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Artificial General Intelligence : 14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15–18, 2021, Proceedings / / edited by Ben Goertzel, Matthew Iklé, Alexey Potapov



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Titolo: Artificial General Intelligence : 14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15–18, 2021, Proceedings / / edited by Ben Goertzel, Matthew Iklé, Alexey Potapov Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (379 pages)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Software engineering
Machine theory
Application software
Social sciences - Data processing
Computers
Artificial Intelligence
Software Engineering
Formal Languages and Automata Theory
Computer and Information Systems Applications
Computer Application in Social and Behavioral Sciences
Computing Milieux
Persona (resp. second.): GoertzelBen
IkléMatthew
PotapovAlexey
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Artificial General Intelligence -- Artificial Intelligence.-Natural language processing. Knowledge representation and reasoning -- Cognitive science -- Intelligent agents -- Multi-agent systems -- Cognitive robotics -- Computer vision -- Machine learning -- Unsupervised learning -- Reinforcement learning -- Transfer learning. Deep learning -- Neural networks. Probabilistic graphical models -- Inductive learning.
Sommario/riassunto: This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021. The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more.
Titolo autorizzato: Artificial General Intelligence  Visualizza cluster
ISBN: 3-030-93758-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910523891703321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13154