SKU/Artículo: AMZ-B0F74K1TWN
Beyond Binary: Rediscovering Algorithmic and Non-Binary Computation to Master Artificial Intelligence
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Paperback
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En stock
En stock
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0.15 kg
0.15 kg
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Sí
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Nuevo
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Amazon
Amazon
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USA
USA
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- Beyond Binary: Rediscovering Algorithmic and Non-Binary Computation to Master Artificial IntelligenceIn this thought-provoking essay, the author critically examines the limitations of the binary computational paradigm dominant in Western digital technology, proposing a rediscovery of alternative computational models—particularly the rich, yet overlooked, algorithmic and non-binary traditions developed in the Soviet Union.Exploring historical, epistemological, and strategic perspectives, this essay reveals how the Western reliance on binary logic, Boolean algebra, and von Neumann architecture has imposed cognitive constraints, limiting our ability to fully master artificial intelligence (AI). In contrast, Soviet computational traditions, influenced by cybernetics, constructive mathematics, and symbolic logic, emphasized algorithmic reasoning and systemic feedback, paving the way for a deeper and more robust understanding of intelligence.Structured across eight engaging sections, the essay revisits pioneering Soviet computational concepts such as the Setun ternary computer, balanced ternary logic, and algorithmic approaches advanced by influential figures like Kolmogorov, Glushkov, and Kantorovich. It explores contemporary applications in neuromorphic hardware, neuro-symbolic AI, and systemic feedback models, demonstrating the pressing relevance of these ideas in today's global AI race involving the US, China, Russia, and Europe.Ultimately, the author advocates for a polyphonic computational model, integrating symbolic, statistical, systemic, and embodied intelligence to achieve strategic autonomy, computational pluralism, and deeper mastery over artificial intelligence. More than a technical shift, this vision is a civilisational imperative, calling for an algorithmic renaissance essential to navigating our complex, technologically mediated future.This insightful essay invites readers to reconsider foundational assumptions about intelligence, technology, and strategic governance, suggesting that true innovation in AI may not come from faster processors or bigger datasets, but from embracing forgotten computational architectures and rethinking intelligence itself.
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AR$16.840
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AR$11.615
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