Pattern recognition is the discipline of learning to distinguish patterns, similarities, and differences between datasets and predicting the likely outcomes for future trends, models, and behaviors. As humans, we are exceptionally talented at this; from vision to hearing to touch, the ability to recognize patterns is fundamental to how we interact with the world. The study of pattern recognition relies heavily on machine learning, artificial intelligence, and cognitive systems, creating algorithms and models that attempt to bridge the divide between raw data and our unique human understanding of complex networks and concepts.

See also: flow state, peak experience, default mode network, altered state