Advertisement

The Human Factor: Understanding Humans by Artificial Systems

  • Jürgen Klüver
  • Christina Klüver
Chapter
Part of the Theory and Decision Library A: book series (TDLA, volume 47)

In  Section 4.2we demonstrated the example of the juvenile delinquent Tom and how it is possible to understand him in an exact manner by simulating the development of his Social-Darwinian world-view. The usage of such formal systems like a SEN or a SOM is apparently twofold: On the one hand the simulation of certain processes like the cognitive development of a youth enables the user of such programs to understand these processes and in particular their results in a more precise and exact manner than it would be possible without such formal systems. On the other hand the question how an AI system could be able to understand human actions can be answered by the assumption that AI systems contain neural networks like a SEN: When receiving the according inputs about the self-portrayal of Tom, especially about the genesis of his world-view, and when the SEN is in addition provided with the according components of prototype theory, i.e. the centering of new information around early...

Keywords

Mental Model Marketing Strategy Simulation Program Semantical Network Central Concept 
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.

References

  1. Brisch, K.H., 1980: Arzt-Patient-Gespräche in der Allgemeinpraxis. Theoretische Reflexion, methodische Diskussion und exemplarische Analyse des Arzt-Patient-Gesprächs. University of Ulm: PhD thesis (Doctor – Patient Discourses in a Medical Practice)Google Scholar
  2. Hörmann, H., 1978: Meinen Und Verstehen. Grundzüge Einer Psychologischen Semantik. Frankfurt (M): SuhrkampGoogle Scholar
  3. Klüver, J. and Klüver, C., 2007: On Communication. An Interdisciplinary and Mathematical Approach. Dordrecht (NL): SpringerzbMATHGoogle Scholar
  4. Klüver, J. and Stoica, C., 2006: Topology, computational models, and socio-cognitive complexity. In: Complexity 11(4), 43–55CrossRefGoogle Scholar
  5. Schank, R. and Riesbeck, C., 1981: Inside Computer Understanding. Hillsdale (NJ): Lawrence ErlbaumGoogle Scholar
  6. Stoica-Klüver, C., Klüver, J., and Schmidt, J., 2007: Besser Und Erfolgreicher Kommunizieren. Herdecke/Witten: w3l VerlagGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of Duisburg-EssenEssenGermany

Personalised recommendations