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Title:
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CONCEPT REPRESENTATION ANALYSIS IN THE CONTEXT OF HUMAN-MACHINE INTERACTIONS |
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Author(s):
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Farshad Badie |
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ISBN:
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978-989-8533-48-7 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Concept, Human Learning, Machine Learning, Constructivism, Constructionism, Inductive Concept Learning. |
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Type:
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Full Paper |
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First Page:
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55 |
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Last Page:
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62 |
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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 article attempts to make a conceptual and epistemological junction between human learning and machine learning. I will be concerned with specifying and analysing the structure of concepts in the common ground between a concept-based human learning theory and a concept-based machine learning paradigm. I will focus on (i) humans conceptual representations in the framework of constructivism (as an educational theory of learning and a proper model of knowing) and constructionism (as a theory for conceptualising learning) and (ii) concept representations in the framework of inductive concept learning (as an inductive machine learning paradigm). The results will support figuring out the most significant key points for constructing a conceptual linkage between a human learning theory and a machine learning paradigm. Accordingly, I will construct a conceptual ground for expressing and analysing concepts in the common ground of human and informatics sciences and in the context of human-machine interplays. |
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