- ホーム
- > 洋書
- > 英文書
- > Philosophy
Full Description
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.
Contents
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.
