ViewpointS: Towards a collective brain
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 granularity. 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.
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dig-cirad-fr-5896312020-02-17T13:26:38Z http://agritrop.cirad.fr/589631/ http://agritrop.cirad.fr/589631/ ViewpointS: Towards a collective brain. Lemoisson Philippe, Cerri Stefano A.. 2018. In : Computational collective intelligence: 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part I. Nguyen Ngoc Thanh (ed.), Pimenidis Elisa (ed.), Zaheer Khan (ed.), Trawiski Bogdan (ed.). Cham : Springer, 3-12. (Lecture Notes in Artificial Intelligence, 11055) ISBN 978-3-319-98442-1 International Conference on Computational Collective Intelligence (ICCCI 2018), Bristol, Royaume-Uni, 5 Septembre 2018/7 Septembre 2018.https://doi.org/10.1007/978-3-319-98443-8_1 <https://doi.org/10.1007/978-3-319-98443-8_1> Researchers ViewpointS: Towards a collective brain Lemoisson, Philippe Cerri, Stefano A. eng 2018 Springer Computational collective intelligence: 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part I 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 granularity. 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. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/589631/7/ID589631.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/978-3-319-98443-8_1 10.1007/978-3-319-98443-8_1 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=220126 info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-98443-8_1 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/978-3-319-98443-8_1 |
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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 granularity. 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. |
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author |
Lemoisson, Philippe Cerri, Stefano A. |
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Lemoisson, Philippe Cerri, Stefano A. ViewpointS: Towards a collective brain |
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Lemoisson, Philippe Cerri, Stefano A. |
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Lemoisson, Philippe |
title |
ViewpointS: Towards a collective brain |
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ViewpointS: Towards a collective brain |
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ViewpointS: Towards a collective brain |
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ViewpointS: Towards a collective brain |
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ViewpointS: Towards a collective brain |
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viewpoints: towards a collective brain |
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Springer |
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http://agritrop.cirad.fr/589631/ http://agritrop.cirad.fr/589631/7/ID589631.pdf |
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AT lemoissonphilippe viewpointstowardsacollectivebrain AT cerristefanoa viewpointstowardsacollectivebrain |
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