A conceptual framework over contextual analysis of concept learning within human-machine interplays

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Abstract

This research provides a contextual description concerning existential and structural analysis of ‘Relations’ between human beings and machines. Subsequently, it will focus on conceptual and epistemological analysis of (i) my own semantics-based framework [for human meaning construction] and of (ii) a well-structured machine concept learning framework. Accordingly, I will, semantically and epistemologically, focus on linking those two frameworks for logical analysis of concept learning in the context of human-machine interrelationships. It will be demonstrated that the proposed framework provides a supportive structure over the described contextualisation of ‘relations’ between human beings and machines within concept learning processes.

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Badie, F. (2017). A conceptual framework over contextual analysis of concept learning within human-machine interplays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10108 LNCS, pp. 65–74). Springer Verlag. https://doi.org/10.1007/978-3-319-52836-6_9

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