Multi-agent automated reasoning toward machine self-awareness: A case study

Zhenbing Zeng, Jianlin Wang, Zhengfeng Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we present a study on building a special SAARA (Self-Aware Automated Reasoning Agent) system for solving Freudenthal's Sum and Product puzzle, aimed to train the 'self-reflection' and 'subjective experience' abilities as in the Three Wise Men test performed by the Nao robots in Rensselaer Polytechnic Institute in July 2015. We show the dynamic evolution of corresponding knowledge sets in the automated reasoning process for the Sum and Product puzzle.

Original languageEnglish
Title of host publicationProceedings - 2019 13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-80
Number of pages8
ISBN (Electronic)9781728133423
DOIs
StatePublished - Jul 2019
Event13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019 - Guilin, China
Duration: 29 Jul 201931 Jul 2019

Publication series

NameProceedings - 2019 13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019

Conference

Conference13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019
Country/TerritoryChina
CityGuilin
Period29/07/1931/07/19

Keywords

  • Machine self-awareness
  • The Sum and Product Puzzle

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