Scott de Marchi (North Carolina Duke University), Michael Laver (New York University)

The Governance Cycle in Parliamentary Democracies

A Computational Social Science Approach

• Broschiertes Buch

Produktbeschreibung

This book uses a computational social science approach to analyze government formation and survival in parliamentary democracies. It models 'functionally rational' politicians who attack complex problems using heuristics and also develops artificial intelligence algorithms which relentlessly learn how best to 'win' the political game.

Produktdetails

• Cambridge Studies in Comparative Politics
• Verlag: Cambridge University Press
• Seitenzahl: 200
• Erscheinungstermin: 9. Februar 2023
• Englisch
• Abmessung: 229mm x 152mm x 13mm
• Gewicht: 350g
• ISBN-13: 9781009315487
• ISBN-10: 100931548X
• Artikelnr.: 65950816

Autorenporträt

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.

Inhaltsangabe

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.