<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Regulatory Cybernetics: Adaptability and Probability in the Public Administration’s Regulations

NISPAcee Journal of Public Administration and Policy

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Dynamic perspectives from systems theory and cybernetics are used in this paper to introduce the self-adaptable legal regulation or individual decision-making...

Regulatory Cybernetics: Adaptability and Probability in the Public Administration’s Regulations

Online veröffentlicht: 02. Juni 2020

Seitenbereich: 133 - 156

DOI: https://doi.org/10.2478/nispa-2020-0006

Schlüsselwörter
omplexity, Regulation, Systems theory, Cybernetic, Bayes networks

© 2020 Mirko Pečarič, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Regulatory Cybernetics: Adaptability and Probability in the Public Administration’s Regulations

Online veröffentlicht: 02. Juni 2020

Seitenbereich: 133 - 156

DOI: https://doi.org/10.2478/nispa-2020-0006

Schlüsselwörteromplexity, Regulation, Systems theory, Cybernetic, Bayes networks

© 2020 Mirko Pečarič, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
omplexity, Regulation, Systems theory, Cybernetic, Bayes networks