pt.CurrentGeneration,
Fitness: 0.0,
}
withOffspring = append(withOffspring, evaldCortexOffspring)
}
return
}
func SingleNeuronCortex(uuid string) *ng.Cortex {
sensor := &ng.Sensor{
NodeId: ng.NewSensorId("sensor", 0.0),
VectorLength: 1,
}
sensor.Init()
neuron := &ng.Neuron{
ActivationFunction: ng.EncodableIdentity(),
NodeId: ng.NewNeuronId("neuron", 0.15),
Bias: 1,
}
neuron.Init()
actuator := &ng.Actuator{
NodeId: ng.NewActuatorId("actuator", 0.5),
VectorLength: 1,
}
actuator.Init()
sensor.ConnectOutbound(neuron)
neuron.ConnectInboundWeighted(sensor, []float64{1})
neuron.ConnectOutbound(actuator)
actuator.ConnectInbound(neuron)
nodeId := ng.NewCortexId(uuid)
cortex := &ng.Cortex{
NodeId: nodeId,
}
cortex.SetSensors([]*ng.Sensor{sensor})
cortex.SetNeurons([]*ng.Neuron{neuron})
cortex.SetActuators([]*ng.Actuator{actuator})
return cortex
}
func BasicCortex() *ng.Cortex {
sensor := &ng.Sensor{
NodeId: ng.NewSensorId("sensor", 0.0),
VectorLength: 2,
}
sensor.Init()
hiddenNeuron1 := &ng.Neuron{
ActivationFunction: ng.EncodableSigmoid(),
NodeId: ng.NewNeuronId("hidden-neuron1", 0.15),
Bias: -30,
}
hiddenNeuron1.Init()
hiddenNeuron2 := &ng.Neuron{
ActivationFunction: ng.EncodableSigmoid(),
NodeId: ng.NewNeuronId("hidden-neuron2", 0.25),
Bias: 10,
}
hiddenNeuron2.Init()
hiddenNeuron3 := &ng.Neuron{
ActivationFunction: ng.EncodableSigmoid(),
NodeId: ng.NewNeuronId("hidden-neuron3", 0.35),
Bias: 10,
}
hiddenNeuron3.Init()
outputNeuron := &ng.Neuron{
ActivationFunction: ng.EncodableSigmoid(),
NodeId: ng.NewNeuronId("output-neuron", 0.45),
Bias: -10,
}
outputNeuron.Init()
actuator := &ng.Actuator{
NodeId: ng.NewActuatorId("actuator", 0.5),
VectorLength: 1,
}
actuator.Init()
sensor.ConnectOutbound(hiddenNeuron1)
hiddenNeuron1.ConnectInboundWeighted(sensor, []float64{20, 20})
hiddenNeuron1.ConnectOutbound(hiddenNeuron2)
hiddenNeuron2.ConnectInboundWeighted(hiddenNeuron1, []float64{1})
hiddenNeuron2.ConnectOutbound(hiddenNeuron3)
hiddenNeuron3.ConnectInboundWeighted(hiddenNeuron2, []float64{1})
hiddenNeuron3.ConnectOutbound(outputNeuron)
outputNeuron.ConnectInboundWeighted(hiddenNeuron3, []float64{1})
outputNeuron.ConnectOutbound(actuator)
actuator.ConnectInbound(outputNeuron)
nodeId := ng.NewCortexId("test-cortex")
cortex := &ng.Cortex{
NodeId: nodeId,
}
cortex.SetSensors([]*ng.Sensor{sensor})
cortex.SetNeurons([]*ng.Neuron{hiddenNeuron1, hiddenNeuron2, hiddenNeuron3, outputNeuron})
cortex.SetActuators([]*ng.Actuator{actuator})
return cortex
}