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Cognition and Decision Making in Complex Adaptive Systems

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Cover of 'Cognition and Decision Making in Complex Adaptive Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 What Is a Complex Adaptive System?
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    Chapter 3 Evolution from Linear to Systems Thinking
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    Chapter 4 Emergence of a New Discipline for the Twentieth Century: Human Factors and Systems Engineering
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    Chapter 5 Complexity Science in Organizational Behavior
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    Chapter 6 The Scientific Method Applied to Complex Adaptive Systems
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    Chapter 7 The Challenge of Uncertainty in Complex Adaptive Systems Research
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    Chapter 8 Beauty and the Beast: The Importance of Debate in Science
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    Chapter 9 Cognitive Psychology: What Is In The Box?
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    Chapter 10 Is Perception Reality?
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    Chapter 11 The Nature of Human Error in Decision Making
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    Chapter 12 Seeing What We Expect to See: Cognitive Bias and Its Role in Human Error and Decision Making
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    Chapter 13 How Polarization Impacts Judgment: We Are More Emotional and Less Rationale Than We Would Like to Believe
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    Chapter 14 Naturalistic Decision Making
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    Chapter 15 The Stages of a Decision
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    Chapter 16 Situational Awareness and Situational Assessment
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    Chapter 17 The Human Factor in Complex Adaptive Systems
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    Chapter 18 Strategic Decision Making Through the Lens of Complex Adaptive Systems: The Cynefin Framework
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    Chapter 19 Team Decision Making and Crew Resource Management
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    Chapter 20 The Importance of Learning Cultures in Organizations
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    Chapter 21 Fostering Diversity of Thought in Strategic Decision Making
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    Chapter 22 Innovation in Complex Adaptive Systems
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    Chapter 23 The Dark Side of Innovation
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Title
Cognition and Decision Making in Complex Adaptive Systems
Published by
Springer International Publishing, June 2023
DOI 10.1007/978-3-031-31929-7
ISBNs
978-3-03-131928-0, 978-3-03-131929-7
Authors

Carmody-Bubb, Meghan

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Student > Bachelor 1 7%
Professor 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 7 50%
Readers by discipline Count As %
Business, Management and Accounting 2 14%
Nursing and Health Professions 1 7%
Computer Science 1 7%
Economics, Econometrics and Finance 1 7%
Psychology 1 7%
Other 0 0%
Unknown 8 57%