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The illusion enginethe quest for machine consciousness /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The illusion engineby Kristina Šekrst.
Reminder of title:	the quest for machine consciousness /
Author:	Šekrst, Kristina.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xviii, 305 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligencePhilosophy.
Online resource:	https://doi.org/10.1007/978-3-032-05562-0
ISBN:	9783032055620$q(electronic bk.)

The illusion enginethe quest for machine consciousness /
Šekrst, Kristina.

The illusion enginethe quest for machine consciousness /[electronic resource] :by Kristina Šekrst. - Cham :Springer Nature Switzerland :2025. - xviii, 305 p. :ill., digital ;24 cm.

Preface -- Acknowledgements -- Part I: What Minds Are Made of -- Chapter 1. Introduction -- Chapter 2. The Mind and the Body -- Chapter 3. Let's Get Physical -- Chapter 4. Cybernetics -- Chapter 5. Artificial General Intelligence -- Part II: How Machines Think -- Chapter 6. The Imitation Game -- Chapter 7. Computation -- Chapter 8. Neural Networks and Machine Learning -- Chapter 9. Deep Learning -- Chapter 10. Large Language Models -- Part III: Why Consciousness Matters -- Chapter 11. Consciousness -- Chapter 12. Hallucinations -- Chapter 13. Machine Consciousness -- Part IV: What Comes Next -- Chapter 14. Explaining AI -- Chapter 15. Quantum Minds -- Chapter 16. Artificial Minds, Human Ethics -- Chapter 17. Hard Problem of Consciousnesses -- Index.

This textbook opens with a simple question: what does it mean for a machine to think? Bridging philosophy, cognitive science, cybernetics, and machine learning, it connects contemporary advancements in artificial intelligence with foundational debates about mind, perception, and truth. By examining the capabilities and limitations of AI systems - including the phenomenon of AI hallucinations - it interrogates whether machines can truly 'understand' or if their intelligence is ultimately an illusion. This interdisciplinary textbook offers a timely exploration of the evolving relationship between humans and intelligent systems, shedding light on how AI challenges and reframes our understanding of cognition, knowledge, and the nature of intelligence itself and contains helpful key concept lists and summaries making it of great use to graduate students and professionals.

ISBN: 9783032055620$q(electronic bk.)

Standard No.: 10.1007/978-3-032-05562-0doiSubjects--Topical Terms:

274773
Artificial intelligence
--Philosophy.

LC Class. No.: Q3347

Dewey Class. No.: 006.301

The illusion enginethe quest for machine consciousness /
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505 0 $a Preface -- Acknowledgements -- Part I: What Minds Are Made of -- Chapter 1. Introduction -- Chapter 2. The Mind and the Body -- Chapter 3. Let's Get Physical -- Chapter 4. Cybernetics -- Chapter 5. Artificial General Intelligence -- Part II: How Machines Think -- Chapter 6. The Imitation Game -- Chapter 7. Computation -- Chapter 8. Neural Networks and Machine Learning -- Chapter 9. Deep Learning -- Chapter 10. Large Language Models -- Part III: Why Consciousness Matters -- Chapter 11. Consciousness -- Chapter 12. Hallucinations -- Chapter 13. Machine Consciousness -- Part IV: What Comes Next -- Chapter 14. Explaining AI -- Chapter 15. Quantum Minds -- Chapter 16. Artificial Minds, Human Ethics -- Chapter 17. Hard Problem of Consciousnesses -- Index.
520 $a This textbook opens with a simple question: what does it mean for a machine to think? Bridging philosophy, cognitive science, cybernetics, and machine learning, it connects contemporary advancements in artificial intelligence with foundational debates about mind, perception, and truth. By examining the capabilities and limitations of AI systems - including the phenomenon of AI hallucinations - it interrogates whether machines can truly 'understand' or if their intelligence is ultimately an illusion. This interdisciplinary textbook offers a timely exploration of the evolving relationship between humans and intelligent systems, shedding light on how AI challenges and reframes our understanding of cognition, knowledge, and the nature of intelligence itself and contains helpful key concept lists and summaries making it of great use to graduate students and professionals.
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