NOTE: This is like a neural network, but inspired by the BIOLOGICAL way - not the classical meaning of artificial "neural networks" nowadays - Thanks. -------------------------------------------------------------------------- This is most likely the v2 of a very basic AI, able to "learn" simple stuff with its neural network - each neuron have a personnal memory influed by the cross and check icon or auto-learning -------------------------------------------------------------------------- b toggle background c for block info p for pulse block r for repeat block q for RAM reset w for RAM format space for neutral answer -------------------------------------------------------------------------- Do note, that the auto-learning scripts are not linked with the neurons in any other way that the cross/check icons ! -------------------------------------------------------------------------- Current missions: - Add a "3D" version of the grid - Make more efficient learning scripts - this works for one letter but not two consecutive - Trying to understand the fonctionnement of the "perceptron" then apply it to my "neurons" -------------------------------------------------------------------------- Note: the neurons and the input/output letters are not linked in any way - this is just to have a mark when you want to teach something.
Still searching a meaning for the acronym - I just choosed it because it sounded cool xD ♦ Turbo mode *not* recomended except for auto-learning mode All code & graphics except windows alert are by me MCPO v1 > https://scratch.mit.edu/projects/165752414 On wikipedia: Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that [...] takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that are associated with human mind, such as "learning" and "problem solving"
