Lifestages models for Artificial species as a consequence of genetic code for component description. Genetic code structure for enhanced AI systems learning in a massive neural network.
Deployed method for representation of species by a picture with color spots (e.g., matrix code), which is updated by the genetic operations. Used as a core concept for evolving cortex area, responsible for modeling other species' behavior (inspired by face recognition) and boosting better AI systems.
Offered the next level of environmental complexity by adding reproduction elements, which require a partner selection. Enhance species traits for specialization architecture. Enhancing specialization by adding features for cooperative working.
Presented particular species, focusing on understanding genetic code and performing reproduction guiding to discover better architecture.