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1. |
Record Nr. |
UNISA996376748203316 |
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Titolo |
HighTech and innovation journal |
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Pubbl/distr/stampa |
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[Reggio Calabria, Italy] : , : Ital Publication, , 2020- |
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ISSN |
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Descrizione fisica |
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1 online resource (volumes) : illustrations |
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Soggetti |
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Technological innovations |
Industrial engineering - Technological innovations |
Industrial management - Technological innovations |
Innovations |
Génie industriel - Innovations |
Gestion d'entreprise - Innovations |
Periodical |
periodicals. |
Periodicals. |
Périodiques. |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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2. |
Record Nr. |
UNINA9910984582203321 |
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Autore |
Buscema Paolo Massimo |
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Titolo |
AI: A Broad and a Different Perspective / / by Paolo Massimo Buscema, Weldon A. Lodwick, Giulia Massini, Pier Luigi Sacco, Masoud Asadi-Zeydabadi, Francis Newman, Riccardo Petritoli, Marco Breda |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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9783031806001 |
9783031805998 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (112 pages) |
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Collana |
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SpringerBriefs in Computational Intelligence, , 2625-3712 |
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Altri autori (Persone) |
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LodwickWeldon A |
MassiniGiulia |
SaccoPier Luigi |
Asadi-ZeydabadiMasoud |
NewmanFrancis |
PetritoliRiccardo |
BredaMarco |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
System theory |
Control theory |
Computational Intelligence |
Artificial Intelligence |
Systems Theory, Control |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1.Introduction -- 2.Theoretical Introduction -- 3.The Myth of Big Data -- 4.Large and Powerful ANNs versus Small, Numerous, and Diverse ANNs -- 5.Specialized Nodes versus Conscious Nodes -- 6.Attention, Consciousness, and Self-awareness. |
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Sommario/riassunto |
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One of the primary objectives of this book is to highlight the profound difference between two types of AI that pursue distinct goals: emulative AI, which seeks to build machines whose output is similar to, or even superior to, that of the human brain, and investigative AI, whose |
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purpose is to make invisible information within data visible by uncovering the laws through which individual behaviors self-organize into collective behaviors. The former is better known, as it serves as a useful tool for automating human labor and generating market profits; the latter is less widely recognized but is more scientifically oriented towards saving lives (in the medical field), explaining otherwise inexplicable phenomena (in the geophysical field), and enhancing our understanding of the material and abstract world. Both are valuable yet distinct: the emulative approach generates immediate profits and creates illusions of human-like power, while the investigative approach enhances fundamental scientific research and will yield its greatest benefits over time. The investigative approach presented in this volume seeks to rebuild the bridge between humanity and nature. |
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