Buch, Englisch, 188 Seiten, Format (B × H): 138 mm x 216 mm, Gewicht: 453 g
Buch, Englisch, 188 Seiten, Format (B × H): 138 mm x 216 mm, Gewicht: 453 g
Reihe: Philosophical Dialogues on Contemporary Problems
ISBN: 978-1-032-77535-7
Verlag: Taylor & Francis Ltd
Dialogues on Minds, Machines, and AI invites readers into a series of thought-provoking debates among three college seniors bound for graduate school: Sue, completing her double major in philosophy and cognitive science; John, a computer engineering specialist; and Amy, a psychology major. Through five engaging lunchtime conversations, these students bring their diverse perspectives to fundamental questions about consciousness, artificial intelligence, and the nature of mind.
The dialogues seamlessly blend discussions of popular science fiction films with critical examinations of recent AI developments—including ChatGPT, deep fakes, and other emerging technologies. Readers will explore foundational concepts at the intersection of human consciousness and machine learning: Alan Turing's influential "imitation game," John Searle's provocative "Chinese room argument," computational theories of mind, robot creativity, and the modularity of mind hypothesis. Rather than advocating for any particular viewpoint, these conversations illuminate the strengths, weaknesses, and implications of each perspective.
Perfect for undergraduate students and curious minds from all backgrounds, this accessible introduction to cognitive science requires no prior knowledge of philosophy or technical subjects. The book includes a comprehensive glossary and thoughtful study questions to enhance understanding, while a carefully curated bibliography enables readers to explore specific topics in greater depth.
Zielgruppe
Academic, General, Undergraduate Advanced, and Undergraduate Core
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction Day 1. Early Advancements in AI and Cognitive Science Day 2. The Chinese Room Day 3. Connectionism and Deep Learning Day 4. Metaphysical Issues in AI Day 5. Ethical Issues in AI Glossary Study Questions