Abstract Dynamic perspectives from systems theory and cybernetics are used in this paper to introduce the self-adaptable legal regulation or individual decision-making based on Bayes networks. The latter, by using similar elements as systems theory or cybernetics can help decision-makers not only to quantify the evidential strengths of hypotheses but also to take the most probable decision. Nowadays legal science and the public administration with it that prepares the majority of draft legal rules, do not sufficiently address legal forms from which rules’ content derives. The increasing speed of change and the consequent shortness of operative rules should force decision-makers to consider the new forms of legal norms and decisions that would still respect the objectivity and impartiality of decision-making.

中文翻译：

---

管制控制论：公共行政法规中的适应性和可能性

摘要本文从系统理论和控制论的动态角度出发，介绍了基于贝叶斯网络的自适应法律法规或个人决策。后者通过使用与系统理论或控制论类似的元素，可以帮助决策者不仅量化假设的证据强度，而且可以做出最可能的决策。如今，法律科学和公共行政学在起草大多数法律规则草案的同时，还不足以解决规则内容的法律形式。变化的速度越来越快，执行规则随之而来的短促，应迫使决策者考虑仍然尊重决策客观性和公正性的新形式的法律规范和决定。