Generalized Functions & Experimental Methods of Obtaining Statistical Variable-Quantities Which Fully Determine Preferences in Choice-Rich Environments
Abstract
Preferences of individuals are distributions of elements generated by generalized functions. Models of economic decision-making derived from such distributions are consistent with results of physiological experiments, and explain any behavioral situations without simplifying assumptions. Quantities in such models precisely correspond to experimentally obtainable physiological observables which determine statistical properties of central nervous system as it represents different stimuli. Graphical method of consistently and quantitatively at-a-glance interpreting or visualizing physiological data within context of economic models is demonstrated.
Cite
@article{arxiv.1112.2630,
title = {Generalized Functions & Experimental Methods of Obtaining Statistical Variable-Quantities Which Fully Determine Preferences in Choice-Rich Environments},
author = {Leonid A. Shapiro},
journal= {arXiv preprint arXiv:1112.2630},
year = {2012}
}
Comments
26 pages, 1 figures, Version 3 (January 19), Version 2 (December 31), Version 1 (December 12), in review process