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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 2: Universal Artificial Intelligence
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Chapter title
Universal Artificial Intelligence
Chapter number 2
Book title
Foundations of Trusted Autonomy
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-64816-3_2
Book ISBNs
978-3-31-964815-6, 978-3-31-964816-3
Authors

Tom Everitt, Marcus Hutter

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 6 19%
Professor > Associate Professor 2 6%
Other 2 6%
Unspecified 2 6%
Other 5 16%
Unknown 7 23%
Readers by discipline Count As %
Computer Science 9 29%
Engineering 4 13%
Neuroscience 4 13%
Business, Management and Accounting 3 10%
Unspecified 2 6%
Other 2 6%
Unknown 7 23%