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Socionics pp 289-313 | Cite as

Communication Systems: A Unified Model of Socially Intelligent Systems

  • Matthias Nickles
  • Michael Rovatsos
  • Wilfried Brauer
  • Gerhard Weiß
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3413)

Abstract

This paper introduces communication systems (CS) as a unified model for socially intelligent systems. This model derived from sociological systems theory, combines the empirical analysis of communication in a social system with logical processing of social information to provide a general framework for computational components that exploit communication processes in multiagent systems. We present an elaborate formal model of CS that is based on expectation networks and their processing. To illustrate how the CS layer can be integrated with agent-level expectation-based methods, we discuss the conversion between CS and interaction frames in the InFFrA architecture. A number of CS-based applications that we envision suggest that this model has the potential to add a new perspective to Socionics and to multiagent systems research in general.

Keywords

Intelligent System Multiagent System Outgoing Link Normative Edge Social Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Matthias Nickles
    • 1
  • Michael Rovatsos
    • 1
  • Wilfried Brauer
    • 1
  • Gerhard Weiß
    • 1
  1. 1.Department of InformaticsTechnical University of MunichGarching bei MünchenGermany

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