Computational Theory of Mind for Human-Machine Teams: First International Symposium, ToM for Teams 2021, Virtual Event, November 4–6, 2021, Revised Selected PapersThis 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
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 |
Other editions - View all
Computational Theory of Mind for Human-Machine Teams: First International ... Nikolos Gurney,Gita Sukthankar No preview available - 2023 |
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ability actions additional agent applications approach artificial attribute basic behavior beliefs blocks building choice cognitive communication compared complexity computational Conference consider constructed coordination decision defined describe effects emergent leadership emotion environment evaluation example experiment experimental explain framework function given goal human implemented important individual inference initial input intelligence interaction International Item knowledge leaders leadership learning levels locations machine marker mean measure mechanism memory mental method Minecraft mission move Note objective observers options parameters participants performance planning points position prediction presented problem Proceedings questions reasoning recognition refer represent representation requires rescue response role routing shared similar simulation social specific structure Table task team members theory of mind tion trial understanding University values victims