Author

András Telcs

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#artificial intelligence Preprint Oct 2026

A Structural Theory of Cognitive Representation and Problem Solving,Contexts, Invariance, and the Knowledge Space

Learning and problem solving depend critically on the structure of internal representations. While many modern data-driven artificial systems achieve strong predictive performance, their learned representations often lack explicit structure for expressing abstraction, invariance, and task-relevant regularities. We prop...

A. Jakovác, András Telcs · 1 citation

#artificial intelligence Preprint Oct 2026

Cognitive Schemas, Laws and Tasks

This paper asks how explicit representations can support reusable cognitive schemas in knowledge-based problem solving. We develop a structural framework in which schemas are organized by the information and relations required for their use, rather than introduced as unrelated primitives. The framework also distinguish...

A. Jakovác, András Telcs · 0 citations