Abstract: This patent develops and demonstrates the technology required for constructing machine evolutionary behavior within systems to enable evolving learning capability for autonomous recognition of new emerging behaviors. A purpose of this technology is to provide a formal methodology and implementation for adding new knowledge, which results from the automated recognition of new patterns (behaviors) within systems. Key characteristic of the “Machine Evolutionary Behavior by Embedded Collaborative Learning engine” consist on operating with an ensemble of learning paradigms, which when instantiated work in a collaborative way. The resulting framework compiles the inherent advantages of the involved methods, but also a synergetic behavior is obtained when working in a collaborative fashion.