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Related Experiment Videos

Using relations within conceptual systems to translate across conceptual systems.

Robert L Goldstone1, Brian J Rogosky

  • 1Psychology Department, Indiana University, Bloomington, IN 47405, USA. rgoldsto@indiana.edu

Cognition
|June 5, 2002
PubMed
Summary

This study introduces ABSURDIST, a computational algorithm for concept translation. ABSURDIST successfully aligns concepts across different systems using only internal conceptual relationships, demonstrating the power of conceptual web theories.

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Philosophy of Language

Background:

  • Theories of meaning distinguish between external grounding (world connection) and conceptual web (internal relations).
  • Identifying matching concepts across diverse systems (people, theories, cultures) is crucial for understanding meaning.
  • Existing methods may rely heavily on external information, limiting cross-system applicability.

Purpose of the Study:

  • To present a novel computational algorithm, ABSURDIST, for identifying and translating concepts across different systems.
  • To demonstrate that concept translation can be achieved using solely within-system similarity relations.
  • To explore the interplay between intrinsic (within-system) and extrinsic (between-system) information in meaning alignment.

Main Methods:

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  • Development of the ABSURDIST (Aligning Between Systems Using Relations Derived Inside Systems for Translation) algorithm.
  • Utilizing a conceptual web approach, focusing exclusively on within-system similarity.
  • Simulations to test the algorithm's efficacy in cross-system concept identification and translation.

Main Results:

  • ABSURDIST successfully identifies and translates matching concepts across systems using only internal relational data.
  • The algorithm validates the sufficiency of the conceptual web account for cross-system translation.
  • Simulations revealed significant synergistic effects between intrinsic and extrinsic information sources.

Conclusions:

  • Conceptual web theories provide a robust framework for cross-system meaning alignment and translation.
  • The ABSURDIST algorithm offers a novel, purely intrinsic method for concept translation.
  • Future research can leverage these findings to explore deeper interactions between internal and external meaning components.