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Underlying presuppositions in solving two-term series problems.

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  • 1University of Thessaloniki, Greece.

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Native speakers solving series problems primarily use absolute presuppositions, not absolute or relative ones. Context significantly influences these presuppositions, challenging existing cognitive process models.

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Area of Science:

  • Cognitive Psychology
  • Linguistics
  • Psycholinguistics

Background:

  • Traditional research focuses on psychological processes during timed series problem-solving.
  • Existing models include Linguistic, Spatial Imagery Theory, and Mixed theories.

Purpose of the Study:

  • To investigate presuppositions used by native speakers in two-term series problems.
  • To examine the influence of context and adjective type (Ratio, Ordinal1, Ordinal2) on these presuppositions.
  • To evaluate existing cognitive models against observed problem-solving patterns.

Main Methods:

  • Participants solved two-term series problems with specific adjective classes (Ratio, Ordinal1, Ordinal2).
  • Problems were presented with and without contextual information.
  • Analysis focused on the types of presuppositions elicited.

Main Results:

  • Absolute presuppositions were the predominant pattern across all adjective groups.
  • Context significantly altered the form of presuppositions.
  • The unmarkedness-markedness concept showed psychological inconsistency.
  • Observed cognitive processes differed from those proposed by established models.

Conclusions:

  • Presuppositions in un-timed two-term series problems do not align with existing theoretical models.
  • Context plays a crucial role in shaping linguistic presuppositions during problem-solving.
  • Further research is needed to understand the distinct cognitive mechanisms involved.