Quantum-like formalism for cognitive measurements
Abstract
Description
We develop a kind of quantum formalism (Hilbert space probabilistic calculus) for measurements performed over cognitive (in particular, conscious) systems. By using this formalism we could predict averages of cognitive observables. Reflecting the basic idea of neurophisiological and psychological studies on a hierarchic structure of cognitive processes, we use p-adic hierarchic trees as a mathematical model of a mental space. We also briefly discuss the general problem of the choice of adequate mental geometry.
New version: neurophysiological foundations for quantum-like statistical model of thinking -- frequency neural pathway coding
New version: neurophysiological foundations for quantum-like statistical model of thinking -- frequency neural pathway coding