Creating Brain-Like Intelligence pp 314-327

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5436) | Cite as

Cognitive Adequacy in Brain-Like Intelligence

  • Christoph S. Herrmann
  • Frank W. Ohl

Abstract

A variety of disciplines have dealt with the design of intelligent algorithms – among them Artificial Intelligence and Robotics. While some approaches were very successful and have yielded promising results, others have failed to do so which was — at least partly — due to inadequate architectures and algorithms that were not suited to mimic the behavior of biological intelligence. Therefore, in recent years, a quest for ”brain-like” intelligence has arosen. Soft- and hardware are supposed to behave like biological brains — ideally like the human brain. This raises the questions of what exactly defines the attribute ”brain-like”, how can the attribute be implemented and how tested. This chapter suggests the concept of cognitive adequacy in order to get a rough estimate of how ”brain-like” an algorithm behaves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Christoph S. Herrmann
    • 1
  • Frank W. Ohl
    • 2
  1. 1.Institute for Psychology Biological Psychology LabOtto-von-Guericke-University MagdeburgMagdeburgGermany
  2. 2.Leibniz Institute for NeurobiologyMagdeburgGermany

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