ViewpointS: towards a Collective Brain

Abstract : Tracing knowledge acquisition and linking learning events to interaction between peers is a major challenge of our times. We have conceived, designed and evaluated a new paradigm for constructing and using collective knowledge by Web interactions that we called ViewpointS. By exploiting the similarity with Edelman's Theory of Neuronal Group Selection (TNGS), we conjecture that it may be metaphorically considered a Collective Brain, especially effective in the case of trans-disciplinary representations. Far from being without doubts, in the paper we present the reasons (and the limits) of our proposal that aims to become a useful integrating tool for future quantitative explorations of individual as well as collective learning at different degrees of granu-larity. We are therefore challenging each of the current approaches: the logical one in the semantic Web, the statistical one in mining and deep learning, the social one in recommender systems based on authority and trust; not in each of their own preferred field of operation, rather in their integration weaknesses far from the holistic and dynamic behavior of the human brain.
Type de document :
Communication dans un congrès
Ngoc Thanh Nguyen; Elias Pimenidis; Zaheer Khan; Bogdan Trawiński. ICCCI: International Conference on Computational Collective Intelligence, Sep 2018, Bristol, United Kingdom. Springer Verlag, 10th International Conference on Computational Collective Intelligence, LNCS (11055), pp.3-12, 2018, 〈http://www.iccci2018.org〉. 〈10.1007/978-3-319-98443-8_1〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01865761
Contributeur : Stefano A. Cerri <>
Soumis le : samedi 1 septembre 2018 - 18:16:35
Dernière modification le : lundi 22 octobre 2018 - 09:54:03

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Philippe Lemoisson, Stefano A. Cerri. ViewpointS: towards a Collective Brain. Ngoc Thanh Nguyen; Elias Pimenidis; Zaheer Khan; Bogdan Trawiński. ICCCI: International Conference on Computational Collective Intelligence, Sep 2018, Bristol, United Kingdom. Springer Verlag, 10th International Conference on Computational Collective Intelligence, LNCS (11055), pp.3-12, 2018, 〈http://www.iccci2018.org〉. 〈10.1007/978-3-319-98443-8_1〉. 〈lirmm-01865761〉

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