On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study

  • Toshihiko Matsuka
  • Hidehito Honda
  • Arieta Chouchourelou
  • Sachiko Kiyokawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5768)


Recent cognitive modeling studies suggest the effectiveness of meta-heuristic optimization in describing human cognitive behaviors. Such models are built on the basis of population-based algorithm (e.g., genetic algorithm) and thus hold multiple solutions or notions. There are, however, important yet unaddressed issues in cognitive mechanisms associated with possession of multiple notions. The issues we address in the present research is about how multiple notions are organized in our mind. In particular, we paid close attention to how each notion interact with other notions while learning a new concept. In so doing, we incorporated Particle Swarm Optimization in a cognitive model of concept learning. Three PSO-based concept learning models were developed and compared in the present exploratory cognitive modeling study.


Particle Swarm Optimization Concept Formation Swarm Intelligence Concept Learning Knowledge Organization 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Toshihiko Matsuka
    • 1
  • Hidehito Honda
    • 1
  • Arieta Chouchourelou
    • 2
  • Sachiko Kiyokawa
    • 3
  1. 1.Department of Cognitive and Information ScienceChiba UniversityJapan
  2. 2.European University CyprusNicociaCyprus
  3. 3.Department of PsychologyChubu UniversityJapan

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