Evolution and Progress in Democracies

In a ground-breaking series of articles, one of them written by a Nobel Laureate, this volume demonstrates the evolutionary dynamic and the transformation of today's democratic societies into scientific-democratic societies. It highlights the progress of modeling individual and societal evaluation by neo-Bayesian utility theory. It shows how social learning and collective opinion formation work, and how democracies cope with randomness caused by randomizers. Nonlinear `evolution equations' and serial stochastic matrices of evolutionary game theory allow us to optimally compute possible serial evolutionary solutions of societal conflicts. But in democracies progress can be defined as any positive, gradual, innovative and creative change of culturally used, transmitted and stored mentifacts (models, theories), sociofacts (customs, opinions), artifacts and technifacts, within and across generations. The most important changes are caused, besides randomness, by conflictsolutions and their realizations by citizens who follow democratic laws. These laws correspond to the extended Pareto principle, a supreme, socioethical democratic rule. According to this principle, progress is any increase in the individual and collective welfare which is achieved during any evolutionary progress.
Central to evolutionary modeling is the criterion of the empirical realization of computed solutions. Applied to serial conflict solutions (decisions), evolutionary trajectories are formed; they become the most influential causal attractors of the channeling of societal evolution. Democratic constitutions, legal systems etc., store all advantageous, present and past, adaptive, competitive, cooperative and collective solutions and their rules; they have been accepted by majority votes. Societal laws are codes of statutes (default or statistical rules), and they serve to optimally solve societal conflicts, in analogy to game theoretical models or to statistical decision theory. Such solutions