Intention-response model based on mirror neuron and theory of mind

Yu Jung Chae, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An agent should exhibit proper behaviour depending on user's intention to provide convenience to the user. In this regard, even though there are a lot of researches dealing with generation of responses according to user's intention, creating robust reactions for the agent in a diverse environment is still a critical problem. Also, there are only a few studies utilizing methods pertaining to the human brain process. To be able to respond to the user's intention efficiently, we imiate the mirror neuron system, which has the ability to react rapidly to simple intentions, and the theory of mind system, which is activated by complex intentions. A behavior selection network(BSN) system selects actions according to external stimuli and achieves a subgoal, which is similar to the features of the mirror neuron. However, it cannot solve complex problems; thus, we control modules of the BSN to make behavioral sequences and accomplish long-term goals. We confirm the usability of the proposed method by performing several test scenarios using the NAO robot. Experiments show that the proposed model is able to make behavioral sequences that are able to respond to simple intentions as well as complex intentions.

Original languageEnglish
Title of host publication2014 10th International Conference on Natural Computation, ICNC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages384-389
Number of pages6
ISBN (Electronic)9781479951505
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 10th International Conference on Natural Computation, ICNC 2014 - Xiamen, China
Duration: 2014 Aug 192014 Aug 21

Publication series

Name2014 10th International Conference on Natural Computation, ICNC 2014

Other

Other2014 10th International Conference on Natural Computation, ICNC 2014
CountryChina
CityXiamen
Period14/8/1914/8/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering

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  • Cite this

    Chae, Y. J., & Cho, S. B. (2014). Intention-response model based on mirror neuron and theory of mind. In 2014 10th International Conference on Natural Computation, ICNC 2014 (pp. 384-389). [6975866] (2014 10th International Conference on Natural Computation, ICNC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNC.2014.6975866