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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
Attention for Chapter 1: Foundations of Trusted Autonomy: An Introduction
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Citations

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124 Mendeley
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Chapter title
Foundations of Trusted Autonomy: An Introduction
Chapter number 1
Book title
Foundations of Trusted Autonomy
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-64816-3_1
Book ISBNs
978-3-31-964815-6, 978-3-31-964816-3
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 23%
Unspecified 14 11%
Researcher 14 11%
Student > Master 12 10%
Student > Bachelor 7 6%
Other 23 19%
Unknown 26 21%
Readers by discipline Count As %
Computer Science 29 23%
Engineering 26 21%
Unspecified 14 11%
Social Sciences 7 6%
Business, Management and Accounting 5 4%
Other 15 12%
Unknown 28 23%