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Frameworks for Modeling Cognition and Decisions in Institutional Environments - A Data-Driven Approach (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R2,195
Discovery Miles 21 950
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Frameworks for Modeling Cognition and Decisions in Institutional Environments - A Data-Driven Approach (Paperback, Softcover reprint of the original 1st ed. 2015)
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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