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The Cybernetics of Learning in the Age of AI

A White Paper by LC Singh
(Originally published in the early 1990s in Computer and Communications (C & C), this revised edition explores the framework’s application in AI, digital transformation, and corporate intelligence.)

In today’s AI-driven world, learning extends beyond human cognition to machine intelligence, corporate decision-making, and digital ecosystems. AI systems are now evolving through feedback loops, just as humans refine their understanding through observation and experience.

The Cybernetics of Learning, first published in Computer and Communications (C & C) in the early 1990s, introduced a model that explains how knowledge acquisition is influenced by motivation, bias, observation, and absorption.

Read the full whitepaper to explore the future of AI-driven learning.

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