Abstract
Human mass decision making can be seen similarly as the wave-particle duality of quantum mechanics. Dynamic human societies exhibit both the properties of large numbers of individuals (particles) and of an inseparable, aggregate wave function. It can also be interpreted as a kind of mass manic-depressive behaviour, one that is both periodic and irregular in frequency.
Thus, it should in theory be possible to describe this in terms of the signal processing paradigm. Markets and democracies can thus be understood as a highly complex, multi-dimensional signal. Similarly, networks of neurons can be so described. Therefore, applying signal processing and neural network research to the problem of behavioural economics and public choice theory should be within the realm of possibility, if in an exceedingly convoluted task.
(To Be Continued)