func AddNeuronNonRecurrent(cortex *ng.Cortex) (bool, MutateResult) {
numAttempts := len(cortex.AllNodeIds()) * 5
for i := 0; i < numAttempts; i++ {
nodeIdLayerMap := cortex.NodeIdLayerMap()
neuronLayerMap := cortex.NeuronLayerMap()
randomLayer := neuronLayerMap.ChooseRandomLayer()
upstreamNodeId := nodeIdLayerMap.ChooseNodeIdPrecedingLayer(randomLayer)
if upstreamNodeId == nil {
continue
}
downstreamNodeId := findDownstreamNodeId(cortex, nodeIdLayerMap, randomLayer)
if downstreamNodeId == nil {
continue
}
neuron := cortex.CreateNeuronInLayer(randomLayer)
neuronAddInlinkFrom(neuron, upstreamNodeId)
neuronAddOutlinkTo(neuron, downstreamNodeId)
return true, neuron
}
return false, nil
}
func Outsplice(cortex *ng.Cortex, chooseOutbound OutboundChooser) (bool, *ng.Neuron) {
numAttempts := len(cortex.AllNodeIds()) * 5
for i := 0; i < numAttempts; i++ {
neuronA := randomNeuron(cortex)
outbound := chooseOutbound(neuronA)
if outbound == nil {
continue
}
if neuronA.NodeId.UUID == outbound.NodeId.UUID {
continue
}
nodeIdB := outbound.NodeId
// figure out which layer neuronK will go in
nodeIdLayerMap := cortex.NodeIdLayerMap()
layerA := neuronA.NodeId.LayerIndex
layerB := nodeIdB.LayerIndex
layerK := nodeIdLayerMap.LayerBetweenOrNew(layerA, layerB)
// create neuron K
neuronK := cortex.CreateNeuronInLayer(layerK)
// disconnect neuronA <-> nodeB
nodeBConnector := cortex.FindInboundConnector(nodeIdB)
ng.DisconnectOutbound(neuronA, nodeIdB)
ng.DisconnectInbound(nodeBConnector, neuronA)
// connect neuronA -> neuronK
weights := randomWeights(1)
ng.ConnectOutbound(neuronA, neuronK)
ng.ConnectInboundWeighted(neuronK, neuronA, weights)
// connect neuronK -> nodeB
switch nodeIdB.NodeType {
case ng.NEURON:
neuronB := cortex.FindNeuron(nodeIdB)
ng.ConnectOutbound(neuronK, neuronB)
ng.ConnectInboundWeighted(nodeBConnector, neuronK, weights)
case ng.ACTUATOR:
actuatorB := cortex.FindActuator(nodeIdB)
ng.ConnectOutbound(neuronK, actuatorB)
ng.ConnectInbound(nodeBConnector, neuronK)
}
return true, neuronK
}
return false, nil
}
func AddNeuronRecurrent(cortex *ng.Cortex) (bool, MutateResult) {
numAttempts := len(cortex.AllNodeIds()) * 5
for i := 0; i < numAttempts; i++ {
nodeIdLayerMap := cortex.NodeIdLayerMap()
neuronLayerMap := cortex.NeuronLayerMap()
randomLayer := neuronLayerMap.ChooseRandomLayer()
inboundNodeId := findRecurrentInboundNodeId(cortex,
nodeIdLayerMap,
randomLayer)
if inboundNodeId == nil {
log.Printf("Warn: unable to find inbound node id")
continue
}
if randomLayer == inboundNodeId.LayerIndex {
continue
}
neuron := cortex.CreateNeuronInLayer(randomLayer)
outboundNodeId := findRecurrentOutboundNodeId(cortex,
nodeIdLayerMap,
randomLayer)
if outboundNodeId == nil {
log.Printf("Warn: unable to find outbound node id")
continue
}
neuronAddInlinkFrom(neuron, inboundNodeId)
neuronAddOutlinkTo(neuron, outboundNodeId)
return true, neuron
}
logg.LogTo("NEURVOLVE", "return false, nil")
return false, nil
}