Verfasst von: | De Marchi, Scott [VerfasserIn] ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
| Laver, Michael [VerfasserIn] ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
Titel: | The governance cycle in parliamentary democracies |
Titelzusatz: | a computational social science approach |
Verf.angabe: | Scott de Marchi (Duke University), Michael Laver (New York University) |
Verlagsort: | Cambridge, United Kingdom ; New York, NY, USA ; Port Melbourne, VIC, Australia ; New Delhi, India ; Singapore |
Verlag: | Cambridge University Press |
Jahr: | 2023 |
Umfang: | ix, 209 Seiten |
Illustrationen: | Diagramme |
Gesamttitel/Reihe: | Cambridge studies in comparative politics |
Fussnoten: | Literaturverzeichnis: Seite 198-207 |
ISBN: | 978-1-009-31548-7 |
| 978-1-009-31547-0 |
Abstract: | "This book analyzes government formation and survival in parliamentary democracies, for the first time using computational models to do this. We model "functionally rational' politicians who attack complex problems using simple rules of thumb, and develop artificial intelligence algorithms, similar to those which have beaten the world's best poker players, which relentlessly learn how best to "win" the political game"-- |
| 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 |
| 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. |
DOI: | doi:10.1017/9781009315449 |
URL: | Cover: http://www.dietmardreier.de/annot/426F6F6B446174617C7C393738313030393331353437307C7C434F50.jpg?sq=3 |
| DOI: https://doi.org/10.1017/9781009315449 |
Schlagwörter: | (s)Große Koalition / (s)Mathematische Modellierung / (s)Sozialwissenschaften ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
Sprache: | eng |
RVK-Notation: | MF 6200 ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
| MR 2200 ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
Sach-SW: | Comparative politics |
| Digital- und Informationstechnologien: soziale und ethische Aspekte |
| Ethical & social aspects of IT |
| Forschungsmethoden, allgemein |
| POLITICAL SCIENCE / General |
| Political economy |
| Research methods: general |
| Vergleichende Politikwissenschaften |
| Wirtschaftspolitik, politische Ökonomie |
K10plus-PPN: | 1823912680 |
¬The¬ governance cycle in parliamentary democracies / De Marchi, Scott [VerfasserIn]; 2023