Socionics (computer science)

from Wikipedia, the free encyclopedia

The term socionics is a word created from sociology and computer science. The social and technical worlds are merging into a new field of research in the 21st century that is being explored by socionics.

Hybrid systems

The result of the interdisciplinary research collaboration are hybrid systems consisting of social "actors" ( robots ) and software agents. Since the 1990s, the modeling of social forms of behavior in artificial intelligent systems has been sought. Due to the demographic development in western countries, but also in countries such as South Korea or Japan, the care of old people, for example, is partially transferred to robots. In order to ensure safe interaction between humans and machines, it became important to program these robots in such a way that they can meet human needs.

The social behaviors are formulated in algorithmic models. The social model serves as a matrix for programming the distributed artificial intelligence. This ultimately results in an "artificial sociality". The more precisely sociological field research can make statements about social behavior or communication rules, the better they can be implemented in AI programming.

See also

literature

  • Thomas Malsch (ed.): Socionics. Sociological Views on Artificial Sociality . Edition Sigma, Berlin 1998, ISBN 3-89404-453-5
  • Thomas Kron (ed.): Luhmann modeled. Socionic approaches to the simulation of communication systems . VS Verlag, Opladen 2002, ISBN 3-8100-3022-8
  • Rolf von Lüde, Daniel Moldt, Rüdiger Valk: Socionics. Modeling sociological theory . Lit, Münster 2005, ISBN 3-8258-5980-0
  • Klaus Fischer, Michael Florian, Thomas Malsch (eds.): Socionics. Scalability of Complex Social Systems . Springer, Berlin 2005, ISBN 3-540-30707-9
  • Rolf v. Lüde, Daniel Moldt, Rüdiger Valk (eds.): "Self-organization and governance in artificial and social systems". Lit, Münster 2009, ISBN 978-3-643-10057-3

Web links