Artificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable.
"Sinopsis" puede pertenecer a otra edición de este libro.
About the AuthorsKlaus Mainzer teaches as Emeritus of Excellence at the Technical University of Munich and as Senior Professor at the Carl Friedrich von Weizsäcker Center at the University of Tübingen. He is President of the European Academy of Sciences and Arts. His research focuses on complexity and computability theory, foundations of artificial intelligence, philosophy of science and technology, future issues of the technical-scientific world.
Reinhard Kahle is Carl Friedrich von Weizsäcker Endowed Professor of Theory and History of Science at the University of Tübingen. His research interests include proof theory and the history and philosophy of modern mathematical logic, foundations of computer science and the philosophical reflection of science as currently propagated in artificial intelligence.
Artificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable.
Reinhard Kahle is Carl Friedrich von Weizsäcker Endowed Professor of Theory and History of Science at the University of Tübingen. His research interests include proof theory and the history and philosophy of modern mathematical logic, foundations of computer science and the philosophical reflection of science as currently propagated in artificial intelligence.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 14,90 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoEUR 6,83 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoLibrería: Buchpark, Trebbin, Alemania
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 170 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 42817639/2
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9783662682890
Cantidad disponible: Más de 20 disponibles
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Limits of AI - Theoretical, Practical, Ethical 0.39. Book. Nº de ref. del artículo: BBS-9783662682890
Cantidad disponible: 5 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 47094952-n
Cantidad disponible: Más de 20 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable. Nº de ref. del artículo: 9783662682890
Cantidad disponible: 1 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 47094952
Cantidad disponible: Más de 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In English. Nº de ref. del artículo: ria9783662682890_new
Cantidad disponible: Más de 20 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 170 pages. 7.99x5.00x0.37 inches. In Stock. Nº de ref. del artículo: x-3662682893
Cantidad disponible: 2 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable. 172 pp. Englisch. Nº de ref. del artículo: 9783662682890
Cantidad disponible: 1 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 47094952
Cantidad disponible: Más de 20 disponibles