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Robust Intelligence and Trust in Autonomous Systems

Overview of attention for book
Cover of 'Robust Intelligence and Trust in Autonomous Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Towards Modeling the Behavior of Autonomous Systems and Humans for Trusted Operations
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    Chapter 3 Learning Trustworthy Behaviors Using an Inverse Trust Metric
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    Chapter 4 The “Trust V”: Building and Measuring Trust in Autonomous Systems
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    Chapter 5 Big Data Analytic Paradigms: From Principle Component Analysis to Deep Learning
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    Chapter 6 Artificial Brain Systems Based on Neural Network Discrete Chaotic Dynamics. Toward the Development of Conscious and Rational Robots
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    Chapter 7 Modeling and Control of Trust in Human-Robot Collaborative Manufacturing
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    Chapter 8 Investigating Human-Robot Trust in Emergency Scenarios: Methodological Lessons Learned
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    Chapter 9 Designing for Robust and Effective Teamwork in Human-Agent Teams
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    Chapter 10 Measuring Trust in Human Robot Interactions: Development of the “ Trust Perception Scale-HRI ”
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    Chapter 11 Methods for Developing Trust Models for Intelligent Systems
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    Chapter 12 The Intersection of Robust Intelligence and Trust: Hybrid Teams, Firms and Systems
Overall attention for this book and its chapters
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Mentioned by

policy
1 policy source
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1 X user

Readers on

mendeley
167 Mendeley
Summary Policy documents X
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Title
Robust Intelligence and Trust in Autonomous Systems
Published by
Springer US, January 2016
DOI 10.1007/978-1-4899-7668-0
ISBNs
978-1-4899-7666-6, 978-1-4899-7668-0
Editors

Ranjeev Mittu, Donald Sofge, Alan Wagner, W.F. Lawless

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Colombia 1 <1%
Sweden 1 <1%
Germany 1 <1%
Unknown 163 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 23%
Student > Master 27 16%
Researcher 17 10%
Student > Bachelor 13 8%
Student > Doctoral Student 12 7%
Other 22 13%
Unknown 38 23%
Readers by discipline Count As %
Engineering 47 28%
Computer Science 29 17%
Psychology 17 10%
Economics, Econometrics and Finance 4 2%
Business, Management and Accounting 4 2%
Other 20 12%
Unknown 46 28%

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