skip to main content
10.1145/3623809.3623947acmotherconferencesArticle/Chapter ViewAbstractPublication PageshaiConference Proceedingsconference-collections
poster

A semi-living broken Dialogue Agent Depending on the Internal State of a Living Neuronal Network

Authors Info & Claims
Published:04 December 2023Publication History

ABSTRACT

We have been exploring a system that constructs a hybrid semi-artificial life that fuses a biological neuronal network and a hardware information processing device, and expresses the phenomena that occur there as "intelligent behavior". In this study, we implemented a broken dialogue agent that is a wetware-hardware hybrid that has a sound input/output interface that connects the biological neural network to the outside world, in order to reflect the "fluctuation" unique to living organisms in the system. The agent extracts words contained in the voice input, evaluates the impression of the dialogue based on the "emotional polarity dictionary", and applies electrical stimulation to the cultured living neuronal network according to the evaluation result. The induced neuronal electrical activity pattern was defined as the "internal state" of the agent, and this determined the emotional polarity value of the agent itself at that time. The agent selects words that are compatible with the emotional polarity of agent extracting from co-occurring words and outputs them in "broken sentences". On the human side, we aimed to establish a conversation by complementing and understanding the meaning from this broken word sequence.

References

  1. T. Taguchi A. Kiyohara and S. N. Kudoh. 2008. Analysis for the mechanism of autonomous network reorganization in dissociated culture. proc.SCIS & ISIS 2008 (2008), 452–455.Google ScholarGoogle Scholar
  2. D. J. Chalmers. [n. d.]. Facing up to the problem of consciousness. Journal of consciousness studies 2, 3 ([n. d.]).Google ScholarGoogle Scholar
  3. G.Tononi. [n. d.]. Aninformationintegrationtheoryofconsciousness. 54, 2, Article 5 ([n. d.]), 1 pages.Google ScholarGoogle Scholar
  4. T. Kudo and Y. Matsumoto. [n. d.]. Japanese dependency analysis using cascaded chunking. ([n. d.]).Google ScholarGoogle Scholar
  5. Y. Matsumoto M. Higashiyama, K. Inui. [n. d.]. Learningsentimentofnounsfromselectional preferences of verbs and adjectives. ([n. d.]).Google ScholarGoogle Scholar
  6. A. Kiyohara C. Hosokawa T. Taguchi I. Hayashi S. N. Kudoh, M. Tokuda. [n. d.]. Vitroid–the robot system with an interface between a living neuronal network and outer world. ([n. d.]).Google ScholarGoogle Scholar
  7. H. Ito W. Minoshima, Y. Fukui and S. N. Kudoh. 20015. Relationship between evoked electrical responses and robotic behavior analyzed by Self-Organization Map. In Proc.24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).Google ScholarGoogle Scholar

Index Terms

  1. A semi-living broken Dialogue Agent Depending on the Internal State of a Living Neuronal Network
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction
          December 2023
          506 pages
          ISBN:9798400708244
          DOI:10.1145/3623809

          Copyright © 2023 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 4 December 2023

          Check for updates

          Qualifiers

          • poster
          • Research
          • Refereed limited

          Acceptance Rates

          Overall Acceptance Rate121of404submissions,30%
        • Article Metrics

          • Downloads (Last 12 months)7
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format