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- Date de réalisation : 22 Mai 2008
- Durée du programme : 56 min
- Classification Dewey : Philosophie et psychologie, Interaction sociale, communication
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- Catégorie : Conférences
- Niveau : niveau Licence (LMD)
- Disciplines : Théories sociologiques et méthodologie, Théories psychologiques, Psychologie sociale, appliquée et comparée, Politique et gouvernement
- Collections : La sagesse collective : principes et mécanismes (Collège de France)
- ficheLom : Voir la fiche LOM
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- Auteur(s) : Page Scott E.
- producteur : C.E.R.I.M.E.S. , COLLEGE DE FRANCE
- Réalisateur(s) : QUENTIN Loïc, LECAUDEY Marcel
Microfoundations of Collective Wisdom
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Collective Wisdom : Definition and Examples
The Wisdom of Crowds Reconsidered
What does Collective Wisdom have to do with Wisdom ?
Collaborative Filtering: The Wisdom of the Internet
The Optimal Design of a Constitution-making Process
The Optimal Rule of Decision-making for Areopagus: Public Voting or Apparent Consens?
Copier le code pour partager la vidéo :
Collective Wisdom : Definition and Examples
The Wisdom of Crowds Reconsidered
What does Collective Wisdom have to do with Wisdom ?
Collaborative Filtering: The Wisdom of the Internet
The Optimal Design of a Constitution-making Process
The Optimal Rule of Decision-making for Areopagus: Public Voting or ...
Group Deliberation and the Revision of Individual Judgments: A ...
Democratic Authority: A Philosophical Framework
Democratic Reason : The Mechanisms of Collective Intelligence in ...
Majorities Against Utility : Implications of the Failure of the ...
Rational Ignorance and Beyond
Wise International Decisions: The Bigger, the Wiser?
Many-Minds Arguments in Legal Theory
Reasoning as a Social Activity
Microfoundations of Collective Wisdom
La sagesse collective : principes et mécanismes
Colloque des 22-23 mai 2008, organisé par l'Institut du Monde Contemporain du Collège de France, sous la direction du Professeur Jon Elster.
Intervention de Scott Page.
In this paper, I demonstrate the microfoundations of collective wisdom. I show the benefits and limits of diverse categorizations and show the power of predictive models based on diverse perspectives. The model demonstrates both the potential for the wisdom of crowds and the possibility that the crowd may make systematic mistakes.
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