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Synopsis
What if the future of AI is not defined by bigger models alone, but by whether machines can truly know?
From Epistemic Logic to Machine Self-Awareness explores one of the most important frontiers in artificial intelligence: the shift from raw capability to epistemic intelligence.
As today’s AI systems become more fluent, more powerful, and more humanlike in their outputs, a deeper question emerges beneath the surface: Do machines actually understand anything, or are they only predicting what comes next?
This book takes readers on a compelling intellectual journey through the logic of knowledge, belief, uncertainty, self-reflection, and artificial minds. Blending philosophy, computer science, cognitive science, and AGI theory, it examines what it would take for machines not only to generate answers, but to represent knowledge, revise beliefs, detect ignorance, reason about other minds, and reflect on themselves.
Inside, you’ll explore:
the difference between knowledge and belief
why prediction is not the same as understanding
how epistemic logic became foundational to AI and computer science
why today’s systems still struggle with hallucinations, overconfidence, and uncertainty
how reflective reasoning, self-modeling, and theory of mind may shape the next generation of intelligent machines
why alignment is ultimately a problem of knowledge, misunderstanding, and hidden assumptions
what AI reveals about human consciousness, self-deception, and the nature of intelligence itself
At once accessible and intellectually rich, From Epistemic Logic to Machine Self-Awareness is for readers interested in artificial intelligence, AGI, philosophy of mind, cognitive science, and the future of human-machine intelligence.
This is not just a book about what AI can do.
It is a book about what it means to know.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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From Epistemic Logic to Machine Self-Awareness (Paperback)
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Paperback. Etat : new. Paperback. What if the future of AI is not defined by bigger models alone, but by whether machines can truly know?From Epistemic Logic to Machine Self-Awareness explores one of the most important frontiers in artificial intelligence: the shift from raw capability to epistemic intelligence.As today's AI systems become more fluent, more powerful, and more humanlike in their outputs, a deeper question emerges beneath the surface: Do machines actually understand anything, or are they only predicting what comes next?This book takes readers on a compelling intellectual journey through the logic of knowledge, belief, uncertainty, self-reflection, and artificial minds. Blending philosophy, computer science, cognitive science, and AGI theory, it examines what it would take for machines not only to generate answers, but to represent knowledge, revise beliefs, detect ignorance, reason about other minds, and reflect on themselves.Inside, you'll explore: the difference between knowledge and beliefwhy prediction is not the same as understandinghow epistemic logic became foundational to AI and computer sciencewhy today's systems still struggle with hallucinations, overconfidence, and uncertaintyhow reflective reasoning, self-modeling, and theory of mind may shape the next generation of intelligent machineswhy alignment is ultimately a problem of knowledge, misunderstanding, and hidden assumptionswhat AI reveals about human consciousness, self-deception, and the nature of intelligence itselfAt once accessible and intellectually rich, From Epistemic Logic to Machine Self-Awareness is for readers interested in artificial intelligence, AGI, philosophy of mind, cognitive science, and the future of human-machine intelligence.This is not just a book about what AI can do.It is a book about what it means to know. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798249991937
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From Epistemic Logic to Machine Self-Awareness (Paperback)
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Paperback. Etat : new. Paperback. What if the future of AI is not defined by bigger models alone, but by whether machines can truly know?From Epistemic Logic to Machine Self-Awareness explores one of the most important frontiers in artificial intelligence: the shift from raw capability to epistemic intelligence.As today's AI systems become more fluent, more powerful, and more humanlike in their outputs, a deeper question emerges beneath the surface: Do machines actually understand anything, or are they only predicting what comes next?This book takes readers on a compelling intellectual journey through the logic of knowledge, belief, uncertainty, self-reflection, and artificial minds. Blending philosophy, computer science, cognitive science, and AGI theory, it examines what it would take for machines not only to generate answers, but to represent knowledge, revise beliefs, detect ignorance, reason about other minds, and reflect on themselves.Inside, you'll explore: the difference between knowledge and beliefwhy prediction is not the same as understandinghow epistemic logic became foundational to AI and computer sciencewhy today's systems still struggle with hallucinations, overconfidence, and uncertaintyhow reflective reasoning, self-modeling, and theory of mind may shape the next generation of intelligent machineswhy alignment is ultimately a problem of knowledge, misunderstanding, and hidden assumptionswhat AI reveals about human consciousness, self-deception, and the nature of intelligence itselfAt once accessible and intellectually rich, From Epistemic Logic to Machine Self-Awareness is for readers interested in artificial intelligence, AGI, philosophy of mind, cognitive science, and the future of human-machine intelligence.This is not just a book about what AI can do.It is a book about what it means to know. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798249991937
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