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Computational Theory of Mind for Human-Machine Teams

First International Symposium, ToM for Teams 2021, Virtual Event, November 4–6, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Nikolos Gurney

    1. University of Southern California, Los Angeles, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Gita Sukthankar

    1. University of Central Florida, Orlando, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13775)

Included in the following conference series:

Conference proceedings info: AAAI-FSS 2021.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xii
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  2. Theory of Mind

    1. Front Matter

      Pages 1-1
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    2. Operationalizing Theories of Theory of Mind: A Survey

      • Nikolos Gurney, Stacy Marsella, Volkan Ustun, David V. Pynadath
      Pages 3-20

    3. Knowledge of Self and Other Within a Broader Commonsense Setting

      • Darsana P. Josyula, Matthew Goldberg, Anthony Herron, Christopher Maxey, Paul Zaidins, Timothy Clausner et al.
      Pages 21-29

    4. Constructivist Approaches for Computational Emotions: A Systematic Survey

      • Alexander Viola, Vladimir Pavlovic, Sejong Yoon
      Pages 30-50

  3. Methodological Advances

    1. Front Matter

      Pages 51-51
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    2. Social Cognition Paradigms ex Machinas

      • Joel Michelson, Deepayan Sanyal, James Ainooson, Yuan Yang, Maithilee Kunda
      Pages 53-71

    3. Evaluating Artificial Social Intelligence in an Urban Search and Rescue Task Environment

      • Jared Freeman, Lixiao Huang, Matt Wood, Stephen J. Cauffman
      Pages 72-84

    4. Modular Procedural Generation for Voxel Maps

      • Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
      Pages 85-101

    5. Task Complexity and Performance in Individuals and Groups Without Communication

      • Aditya Gulati, Thuy Ngoc Nguyen, Cleotilde Gonzalez
      Pages 102-117

    6. Development of Emergent Leadership Measurement: Implications for Human-Machine Teams

      • Ellyn Maese, Pablo Diego-Rosell, Les Debusk-Lane, Nathan Kress
      Pages 118-145

  4. Translating and Modeling Human Theory of Mind for ASI

    1. Front Matter

      Pages 147-147
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    2. Should Agents Have Two Systems to Track Beliefs and Belief-Like States?

      • Irina Rabkina, Clifton McFate
      Pages 149-157

    3. Sequential Theory of Mind Modeling in Team Search and Rescue Tasks

      • Huao Li, Long Le, Max Chis, Keyang Zheng, Dana Hughes, Michael Lewis et al.
      Pages 158-172

    4. Integrating Machine Learning and Cognitive Modeling of Decision Making

      • Taher Rahgooy, K. Brent Venable, Jennifer S. Trueblood
      Pages 173-193

    5. Overgenerality from Inference in Perspective-Taking

      • Timothy Clausner, Christopher Maxey, Matthew D. Goldberg, Paul Zaidins, Justin Brody, Darsana Josyula et al.
      Pages 194-201

  5. Tools for Improving ASI

    1. Front Matter

      Pages 203-203
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    2. Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time

      • Liang Zhang, Justin Lieffers, Adarsh Pyarelal
      Pages 205-219

    3. Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent

      • Yunzhe Wang, Nikolos Gurney, Jincheng Zhou, David V. Pynadath, Volkan Ustun
      Pages 220-228

  6. Back Matter

    Pages 229-229
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  1. Computational Theory of Mind for Human-Machine Teams

Keywords

About this book

This book constitutes the proceedings of the First International Symposium, ToM for Teams 2021, held in Washington, DC, USA, during  November 4–6, 2021, 

Each chapter in this section tackles a different aspect of AI representing the thoughts and beliefs of human agents. The work presented herein represents our collective efforts to better understand ToM, develop AI with ToM capabilities (ASI), and study how to integrate such systems into human teams.

Editors and Affiliations

  • University of Southern California, Los Angeles, USA

    Nikolos Gurney

  • University of Central Florida, Orlando, USA

    Gita Sukthankar

Bibliographic Information

  • Book Title: Computational Theory of Mind for Human-Machine Teams

  • Book Subtitle: First International Symposium, ToM for Teams 2021, Virtual Event, November 4–6, 2021, Revised Selected Papers

  • Editors: Nikolos Gurney, Gita Sukthankar

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-21671-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-21670-1Published: 02 January 2023

  • eBook ISBN: 978-3-031-21671-8Published: 01 January 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 229

  • Number of Illustrations: 12 b/w illustrations, 50 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Computing Milieux, Mathematical Logic and Formal Languages

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