Frameworks for Modeling Cognition and Decisions in Institutional Environments

A Data-Driven Approach

  • Joan-Josep Vallbé

Part of the Law, Governance and Technology Series book series (LGTS, volume 21)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Joan-Josep Vallbé
    Pages 1-10
  3. Foundations

    1. Front Matter
      Pages 11-11
    2. Joan-Josep Vallbé
      Pages 13-69
    3. Joan-Josep Vallbé
      Pages 71-116
  4. Data Analysis

    1. Front Matter
      Pages 117-117
    2. Joan-Josep Vallbé
      Pages 119-154
    3. Joan-Josep Vallbé
      Pages 155-211
    4. Joan-Josep Vallbé
      Pages 213-227
  5. Back Matter
    Pages 229-232

About this book

Introduction

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.

Keywords

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 On-Call Service in Judicial Settings Quantitative Text Analysis Strategy for Knowledge Acquisition Theory of Human Rationality

Authors and affiliations

  • Joan-Josep Vallbé
    • 1
  1. 1.Constitutional Law and Political ScienceUniversity of BarcelonaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-9427-5
  • Copyright Information Springer Science+Business Media Dordrecht 2015
  • Publisher Name Springer, Dordrecht
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-94-017-9426-8
  • Online ISBN 978-94-017-9427-5
  • Series Print ISSN 2352-1902
  • Series Online ISSN 2352-1910
  • About this book