A network model for intelligence


Haliki E.

Turkish Physical Society 36th International Physics Congress, Muğla, Turkey, 1 - 05 September 2020, pp.122

  • Publication Type: Conference Paper / Summary Text
  • City: Muğla
  • Country: Turkey
  • Page Numbers: pp.122

Abstract

Various studies conducted to date have explored the differences between human and other animals' intelligence. Physiological events such as the usage of hands or social interactions such as linguistic development have been proposed for the distinction between cognitions. Considering the intelligence is the ability to process data into more efficient systems which develops into cognitive ability, it is possible to think about a modular brain functioning with problem solving ability by establishing connections between concepts. In the present study, intelligence has been modeled with a network structure consisting of conceptual space. Edges between nodes which are the concepts, have been determined as paths needed to solve any encountered problem. The reasoning and problem solving ability have been investigated with some topological measures such as degree, connectivity and clustering coefficient. It is shown in the related model that human intelligence may be a phase change of an ordinary animal intelligence.