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Download full textAnsari, Fazel; Hold, Philipp; Mayrhofer, Walter; Schlund, Sebastian; Sihn, Wilfried – International Association for Development of the Information Society, 2018
This paper explores the concept of mutual (reciprocal) learning as an enabler of the emergence of a collective human-machine intelligence across a smart factory. The interlinking of digital profiles of humans and machines permits the identification and measurement of learning outcomes through participating in and performing of (shared) tasks. To…
Descriptors: Measurement, Identification, Outcomes of Education, Artificial Intelligence
