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Computational Theory of Mind for Human-Machine Teams

Overview of attention for book
Cover of 'Computational Theory of Mind for Human-Machine Teams'

Table of Contents

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    Book Overview
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    Chapter 1 Operationalizing Theories of Theory of Mind: A Survey
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    Chapter 2 Knowledge of Self and Other Within a Broader Commonsense Setting
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    Chapter 3 Constructivist Approaches for Computational Emotions: A Systematic Survey
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    Chapter 4 Social Cognition Paradigms ex Machinas
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    Chapter 5 Evaluating Artificial Social Intelligence in an Urban Search and Rescue Task Environment
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    Chapter 6 Modular Procedural Generation for Voxel Maps
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    Chapter 7 Task Complexity and Performance in Individuals and Groups Without Communication
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    Chapter 8 Development of Emergent Leadership Measurement: Implications for Human-Machine Teams
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    Chapter 9 Should Agents Have Two Systems to Track Beliefs and Belief-Like States?
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    Chapter 10 Sequential Theory of Mind Modeling in Team Search and Rescue Tasks
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    Chapter 11 Integrating Machine Learning and Cognitive Modeling of Decision Making
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    Chapter 12 Overgenerality from Inference in Perspective-Taking
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    Chapter 13 Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time
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    Chapter 14 Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent
Attention for Chapter 6: Modular Procedural Generation for Voxel Maps
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Citations

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Chapter title
Modular Procedural Generation for Voxel Maps
Chapter number 6
Book title
Computational Theory of Mind for Human-Machine Teams
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-21671-8_6
Book ISBNs
978-3-03-121670-1, 978-3-03-121671-8
Authors

Pyarelal, Adarsh, Banerjee, Aditya, Barnard, Kobus

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Researcher 1 17%
Student > Bachelor 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 3 50%
Psychology 1 17%
Unknown 2 33%

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