Computational theory of mind for hum...
Gurney, Nikolos.

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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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computational theory of mind for human-machine teams/ edited by Nikolos Gurney, Gita Sukthankar.
    Reminder of title: first International Symposium, ToM for Teams 2021 virtual event, November 4-6, 2021 : revised selected papers /
    remainder title: ToM for Teams 2021
    other author: Gurney, Nikolos.
    corporate name: ToM for Teams (Symposium)
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: xii, 229 p. :ill., digital ;24 cm.
    [NT 15003449]: 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 Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time -- Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-21671-8
    ISBN: 9783031216718
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