Fr. 146.00

Computational Theory of Mind for Human-Machine Teams - First International Symposium, ToM for Teams 2021, Virtual Event, November 4-6, 2021, Revised Selected Papers

English · Paperback / Softback

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Description

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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.

List of contents

Theory of Mind .- Operationalizing Theories of Theory of Mind: A Survey.- Knowledge of Self and Other Within a Broader Commonsense Setting.- Constructivist Approaches for Computational Emotions: A Systematic Survey.- Methodological Advances.- Social Cognition Paradigms ex Machinas.- Evaluating Artificial Social Intelligence in an Urban Search and Rescue Task Environment.- Modular Procedural Generation for Voxel Maps.- Task Complexity and Performance in Individuals and Groups Without Communication.- Development of Emergent Leadership Measurement: Implications for Human-Machine Teams.- Translating and Modeling Human Theory of Mind for ASI.- Should Agents Have Two Systems to Track Beliefs and Belief-Like States?.- Sequential Theory of Mind Modeling in Team Search and Rescue Tasks.- Integrating Machine Learning and Cognitive Modeling of Decision Making.- Overgenerality from Inference in Perspective-Taking.- Tools for Improving ASI.- Using Features at MultipleTemporal and Spatial Resolutions to Predict Human Behavior in Real Time.- Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent.

Product details

Assisted by Nikolos Gurney (Editor), Sukthankar (Editor), Gita Sukthankar (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 02.01.2023
 
EAN 9783031216701
ISBN 978-3-0-3121670-1
No. of pages 229
Dimensions 155 mm x 13 mm x 235 mm
Illustrations XII, 229 p. 62 illus., 50 illus. in color.
Series Lecture Notes in Computer Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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