Class: NEAT::Critter::Genotype

Inherits:
NeatOb
  • Object
show all
Defined in:
lib/rubyneat/critter.rb

Overview

Genotype part of the Critter

List of connections, basically.

Also, basic phentypic expression (which may be overriden by the expressor)

Notes

Currently, all lists of neurons and genes are Hashes. The neurons are indexed by their own names, and the genes are indexed by their innovation numbers.

Defined Under Namespace

Classes: Gene

Instance Attribute Summary (collapse)

Attributes inherited from NeatOb

#controller, #name

Instance Method Summary (collapse)

Methods inherited from NeatOb

#log, log, #to_s

Constructor Details

- (Genotype) initialize(critter, mating = false, &block)

Returns a new instance of Genotype



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# File 'lib/rubyneat/critter.rb', line 88

def initialize(critter, mating = false, &block)
  super critter.controller
  @critter = critter

  # Initialize basic structures
  @genes = nil
  @neural_inputs = Hash[@critter.population.input_neurons.map { |sym, ineu|
                          [sym, ineu.new(@controller, sym)]
                        }]

  @neural_outputs = Hash[@critter.population.output_neurons.map { |sym, ineu|
                          [sym, ineu.new(@controller, sym)]
                        }]
  @neurons = @neural_inputs.clone # this must be a shallow clone!
  @neurons.merge! @neural_outputs

  @controller.evolver.gen_initial_genes!(self) unless mating
  block.(self) unless block.nil?
end

Instance Attribute Details

- (Object) critter

Critter to which we belong



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# File 'lib/rubyneat/critter.rb', line 67

def critter
  @critter
end

- (Object) dangling_neurons Also known as: dangling_neurons?

This will be set to true if there are dangling neurons.



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# File 'lib/rubyneat/critter.rb', line 79

def dangling_neurons
  @dangling_neurons
end

- (Object) genes

Genes keyed by innovation numbers



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# File 'lib/rubyneat/critter.rb', line 70

def genes
  @genes
end

- (Object) neural_gene_map (readonly)

Map neurons to the genes that marks them as output { oneu_name => [ gene_1, gene_2,… gene_n], …} Just take the in_neuron name and the weight to do the call to that neuron function with the appropriate weights



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# File 'lib/rubyneat/critter.rb', line 86

def neural_gene_map
  @neural_gene_map
end

- (Object) neural_inputs (readonly)

Instantiations of neural inputs and outputs



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# File 'lib/rubyneat/critter.rb', line 76

def neural_inputs
  @neural_inputs
end

- (Object) neural_outputs (readonly)

Instantiations of neural inputs and outputs



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# File 'lib/rubyneat/critter.rb', line 76

def neural_outputs
  @neural_outputs
end

- (Object) neurons

List of neurons hashed by name



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# File 'lib/rubyneat/critter.rb', line 73

def neurons
  @neurons
end

Instance Method Details

- (Object) add_genes(*genes)

Genes added here MUST correspond to pre-existing neurons. Be sure to do add_neurons first!!!!



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# File 'lib/rubyneat/critter.rb', line 163

def add_genes(*genes)
  genes.each do |gene|
    raise NeatException.new "Neuron #{gene.in_neuron} missing" unless @neurons.member? gene.in_neuron
    raise NeatException.new "Neuron #{gene.out_neuron} missing" unless @neurons.member? gene.out_neuron
    @genes[gene.innovation] = gene
  end
end

- (Object) add_neurons(*neus)

Add new neurons to the fold



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# File 'lib/rubyneat/critter.rb', line 155

def add_neurons(*neus)
  neus.each do |neu|
    @neurons[neu.name] = neu
  end
end

- (Object) dump_s



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# File 'lib/rubyneat/critter.rb', line 218

def dump_s
  to_s + "\ngenes:\n" + @genes.map{|k, gene|
    gene.to_s}.join("\n") + "\nneurons:\n" + @neurons.map{|k, neu|
    neu.to_s}.join("\n")
end

- (Object) fitness_cost

Calculate the cost of this genotype.



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# File 'lib/rubyneat/critter.rb', line 213

def fitness_cost
  p = @controller.parms
  p.fitness_cost_per_neuron * @neurons.size + p.fitness_cost_per_gene * @genes.size
end

- (Object) forget!

Make the neurons forget their wiring.



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# File 'lib/rubyneat/critter.rb', line 134

def forget!
  @neurons.each { |name, neu| neu.clear_graph }
  @neural_gene_map = Hash.new {|h, k| h[k] = [] }
end

- (Object) innervate!(*hneus)

We take the neural hashes (presumably from other neurons), and innervate them. We do this in distinctions based on the neuron's names. FIXME We need to randomly select a neuron in the case of clashes.

Parameters:

  • hneus (Hash)

    – hashes of neurons to innervate



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# File 'lib/rubyneat/critter.rb', line 175

def innervate!(*hneus)
  hneus.each do |neus|
    @neurons.merge! neus.dclone
  end
end

- (Object) neucleate(clean: true, &block)

We add genes given here to the genome. An array of genes is returned from the block and we simply add them in.

Parameters:

  • clean (boolean)
  • block (Proc)


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# File 'lib/rubyneat/critter.rb', line 113

def neucleate(clean: true, &block)
  genes = Hash[block.(self).map { |g|
    g.genotype = self
    [g.innovation, g] }]
  if clean
    @genes = genes
  else
    @genes.merge! genes
  end
  nuke_redundancies!
end

- (Object) nuke_redundancies!

Remove any redundancies in the genome, any genes refering to the same two neurons. Simply choose one and delete the rest. TODO: implement nuke_redundancies!



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# File 'lib/rubyneat/critter.rb', line 129

def nuke_redundancies!
  log.warn 'nuke_redundancies! NIY'
end

- (Object) prune!

Go through the list of neurons and drop any neurons not referenced by the genes.

Then go through the genes and drop any that are dangling (i.e. no matching neurons)

Then make sure that @neural_inputs and @neural_outputs reference the actual instance neurons in @neurons

TODO add this circularity check to prune!



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# File 'lib/rubyneat/critter.rb', line 191

def prune!
  # Take care of dangling neurons
  neunames = @genes.values.map{|g| [g.in_neuron, g.out_neuron]}.flatten.to_set
  @neurons = Hash[@neurons.values.reject do |n|
    not neunames.member? n.name
  end.map do |n|
    [n.name, n]
  end]

  # Take care of dangling genes
  @genes = Hash[@genes.values.reject do |gene|
    not (@neurons.member?(gene.in_neuron) and @neurons.member?(gene.out_neuron))
  end.map do |gene|
    [gene.name, gene]
  end]

  # Make sure @neural_inputs and @neural_outputs are consistent
  @neural_inputs = Hash[@neural_inputs.values.map{|n| [n.name, @neurons[n.name]]}]
  @neural_outputs = Hash[@neural_outputs.values.map{|n| [n.name, @neurons[n.name]]}]
end

- (Object) wire!

Wire up the neurons based on the genes.



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# File 'lib/rubyneat/critter.rb', line 140

def wire!
  forget!
  @genes.each do |innov, gene|
    if gene.enabled?
      raise NeatException.new "Can't find #{gene.out_neuron}" if @neurons[gene.out_neuron].nil?
      @neurons[gene.out_neuron] << @neurons[gene.in_neuron]
      @neural_gene_map[gene.out_neuron] << gene unless gene.in_neuron.nil?
    end
  end unless @genes.nil?
  if @genes.nil?
    $log.error 'Genes Not Present'
  end
end