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Open access Oct 2026

Agency, Cognition and Mathematical Learning in Agentic Human–AI Ecosystems

Background The rise of artificial intelligence systems that can make their own goals plan several steps and take initiative in tasks that involve people is changing how students learn math. Earlier technology was mostly a tool thatwaited for instructions. Currently, agentic AI systems are becoming increasingly popular....

Ruhit Bardhan, Suman Das, G. A. Ganati et al. · 0 citations
Open access Sep 2026

Anti-Fuzzy Hypergraphs and Superhypergraphs: Max-Oriented Uncertainty Models for Higher-Order and Hierarchical Networks

This work introduces anti-fuzzy hypergraphs and anti-fuzzy superhypergraphs, formulate their mathematical definitions, and establish basic well-definedness and canonical representation results that provide a unified foundation for max-based uncertainty modeling in higher-order and hierarchical network structures.

Takaaki Fujita, Ajoy Kanti Das, Suman Das et al. · 1 citation

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