Features overview

This page will give you an overview of available features in Teem by listing its main classes. This is not a complete list of classes.

Genetic Algorithms

• Teem::EvolutionRun
  Interface for evolutionary runs

• Teem::GenerationalEvolutionRun
  Genetic machinery for generation-based evolution

• Teem::SteadyStateEvolutionRun
  Genetic machinery for continuous (steady-state) evolution

• Teem::Genome
  Interface for genetic material containers

• Teem::BitGenome
  Genome that store informations as array of bits

• Teem::SimpleGrowableGenome
  Genome that store graphs that can grow and shrink

Genotype decoders

• Teem::GenotypeDecoder
  Interface for something that can decode a genome and produce a controller

• Teem::FeedForwardNeuralNetworkGenotypeDecoder
  Decode a fixed topology feed-forward neural networks

• Teem::GraphFeedForwardGenotypeDecoder
  Decoder a feed-forward version of the arbitrary topology neural networks

• Teem::GraphFullyConnectedGenotypeDecoder
  Decode a fully-connected version of the arbitrary topology neural networks

• Teem::ParameterGenotypeDecoder
  Decode raw parameters from a genome

Controllers and neural networks

• Teem::Controller
  Interface for a controller that read inputs and produce outputs

• Teem::JoystickController
  Controller that only produce outputs by reading the joystick

• Teem::KeyboardController
  Controller that only produce outputs by reading the keyboard arrows

• Teem::MatrixController
  Controller that produce outputs by multiplying its inputs with a matrix

• Teem::FeedForwardNeuralNetwork
  Neural network controller that has a fixed feed-forward topology but that can be trained using back-propagation

• Teem::GraphNeuralNetwork
  Neural network controller that has an arbitrary topology

Neurons and synapses

• Teem::Neuron
  Interface for a neuron that get several inputs and produce one output

• Teem::SigmoidNeuron
  Neurons that sum its inputs and apply a non-linear function to produce its output

• Teem::SRMNeuron
  Neuron that read spikes in input and produce spikes in output given the inputs activity

• Teem::Synapse
  Interface for a synapse that connects two neurons

Worlds

• Teem::World
  Interface to worlds that can do things and let time pass

• Teem::EnkiWorld
  World that is an interface to the Enki simulator

• EnkiViewer
  Viewer that can display EnkiWorld

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