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Poster De Conférence Année : 2018

Implementing an implicit false belief task by cascading situation assessment with UNDERWORLDS

Yoan Sallami
Séverin Lemaignan
  • Fonction : Auteur
  • PersonId : 1039959
Rachid Alami

Résumé

Theory of Mind, how we understand others mental states, have been well studied in psychology. Recently it has been used for human robot collaboration because understanding others intentions and beliefs is a key capability for robots in order to interact with humans. However, inferring and reasoning about mental states during a Human-Robot interaction remains difficult. We present here how we apply Theory of Mind by implementing an implicit false belief task with UNDERWORLDS. In this task we explicitly maintain alternative world states associated to the beliefs of the humans and we show the interest of this approach.
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Dates et versions

hal-02925962 , version 1 (31-08-2020)

Identifiants

  • HAL Id : hal-02925962 , version 1

Citer

Yoan Sallami, Séverin Lemaignan, Aurélie Clodic, Rachid Alami. Implementing an implicit false belief task by cascading situation assessment with UNDERWORLDS. Workshop "toward a Framework for Joint Action" at Robotics Science and Systems (RSS 2018), Jun 2018, Pittsburg, United States. 2018. ⟨hal-02925962⟩
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