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Area of Science:

  • Cognitive Psychology
  • Network Science
  • Neuroscience

Background:

  • Creative problem-solving is crucial but its cognitive mechanisms are not fully understood.
  • Restructuring mental representations is a proposed problem-solving mechanism.
  • Restructuring may create abstract representations for solving similar problems.

Purpose of the Study:

  • To investigate the role of semantic memory network (SemNet) restructuring in creative problem-solving.
  • To quantify SemNet changes before and after riddle-solving.
  • To link SemNet restructuring to successful riddle and analogous problem-solving.

Main Methods:

  • Employed network science to analyze participants' semantic memory networks (SemNets).
  • Measured SemNet metrics before and after participants attempted to solve a riddle.
  • Quantified restructuring as the difference in SemNet metrics between pre- and post-solving phases.

Main Results:

  • Initial evidence suggests SemNet restructuring is associated with successful riddle-solving.
  • Solvers showed stronger relationships between solution-relevant and semantically remote concepts.
  • Changes in semantically remote concepts were key to actively solving the riddle.

Conclusions:

  • Problem-solving involves restructuring semantic memory networks.
  • Semantic memory reorganization, especially involving remote concepts, facilitates creative problem-solving.
  • Changes in solution-relevant concepts might indicate prior exposure rather than active problem-solving.