func findDownstreamNodeId(cortex *ng.Cortex, layerMap ng.LayerToNodeIdMap, fromLayer float64) *ng.NodeId {
numAttempts := len(cortex.AllNodeIds()) * 5
for i := 0; i < numAttempts; i++ {
downstreamNodeId := layerMap.ChooseNodeIdFollowingLayer(fromLayer)
if downstreamNodeId == nil {
log.Printf("findDownstreamNodeId unable to find downstream neuron, cannot add neuron")
return nil
}
if downstreamNodeId.NodeType == ng.ACTUATOR {
// make sure it has capacity for new incoming
actuator := cortex.FindActuator(downstreamNodeId)
if actuator.CanAddInboundConnection() == false {
continue
}
}
return downstreamNodeId
}
return nil
}
// Find a nodeId suitable for use as an inbound node for a newly created
// neuron. This can either be a sensor node or another neuron node (including
// the new neuron itself), but it cannot be an actuator node.
func findRecurrentInboundNodeId(cortex *ng.Cortex, layerMap ng.LayerToNodeIdMap, fromLayer float64) *ng.NodeId {
keys := layerMap.Keys()
actuatorLayer := keys[len(keys)-1]
chosenNodeId := layerMap.ChooseNodeIdPrecedingLayer(actuatorLayer)
return chosenNodeId
}
// Find a nodeId suitable for use as an outbound node for a newly created
// neuron. This can either be a either another neuron node (including
// the new neuron itself), or an actuator (if it has space), but it cannot
// be a sensor node
func findRecurrentOutboundNodeId(cortex *ng.Cortex, layerMap ng.LayerToNodeIdMap, fromLayer float64) *ng.NodeId {
numAttempts := len(cortex.AllNodeIds()) * 5
keys := layerMap.Keys()
sensorLayer := keys[0]
for i := 0; i < numAttempts; i++ {
chosenNodeId := layerMap.ChooseNodeIdFollowingLayer(sensorLayer)
if chosenNodeId.NodeType == ng.ACTUATOR {
// make sure it has capacity for new incoming
actuator := cortex.FindActuator(chosenNodeId)
if actuator.CanAddInboundConnection() == false {
continue
}
}
return chosenNodeId
}
return nil
}
