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Retraction Note: Decoding intelligence via symmetry and asymmetry.

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Related Experiment Video

Updated: Jun 24, 2025

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Decoding intelligence via symmetry and asymmetry.

Jianjing Fu1, Ching-An Hsiao2

  • 1College of Media Engineering, Communication University of Zhejiang, Hangzhou, China.

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|May 31, 2024
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This study explores how humans model the world using pictures and concepts. It investigates how hidden structures influence our understanding of semantics versus probability, and suggests emotions can regulate cognition.

Keywords:
Cognitive modelEmotionOutlierProbabilityRepresentationalismSemantics

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Area of Science:

  • Cognitive Science
  • Epistemology
  • Computational Linguistics

Background:

  • Humans utilize visual representations to model the external world, forming concepts through the mapping of pictorial structures to mental spaces.
  • The epistemological debate on whether concepts are inherently probabilistic or certain remains a key area of inquiry.

Purpose of the Study:

  • To address the probabilistic versus certain nature of concepts using a novel IG and pull anti algorithm.
  • To elucidate the distinctions between macro and micro levels, and semantics and probability, by examining hidden structural properties.

Main Methods:

  • Development and application of an "IG and pull anti" algorithm to analyze conceptual structures.
  • Investigation of hidden structural characters to differentiate between semantic and probabilistic representations.
  • Analysis of symmetry and asymmetry within the model to understand the role of attention.

Main Results:

  • The study differentiates between macro/micro levels and semantics/probability by analyzing hidden structures.
  • Attention's importance is highlighted through the interplay of symmetry and asymmetry, revealing mechanisms of chaos and collapse.
  • Representationalism is deemed incomplete due to subject-object expression, yet consensus is reached via representational objectivity.

Conclusions:

  • Emotions are proposed as a potential regulatory mechanism for cognitive processes.
  • The findings offer a framework for understanding concept formation and the subjective-objective dichotomy in human cognition.