ViewpointS: a collective brain

Lemoisson Philippe, Cerri Stefano A.. 2020. ViewpointS: a collective brain. In : Brain function assessment in learning: Second International Conference, BFAL 2020, Heraklion, Crete, Greece, October 9–11, 2020, Proceedings. Frasson Claude (ed.), Bamidis Panagiotis (ed.), Vlamos Panagotis (ed.). IIS. Cham : Springer, 34-44. (Lecture Notes in Artificial Intelligence, 12462) ISBN 978-3-030-60734-0 International Conference on Brain Function Assessment in Learning (BFAL 2020). 2, Crète, Grèce, 9 Octobre 2020/11 Octobre 2020.

Note générale : Le congrès s'est tenu en ligne

Résumé : Understanding and forecasting brain functions is the major challenge of our times. The focus of this endeavor is understanding and forecasting learning events, such as the dynamic adaptation of beams connecting neuronal cards in Edelman's Theory of Neuronal Group Selection (TNGS). We have conceived, designed and evaluated a new paradigm for constructing and using collective knowledge byWeb interactions that we called ViewpointS. By exploiting the similarity with the 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 brain functions as well as of collective wisdom 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.

Mots-clés libres : ViewpointS, Collaborative knowledge acquisition, Knowledge graph, Collective brain

Auteurs et affiliations

• Lemoisson Philippe, CIRAD-ES-UMR TETIS (FRA)
• Cerri Stefano A., FBK (ITA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/598056/)

Métriques

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