This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.
This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Sam Freed is a researcher in the COGS (Centre for Cognitive Science) at the University of Sussex. This centre spans departments as diverse as neuroscience and philosophy, psychology, and computer science. Freed's background includes a career as a technologist starting as a research assistant in computer science at the age of 15 (at the Hebrew University, Jerusalem), work on Lotus 1-2-3 during Ireland's 1990s boom, and managing international projects in internet security during the .com bubble. His education includes a BA in philosophy and comparative religion, an MA in cognitive science (both from the Hebrew University), and a PhD in informatics (from Sussex). His work centers on the relevance of the humanities to technology and on the historical analysis of the mindset behind current technology.
Inhaltsangabe
0. Introduction. PART I. Intelligence in Computers, Humans and Societies. 1. Artificial Intelligence as It Stands. 2. Current Critiques of Artificial Intelligence. 3. Human Thinking: Anxiety and Pretence. 4. Prevailing Prejudices Pertaining to Artificial Intelligence. PART II. An Alternative: AI, Subjectivity and Introspection. 5. Central Argument Outline. Main Term: "Anthropic AI." 7. Main Term: "Introspection." 8. Introspection is Ligitimate. 9. Introspection is Likely to Be Profitable. PART III Getting Practical. 10. Details and How to Use Introspection for Artificial Intelligence. 11. Examples. 12. A More Sophisticated Example. 13. Summary, Consequences, Conclusion.
0. Introduction. PART I. Intelligence in Computers, Humans and Societies. 1. Artificial Intelligence as It Stands. 2. Current Critiques of Artificial Intelligence. 3. Human Thinking: Anxiety and Pretence. 4. Prevailing Prejudices Pertaining to Artificial Intelligence. PART II. An Alternative: AI, Subjectivity and Introspection. 5. Central Argument Outline. Main Term: "Anthropic AI." 7. Main Term: "Introspection." 8. Introspection is Ligitimate. 9. Introspection is Likely to Be Profitable. PART III Getting Practical. 10. Details and How to Use Introspection for Artificial Intelligence. 11. Examples. 12. A More Sophisticated Example. 13. Summary, Consequences, Conclusion.
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