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

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Nikolos Gurney, Gita Sukthankar
Springer Nature, Jan 1, 2023 - Computers - 229 pages
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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.

 

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Contents

A Survey
3
Knowledge of Self and Other Within a Broader Commonsense Setting
21
A Systematic Survey
30
Methodological Advances
51
Social Cognition Paradigms ex Machinas
53
Evaluating Artificial Social Intelligence in an Urban Search and Rescue Task Environment
72
Modular Procedural Generation for Voxel Maps
85
Task Complexity and Performance in Individuals and Groups Without Communication
102
Should Agents Have Two Systems to Track Beliefs and BeliefLike States?
149
Sequential Theory of Mind Modeling in Team Search and Rescue Tasks
158
Integrating Machine Learning and Cognitive Modeling of Decision Making
173
Overgenerality from Inference in PerspectiveTaking
194
Tools for Improving ASI
202
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time
205
Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent
220
Author Index
229

Implications for HumanMachine Teams
118
Translating and Modeling Human Theory of Mind for ASI
146

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