A Dynamical Framework for Cognitive Processes Based on Transformations and Semantic Equivalence
The paper presents a framework for modeling cognitive processes through a cybernetic lens. It introduces a feedback system that integrates transformation, observation, and stabilization, using a mathematical model to represent cognitive states. The authors demonstrate the framework's application in linguistic contexts, illustrating how it can model context-dependent interpretations.
- ▪The framework models cognitive processes as elements of a state space evolving through iterative updates.
- ▪It incorporates internal transformations and interpretative mappings to enforce semantic equivalence.
- ▪A computational illustration and qualitative analysis are provided to demonstrate the framework's operational character.
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Computer Science > Artificial Intelligence arXiv:2605.23942 (cs) [Submitted on 29 Apr 2026] Title:A Dynamical Framework for Cognitive Processes Based on Transformations and Semantic Equivalence Authors:Carlo Cattani, Dioneia Motta Monte-Serrat View a PDF of the paper titled A Dynamical Framework for Cognitive Processes Based on Transformations and Semantic Equivalence, by Carlo Cattani and Dioneia Motta Monte-Serrat View PDF HTML (experimental) Abstract:This paper proposes a structural and dynamical framework for modeling cognitive processes within a cybernetic perspective.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.