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Foundations of Trusted Autonomy

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Cover of 'Foundations of Trusted Autonomy'

Table of Contents

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    Book Overview
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    Chapter 1 Foundations of Trusted Autonomy: An Introduction
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    Chapter 2 Universal Artificial Intelligence
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    Chapter 3 Goal Reasoning and Trusted Autonomy
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    Chapter 4 Social Planning for Trusted Autonomy
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    Chapter 5 A Neuroevolutionary Approach to Adaptive Multi-agent Teams
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    Chapter 6 The Blessing and Curse of Emergence in Swarm Intelligence Systems
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    Chapter 7 Trusted Autonomous Game Play
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    Chapter 8 The Role of Trust in Human-Robot Interaction
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    Chapter 9 Trustworthiness of Autonomous Systems
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    Chapter 10 Trusted Autonomy Under Uncertainty
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    Chapter 11 The Need for Trusted Autonomy in Military Cyber Security
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    Chapter 12 Reinforcing Trust in Autonomous Systems: A Quantum Cognitive Approach
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    Chapter 13 Learning to Shape Errors with a Confusion Objective
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    Chapter 14 Developing Robot Assistants with Communicative Cues for Safe, Fluent HRI
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    Chapter 15 Intrinsic Motivation for Truly Autonomous Agents
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    Chapter 16 Computational Motivation, Autonomy and Trustworthiness: Can We Have It All?
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    Chapter 17 Are Autonomous-and-Creative Machines Intrinsically Untrustworthy?
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    Chapter 18 Trusted Autonomous Command and Control
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    Chapter 19 Trusted Autonomy in Training: A Future Scenario
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    Chapter 20 Future Trusted Autonomous Space Scenarios
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    Chapter 21 An Autonomy Interrogative
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Title
Foundations of Trusted Autonomy
Published by
Springer, Cham, February 2018
DOI 10.1007/978-3-319-64816-3
ISBNs
978-3-31-964815-6, 978-3-31-964816-3
Editors

Hussein A. Abbass, Jason Scholz, Darryn J. Reid

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X Demographics

The data shown below were collected from the profiles of 34 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 9 20%
Researcher 9 20%
Student > Doctoral Student 4 9%
Lecturer > Senior Lecturer 3 7%
Other 4 9%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 12 27%
Engineering 7 16%
Psychology 6 13%
Business, Management and Accounting 4 9%
Social Sciences 4 9%
Other 6 13%
Unknown 6 13%