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Leolani: A Reference Machine with a Theory of Mind for Social Communication

  • Piek Vossen
  • Selene Baez
  • Lenka Bajc̆etić
  • Bram Kraaijeveld
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11107)

Abstract

Our state of mind is based on experiences and what other people tell us. This may result in conflicting information, uncertainty, and alternative facts. We present a robot that models relativity of knowledge and perception within social interaction following principles of the theory of mind. We utilized vision and speech capabilities on a Pepper robot to build an interaction model that stores the interpretations of perceptions and conversations in combination with provenance on its sources. The robot learns directly from what people tell it, possibly in relation to its perception. We demonstrate how the robot’s communication is driven by hunger to acquire more knowledge from and on people and objects, to resolve uncertainties and conflicts, and to share awareness of the perceived environment. Likewise, the robot can make reference to the world and its knowledge about the world and the encounters with people that yielded this knowledge.

Keywords

Robot Theory of mind Social learning Communication 

Notes

Acknowledgement

This research was funded by the VU University Amsterdam and the Netherlands Organization for Scientific Research via the Spinoza grant awarded to Piek Vossen. We also thank Bob van der Graft for his support.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Piek Vossen
    • 1
  • Selene Baez
    • 1
  • Lenka Bajc̆etić
    • 1
  • Bram Kraaijeveld
    • 1
  1. 1.Computational Lexicology and Terminology LabVU University AmsterdamAmsterdamThe Netherlands

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