Published December 2014 | Version v1
Journal article

Violation of contextual generalization of the Leggett–Garg inequality for recognition of ambiguous figures

  • 1. Liberal Arts Division, Tokuyama College of Technology, Gakuendai, Shunan, Yamaguchi 745-8585 Japan (Japan)
  • 2. Department of Information Sciences, Tokyo University of Science, Yamasaki 2641, Noda-shi, Chiba, 278-8510 Japan (Japan)
  • 3. International Center for Mathematical Modeling in Physics, Engineering, Economics, and Cognitive Science Linnaeus University, Växjö-Kalmar (Sweden)

Description

We interpret the Leggett–Garg (LG) inequality as a kind of contextual probabilistic inequality in which one combines data collected in experiments performed for three different contexts. In the original version of the inequality, these contexts have a temporal nature and they are represented by three pairs of instances of time, (t1,t2),(t2,t3),(t3,t4), where t123. We generalize LG conditions of macroscopic realism and noninvasive measurability in a general contextual framework. Our formulation is performed in purely probabilistic terms: the existence of the context-independent joint probability distribution P and the possibility of reconstructing the experimentally found marginal (two-dimensional) probability distributions from P. We derive an analog of the LG inequality, ‘contextual LG inequality’, and use it as a test of ‘quantum-likeness’ of statistical data collected in a series of experiments on the recognition of ambiguous figures. In our experimental study, the figure under recognition is the Schröder stair, which is shown with rotations for different angles. Contexts are encoded by dynamics of rotations: clockwise, anticlockwise and random. Our data demonstrated violation of the contextual LG inequality for some combinations of the aforementioned contexts. Since in quantum theory and experiments with quantum physical systems, this inequality is violated, e.g. in the form of the original LG-inequality, our result can be interpreted as a sign that the quantum-like models can provide a more adequate description of the data generated in the process of recognition of ambiguous figures. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0031-8949/2014/T163/014006

Additional details

Publishing Information

Journal Title
Physica Scripta (Online)
Journal Volume
2014
Journal Issue
T163
Journal Page Range
[10 p.]
ISSN
1402-4896

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46059242
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DISTRIBUTION; PROBABILISTIC ESTIMATION; PROBABILITY; RANDOMNESS; ROTATION; TWO-DIMENSIONAL CALCULATIONS
Descriptors DEC
CALCULATION METHODS; MOTION