IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2006-20-2.html
   My bibliography  Save this article

The Empirical Semantics Approach to Communication Structure Learning and Usage: Individualistic Vs. Systemic Views

Author

Abstract

In open systems of artificial agents, the meaning of communication in part emerges from ongoing interaction processes. In this paper, we present the empirical semantics approach to inductive derivation of communication semantics that can be used to derive this emergent semantics of communication from observations. The approach comes in two complementary variants: One uses social systems theory, focusing on system expectation structures and global utility maximisation, and the other is based on symbolic interactionism, focusing on the viewpoint and utility maximisation of the individual agent. Both these frameworks make use of the insight that the most general meaning of agent utterances lies in their expectable consequences in terms of observable events, and thus they strongly demarcate themselves from traditional approaches to the semantics and pragmatics of agent communication languages.

Suggested Citation

  • Matthias Nickles & Michael Rovatsos & Marco Schmitt & Wilfried Brauer & Felix Fischer & Thomas Malsch & Kai Paetow & Gerhard Weiss, 2007. "The Empirical Semantics Approach to Communication Structure Learning and Usage: Individualistic Vs. Systemic Views," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-5.
    • Handle: RePEc:jas:jasssj:2006-20-2
    as

    Download full text from publisher

    File URL: https://www.jasss.org/10/1/5/5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heinz-Jürgen Müller & Thomas Malsch & Ingo Schulz-Schaeffer, 1998. "SOCIONICS: Introduction and Potential," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-5.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Meister & Kay Schröter & Diemo Urbig & Eric Lettkemann & Hans-Dieter Burkhard & Werner Rammert, 2007. "Construction and Evaluation of Social Agents in Hybrid Settings: Approach and Experimental Results of the INKA Project," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-4.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2006-20-2. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.