de Marchi / Laver The Governance Cycle in Parliamentary Democracies

A Computational Social Science Approach
Erscheinungsjahr 2023
ISBN: 978-1-009-31545-6
Verlag: Cambridge University Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 0 Seiten

Reihe: Cambridge Studies in Comparative Politics

Parliamentary democracy involves a never-ending cycle of elections, government formations, and the need for governments to survive in potentially hostile environments. These conditions require members of any government to make decisions on a large number of issues, some of which sharply divide them. Officials resolve these divisions by 'logrolling'– conceding on issues they care less about, in exchange for reciprocal concessions on issues to which they attach more importance. Though realistically modeling this 'governance cycle' is beyond the scope of traditional formal analysis, this book attacks the problem computationally in two ways. Firstly, it models the behavior of “functionally rational” senior politicians who use informal decision heuristics to navigate their complex high stakes setting. Secondly, by applying computational methods to traditional game theory, it uses artificial intelligence to model how hyper-rational politicians might find strategies that are close to optimal.

Autoren/Hrsg.

de Marchi, Scott

Laver, Michael

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Sozialwissenschaften Politikwissenschaft Politische Systeme Vergleichende Politikwissenschaft
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Wirtschafts- und Finanzpolitik
• Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftspolitik, politische Ökonomie
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV

Inhaltsverzeichnis

Introduction; 1. Governance, complexity, computation and rationality; 2. The governance cycle; 3. Agent based model of government formation and survival; 4. Artificial intelligence and government formation; 5. Analyzing models of government formation and survival; 6. The empirics of government formation and survival; 7. Conclusions and aspirations; Appendices.

Über Autor(innen)

de Marchi, Scott
Scott de Marchi is Professor of Political Science and Director of Decision Science at Duke University. He is a principal investigator for the for the National Science Foundation's Empirical Implications of Theoretical Models program and his research focuses on decision-making in contexts that include Congress, coalition and crisis bargaining, and interstate conflict.

Laver, Michael
Michael Laver is Emeritus Professor of Politics at New York University. He has published 20 books, including Multiparty Government: The Politics of Coalition in Europe (1991), Making and Breaking Governments (1996), and Party Competition: An Agent-Based Model (2014).