03522nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153050001400166072001600180072002300196072001500219100007700234245011100311250001800422264008200440300006400522336002600586337002600612338003600638347002400674490003300698505015400731520162000885650002902505650003202534650002902566650003402595650002902629650003202658650006102690700007802751710003402829773002602863776003602889776003602925830003302961856004602994978-3-662-68290-6DE-He21320251030111757.0cr nn 008mamaa240331s2024    gw |    s    |||| 0|eng d  a97836626829067 a10.1007/978-3-662-68290-62doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 aMainzer, Klaus.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aLimits of AI - theoretical, practical, ethicalh[electronic resource] /cby Klaus Mainzer, Reinhard Kahle.  a1st ed. 2024. 1aBerlin, Heidelberg :bSpringer Berlin Heidelberg :bImprint: Springer,c2024.  aXII, 158 p. 22 illus., 5 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aTechnik im Fokus,x2194-07890 aThe Concept of Artificial Intelligence -- Practical limits -- Theoretical limits -- Conceptual boundaries -- Prospects for Hybrid AI -- Bibliography.  aArtificial 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. About the Authors Klaus 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. 0aArtificial intelligence. 0aComputational intelligence. 0aEngineering mathematics. 0aEngineeringxData processing.14aArtificial Intelligence.24aComputational Intelligence.24aMathematical and Computational Engineering Applications.1 aKahle, Reinhard.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978366268289008iPrinted edition:z9783662682913 0aTechnik im Fokus,x2194-078940uhttps://doi.org/10.1007/978-3-662-68290-6