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Beschreibung

This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025.

The 72 full papers included in this book were carefully reviewed and selected from 179 submissions. They were organized in topical sections as follows: novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics,
safety, formal mathematical foundations and philosophy of AGI.

This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025.

The 72 full papers included in this book were carefully reviewed and selected from 179 submissions. They were organized in topical sections as follows: novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics,
safety, formal mathematical foundations and philosophy of AGI.

Details
Erscheinungsjahr: 2025
Fachbereich: Hardware
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Inhalt: XX
395 S.
12 s/w Illustr.
53 farbige Illustr.
395 p. 65 illus.
53 illus. in color.
ISBN-13: 9783032007995
ISBN-10: 3032007992
Sprache: Englisch
Herstellernummer: 89575442
Einband: Kartoniert / Broschiert
Redaktion: Iklé, Matthew
Kolonin, Anton
Bennett, Michael
Herausgeber: Matthew Iklé/Anton Kolonin/Michael Bennett
Hersteller: Springer-Verlag GmbH
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Abbildungen: XX, 395 p. 65 illus., 53 illus. in color.
Maße: 235 x 155 x 23 mm
Von/Mit: Matthew Iklé (u. a.)
Erscheinungsdatum: 07.08.2025
Gewicht: 0,628 kg
Artikel-ID: 133777578

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