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May 2, 2026Pattern Recognition and Image Analysis0 citations

Cognitive Modeling and Representation of Causal Reasoning on the Spot Apparatus

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NSN. A. Simonov

Key Points

  • This research aims to explore how a mathematical model and spot apparatus can effectively represent semantic information and cognitive reasoning.
  • Utilized a mathematical model based on visual representation of spots to analyze cognitive processes.
  • Examined the spatial properties shared between mental imagery and the spot model.
  • Analyzed non-monotonic reasoning capabilities within the cognitive model framework.
  • Demonstrated that the spot model can successfully represent semantic information through cognitive imagery.
  • Evidence suggests the model effectively simulates reasoning changes with new information.
  • Proposed intelligent systems can engage in figurative thinking through this model.

Abstract

In this paper, the feasibility of using a mathematical model and the apparatus of spots to represent semantic information and form a cognitive model based on mental imagery has been studied. Adequacy of using the spot model has been determined by the elementary spatial properties inherent in both imagery and spots. The spot apparatus also provides the ability to model reasoning processes, including non-monotonic reasoning, in which conclusions are drawn based on existing knowledge, and the emergence of new information can alter these conclusions. The proposed model opens up prospects for creating intelligent systems capable of both representing semantic information in imaginative form and simulating the processes of figurative thinking.

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Cite This Study

N. A. Simonov (2025) studied this question.

synapsesocial.com/papers/69f593f271405d493affebfdhttps://doi.org/10.1134/s1054661825701068
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