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The Natural Way to Artificial Intelligence

  • Chapter
Artificial General Intelligence

Part of the book series: Cognitive Technologies ((COGTECH))

Summary

The chapter argues that the investigations of evolutionary processes that result in human intelligence by means of mathematical/computer models can be a serious scientific basis of AI research. The “intelligent inventions” of biological evolution (unconditional reflex, habituation, conditional reflex, ...) to be modeled, conceptual background theories (the metasystem transition theory by V.F. Turchin and the theory of functional systems by P.K. Anokhin) and modern approaches (Artificial Life, Simulation of Adaptive Behavior) to such modeling are outlined. Two concrete computer models, “Model of Evolutionary Emergence of Purposeful Adaptive Behavior” and the “Model of Evolution of Web Agents” are described. The first model is a pure scientific investigation; the second model is a step to practical applications. Finally, a possible way from these simple models to implementation of high level intelligence is outlined.

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Author information

Authors and Affiliations

  1. Institute of Optical and Neural Technologies, Russian Academy of Science, Moscow, Russia

    Vladimir G. Red’ko

Authors
  1. Vladimir G. Red’ko
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Editor information

Editors and Affiliations

  1. AGIRI — Artificial General Intelligence Research Institute, 1405 Bernerd Place, Rockville, MD, 20851, USA

    Ben Goertzel  & Cassio Pennachin  & 

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© 2007 Springer-Verlag Berlin Heidelberg

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Red’ko, V.G. (2007). The Natural Way to Artificial Intelligence. In: Goertzel, B., Pennachin, C. (eds) Artificial General Intelligence. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68677-4_10

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  • DOI: https://doi.org/10.1007/978-3-540-68677-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23733-4

  • Online ISBN: 978-3-540-68677-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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