Computational Theory of Mind for Human-Machine Teams: First International Symposium, ToM for Teams 2021, Virtual Event, November 4–6, 2021, Revised Selected PapersNikolos Gurney, Gita Sukthankar 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. |
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 |
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Computational Theory of Mind for Human-Machine Teams: First International ... Nikolos Gurney,Gita Sukthankar No preview available - 2023 |
Common terms and phrases
AABB ability accuracy actions active logic affective computing algorithms approach Artificial Intelligence Artificial Social Intelligence attribute basic emotion Bayesian behavioral markers choice Cogn cognitive models communication constructed emotion coordination decision domain dynamic effects Emergent leaders emergent leadership behaviors encoded episode evaluation example experiment experimental facial false beliefs framework function gridworld human observers human-machine teams IBL agents implemented inference initial input Instance-based learning interaction inverse planning Item parameters knowledge levels locations machine learning marker block median mental mental models method Minecraft Minimap mission MLBA neural network options overgeneralizations paper performance perspective-taking planning POMDPs prediction Psychol PsychSim quasi-quotation real-time reasoning reinforcement learning represent representation requires rescuer role routing scenario search and rescue semantics simulation spatial Table task environment team members teammates theory of mind theory-theory tion triage victims