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Books > Social sciences > Politics & government > Public administration
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Frameworks for Modeling Cognition and Decisions in Institutional Environments - A Data-Driven Approach (Hardcover, 2015 ed.)
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Frameworks for Modeling Cognition and Decisions in Institutional Environments - A Data-Driven Approach (Hardcover, 2015 ed.)
Series: Law, Governance and Technology Series, 21
Expected to ship within 10 - 15 working days
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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.
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