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Resource-Constrained Social Evidence Based Cognitive Model for Empathy-Driven Artificial Intelligence

  • Anton Kolonin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10999)

Abstract

Working model of social aspects of human and non-human intelligence is required for social embodiment of artificial general intelligence systems to explain, predict and manage behavioral patterns in multi-agent communities. For this purpose, we propose implementation of resource-constrained social evidence based model and discuss possible implications of its application.

Keywords

Artificial psychology Artificial general intelligence Compassion Cognitive model Empathy Social evidence Social proof 

Notes

Acknowledgements

This work was inspired by earlier ideas of Ben Goertzel, Jeff Pressing, Cassio Pennachin and Pei Wang in the course of Webmind project targeted to build artificial psyche in 1998–2001.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Aigents GroupNovosibirskRussia
  2. 2.SingularityNET FoundationAmsterdamNetherlands

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