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Pattern Perception is a cross-disciplinary category for books about how we detect, interpret, and create patterns across mind, nature, data, and culture. It spans cognitive science and neuroscience of perception and illusions; statistics, signal processing, and machine learning; complexity, chaos, symmetry, and fractals; design patterns in software, architecture, and UX; pattern-rich arts like music, textiles, and ornament; and pattern hunting in cryptography, puzzles, markets, and detective reasoning. From narrative explorations to practical handbooks and technical guides, these titles help readers separate signal from noise, reveal hidden structure, and apply pattern-based thinking to creativity, problem-solving, and forecasting in everyday life.

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