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Title:
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AUTODIDACT: INTRODUCING THE CONCEPT OF MUTUAL LEARNING INTO A SMART FACTORY INDUSTRY 4.0 |
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Author(s):
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Fazel Ansari, Philipp Hold, Walter Mayrhofer, Sebastian Schlund and Wilfried Sihn |
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ISBN:
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978-989-8533-81-4 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Human Learning, Machine Learning, Human-Machine Interaction, Hybrid Learning, Industry 4.0, Collective Intelligence |
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Type:
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Full Paper |
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First Page:
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61 |
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Last Page:
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68 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 achieve this goal and ultimately to transform todays smart factory into a self-learning factory, the concept model of AUTODIDACT, underlying objectives and research questions related to mutual (reciprocal) learning are outlined. |
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