Category: AI
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Graph Neural Networks and the Shape of Thought
Computational Principles of Relational Learning and Structural Intelligence Abstract Intelligence is inherently structural. It does not emerge from isolated inputs, but from the patterns of connection between them: networks of entities, relationships, hierarchies, and transformations. In the human brain, thought unfolds through such structure: semantic associations, causal chains, conceptual graphs,…
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Mind in Code: Structural Design of Agentic AI for Learning, Action, and Evolution
Cognition, Autonomy, and Interaction in Intelligent Systems Introduction Artificial intelligence is undergoing a structural metamorphosis. The field is shifting from static, single-task models to systems capable of autonomous behavior, goal-directed reasoning, and interactive learning. At the forefront of this transformation is the rise of Agentic AI: computational systems that perceive their environment, form internal…
