Frameworks for Modeling Cognition and Decisions in Institutional Environments
A Data-Driven Approach
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Beschreibung
This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable.
While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of “institutional rationality” of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments.
This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and thecommunity of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data.
This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable.
While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of “institutional rationality” of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments.
This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and the community of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data.
Provides a thorough and technical review of theoretical approaches to decision-making Contributes to a rethinking of some basic notions of political science Presents a plausible framework for modeling political cognition and decision-making Provides a reliable and realistic knowledge acquisition strategy Includes supplementary material: sn.pub/extras
Autor*in
Joan-Josep Vallbé
Themen in »Frameworks for Modeling Cognition and Decisions in Institutional Environments«
Approaches to Decision-Making Behavioral Decision Analysis Decision-Making Within Institutions Decision-Support System for Judges Decision-Support Systems Decisions and Institutions Design and Implementation of Knowledge-Based Systems Empirical Approach to Decision-Makers Enhanced Decision-Making Institutional Decision-Making Interaction Between Rationality and Institutions Knowledge Acquisition Knowledge Acquisition Strategy Models of Decision Making New Institutionalism