This book traces the roots of intelligence down to quantum physics, and in particular, to quantum natural computing. The concept of intelligence is formalized in such a way that it can be referred to both human and robots, and therefore, the book is focused on a phenomenology of intelligent behavior, in general, regardless of its biological or physical origin. The simplest patterns of intelligent behavior, that are generalization and abstraction, can be found in classical recurrent nets that simulate static, periodic and chaotic attractors. However, only introduction of quantum recurrent nets (QRN), quantum resonance (QR) phenomenon, and quantum-inspired (i Q) systems opens up a closer look to phenomenological similarity between quantum algorithms and paradigms of intelligent behavior.
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