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Herausgeber: 
  • Ranjeev Mittu
  • William F. Lawless
  • Thomas A. McDermott
  • Thomas Shortell
  • Donald A. Sofge
  • Systems Engineering and Artificial Intelligence 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  November 2021  
    Genre:  EDV / Informatik 
     
    ArtificialIntelligence / Autonomoushuman-machineteams / DataandInformationFusionSystems / ManagementofEmergenceinSystems / Mensch-Computer-Interaktion / SystemsEngineering
    ISBN:  9783030772826 
    EAN-Code: 
    9783030772826 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 37 mm 
    Gewicht:  1033 gr 
    Seiten:  584 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams-where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

      



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