Neural network formalization of the hungarian party-state system

Abstract

A description of the decision-making structure of the Hungarian Partystate system, based on empirical studies, is offered. The structure is divided into three parts: the formal hierarchies, the interlinking threads, and the feedback connections. The working mechanism, the sources of cohesion, and the maintenance of the system are explained. The working mechanism of the structure reveals pattern-recognition-type decision making and close similarity to the adaptive resonance theory (ART) of competitive learning. The observed analogy is followed throughout the structure. Based on the ART model, we offer a mathematical description of the properties of the structure that could, in principle, be quantified if the model parameters were to be determined by further empirical studies. Properties of the structure are qualitatively analyzed with the help of this mathematical model. The selfsimilar or fractal property of the structure makes it possible to analyze some features of other Party-state systems.

Between Hopes and Reality : About Civil Society and Political Participation in Hungary Between 1990 and 2010

“…Political power is monopolized by the Marxist-Leninist Communist Party, which is opposing the idea of capitalism. Csanádi and Lörincz (1992) specify further how the influence of the Party over economic processes and the property permeates the decision-making system, creating parallel and crosscutting decision-making structures, causing uncertainty and the primacy of political interests over economic rationality. Hankiss (1989a) defines the socialist system in its relation to the European ideal-type of modernization: Thus, a socialist-system, although it is an effort of modernization itself, it is seen as an anti-modernization attempt, by Hankiss, since it is characterized by the lack of chance to fulfill modern freedoms, as freedom connected to rationality, humanism and European liberties.…”