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Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control
Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control
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This volume serves as the technical analysis to a report concerning the potential for artificial intelligence systems to assist in Air Force command and control (C2). The authors present their analysis of the problem characteristics and solution capabilities described in Volume 1. They provide details about the expert panel used to gather data and three technical case studies that demonstrate a wide range of solutions to various C2 problems.
  • Leidėjas:
  • ISBN-10: 1977407102
  • ISBN-13: 9781977407108
  • Formatas: 15.2 x 22.9 x 0.6 cm, minkšti viršeliai
  • Kalba: Anglų

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This volume serves as the technical analysis to a report concerning the potential for artificial intelligence systems to assist in Air Force command and control (C2). The authors present their analysis of the problem characteristics and solution capabilities described in Volume 1. They provide details about the expert panel used to gather data and three technical case studies that demonstrate a wide range of solutions to various C2 problems.

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  • Autorius: Matthew Walsh
  • Leidėjas:
  • ISBN-10: 1977407102
  • ISBN-13: 9781977407108
  • Formatas: 15.2 x 22.9 x 0.6 cm, minkšti viršeliai
  • Kalba: Anglų

This volume serves as the technical analysis to a report concerning the potential for artificial intelligence systems to assist in Air Force command and control (C2). The authors present their analysis of the problem characteristics and solution capabilities described in Volume 1. They provide details about the expert panel used to gather data and three technical case studies that demonstrate a wide range of solutions to various C2 problems.

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