L’actualité sur l’Intelligence Collective

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Catalogues d’articles scientifiques

  • Google Scholar

  • SAGE Publications: Collective Intelligence: Table of Contents Table of Contents for Collective Intelligence. List of articles from both the latest and ahead of print issues.

  • OpenAlex

    • Generative AI and collaboration: opportunities for cultivating collective intelligence
      by RSS-Bridge on 2025-10-10 at 12:00 AM

      Abstract The transformative potential of artificial intelligence (AI) is reshaping collaboration within organizations, evoking both excitement and concern. As an individual production technology, AI risks fragmenting workflows, isolating workers, and undermining the human-centered collaboration vital for creativity and innovation. However, as a coordination technology, AI holds enormous promise for enhancing collective intelligence. By considering the fundamental processes underlying intelligence in any system—including reasoning, memory, and attention—we can envision ways AI can overcome traditional barriers to effective collaboration to elevate collective intelligence. This paper explores how AI can help clarify team goals and resolve conflicting motives to enhance collective reasoning; provide personalized knowledge assistance, connect complementary expertise, and mitigate biases to augment collective memory; and facilitate attention to priorities and manage asynchronous and synchronous coordination to optimize the use of collective attention. Despite these opportunities, integrating AI into collaboration presents challenges, including potential impacts on trust, cohesion, and ethical concerns. The paper outlines a research agenda to address these challenges and explore AI’s role in fostering inclusive, efficient, and innovative collaboration. By leveraging generative AI responsibly, organizations can amplify human abilities, creating synergistic outcomes that redefine the future of work.

    • Harnessing Crowdsourced Innovation for Sustainable Impact: The Role of Digital Platforms in Mobilising Collective Intelligence
      by RSS-Bridge on 2025-10-08 at 12:00 AM

      This paper explores how digital crowdsourcing platforms communicate sustainability-oriented innovation and mobilise stakeholder engagement. Through a directed content analysis of three platforms (OpenIDEO, San Francisco, CA, USA; Enel Innovation Hub, Rome, Italy; and InnoCentive, Waltham, MA, USA). The study examines communication strategies, participation models, and alignment with the United Nations Sustainable Development Goals (SDGs). Results show that communication is not neutral but functions as a governance mechanism shaping who participates, how innovation is framed, and what outcomes emerge. OpenIDEO fosters inclusive co-creation and SDG alignment, Enel Innovation Hub highlights technical readiness and energy transition, and InnoCentive relies on rewards and competition. Word-frequency analysis confirms these emphases, while interpretation through Motivation Crowding Theory, Social Exchange Theory, and Transaction Cost Theory explains how motivational framing, legitimacy signals, and participation structures affect engagement. The study contributes to research on open innovation and platform studies by demonstrating the constitutive role of communication in enabling or constraining sustainable collective action. Practical implications are outlined for platform designers, marketers, and policymakers seeking to align digital infrastructures with systemic sustainability goals.

    • Collective Intelligence: On the Promise and Reality of Multi-Agent Systems for AI-Driven Scientific Discovery
      by RSS-Bridge on 2025-10-08 at 12:00 AM

      Modern scientific progress is increasingly driven by collaborative endeavors that leverage specialized expertise and constructive peer critique. Multi-agent systems (MAS) offer a robust framework to emulate these collaborative dynamics inherent to human researcher teams by combining distributed information processing with discussion-driven validation, enabling collective intelligence that exceeds the capabilities of individual agents in addressing complex interdisciplinary challenges. We introduce an application-oriented taxonomy that maps canonical stages of the research workflow to both the promise and the current reality of MAS in scientific discovery, providing a coherent foundation for understanding, evaluating, and advancing autonomous AI co-scientists. We highlight the distinctive advantages of MAS over single-agent approaches, identify key bottlenecks limiting current deployments, and outline critical research frontiers to bridge the gap between potential and practice. We argue that MAS hold transformative promise to move beyond the role of assistive tools, evolving into autonomous co-scientists capable of parallel exploration of vast knowledge spaces and robust validation through diverse perspectives, thereby advancing open-ended scientific research in partnership alongside human investigators.

    • Scaffolding Minds: Human Collective Intelligence through Space, Body and Material Symbols
      by RSS-Bridge on 2025-10-04 at 12:00 AM

      Human collective intelligence—the capacity of groups to solve problems, make decisions, andacquire knowledge beyond individual capabilities—is here understood as an emergentphenomenon that evolved in our lineage from a distinct trajectory of epistemic nicheconstruction (ENC), and progressively sustained the latter. Humans systematically alter theirinformational landscapes in materially visible ways by creating enduring spatial andartefactual scaffolds for improved cognitive performance and social coordination. In thispaper, we propose a set of criteria to define ENC and track its emergence in the archaeologicalrecord. These criteria highlight the importance of persistent, publicly accessible, andevolutionarily incremental modifications that sustained behavioural coordination amongindividuals in space and time. We apply this framework to three major domains of materialculture: the structuring of space for collective action, the culturalization of the human body,and the emergence of exosomatic artefacts to store coded information. We argue that thesepractices did not merely externalise knowledge but progressively transformed materialculture and environments into targeted epistemic infrastructures able to scaffold and amplifygroup-level performances characteristic of collective intelligence, thus shedding light on theevolution of human cognition and social organization.

    • Human Creativity Emerging and Enduring Through Embodied–Collective Intelligence
      by RSS-Bridge on 2025-10-02 at 12:00 AM

      Creativity in human societies is sustained not by isolated minds but by embodied, collective intelligence. Using music as a model system, we show that creativity rests on the dynamic tuning of uncertainty: moderate, time-varying surprise—often felt as internal bodily sensations—sparks exploration, while group synchrony stabilizes what is new. Because creativity itself is value-neutral, its fate depends on the co-occurrence of ethics, morality, and empathy. Ethical norms bound admissible deviation, and empathic perspective-taking—amplified by bodily and physiological coupling—acts as a social “precision weight” that admits, reshapes, or rejects novelty. From these ingredients emerges field-level intelligence: a process in which groups preserve diversity, selectively integrate deviations, and maintain “just-right” uncertainty under partially connected social structures. This framing explains the resilience of creativity across generations and sets an agenda for empirical work: quantify uncertainty dynamics in embodied interaction, test how ethical and empathic cues regulate admissibility, and identify network conditions that best sustain socially shared creativity. This framing clarifies why creativity endures and suggests a concrete empirical agenda.

Laboratoires

Vidéos

  • Fouloscopie

    • Combien faut-il de personnes pour lancer UNE RÉVOLUTION ? ✊✊✊
      by Fouloscopie on 2025-10-09 at 9:22 PM

      Grande nouvelle : je suis en train de préparer la deuxième saison des expériences participatives ! Inscrivez-vous ici pour être informé du lancement de la campagne, soutenir le projet et participer aux expériences : ➡️ https://www.kisskissbankbank.com/fr/projects/fouloscopie-100x-saison2 ⬅️Rendez-vous à la rentrée pour le démarrage du projet !Bonne vacances !

    • Les BIAIS COGNITIFS, expliqués simplement
      by Fouloscopie on 2025-10-08 at 10:06 AM

      Découvrez ici le programme de la Fête de la Science, et toutes les animations organisées à travers la France 👉 https://www.fetedelascience.fr/programmeComment fonctionne l’intuition ? Pourquoi nous trompe-t-elle parfois ? Dans cette vidéo, on voyage à travers les illusions, les biais cognitifs et les découvertes de Kahneman & Tversky, qui ont révolutionnées notre compréhension de la pensée humaine.Pour soutenir la chaîne :➡️ sur Tipeee : https://fr.tipeee.com/fouloscopie➡️ sur KissKiss : https://www.kisskissbankbank.com/fr/projects/fouloscopieEt vous pouvez déjà pré-commander mon dernier livre qui sortira le 9 octobre ! ➡️ https://allary-editions.fr/products/mehdi-moussaid-a-t-on-besoin-dun-chef?srsltid=AfmBOood_IeyEKZzRJHfrYqDGEAgJ9T1eyG5-gDoXzFzOTOBtVUG2u7X➡️ Mes deux laboratoires de recherche :– Institut Max Planck (Berlin): https://www.mpib-berlin.mpg.de/research/research-centers/adaptive-rationality– Ecole d’intelligence collective (Rabat) : https://sci.um6p.ma/research/our-people/faculty/➡️ Ma thèse de doctorat : http://mehdimoussaid.com/TheseMoussaid.pdfEnfin quelques références bibliographiques :** La plupart des exemples de ma vidéos sont tirés de ces deux (excellents) livres – incontournables si vous vous intéressez au sujet : Ariely, D. (2008). Predictably irrational. HarperKahneman, D. (2011). Thinking, fast and slow. macmillan.** La publication d’Edward Adelson sur les illusions d’optiques : Adelson, E. H. (1993). Perceptual organization and the judgment of brightness. Science, 262(5142), 2042-2044.** La découverte du biais de l’option par défaut avec le cas du don d’organes : Johnson, E. J., & Goldstein, D. (2003). Do defaults save lives?. Science, 302(5649), 1338-1339.** L’experience de Tversky avec les loteries sur les préférences intransitives : Tversky, A. (1969). Intransitivity of preferences. Psychological review, 76(1), 31.** Description de l’effet de leurre :Huber, J., Payne, J. W., & Puto, C. (1982). Adding asymmetrically dominated alternatives: Violations of regularity and the similarity hypothesis. Journal of consumer research, 9(1), 90-98.** A propos de l’effet de leurre dans le choix d’un partenaire amoureux: Sedikides, C., Ariely, D., & Olsen, N. (1999). Contextual and procedural determinants of partner selection: Of asymmetric dominance and prominence. Social Cognition, 17(2), 118-139.** Le Cognitive Réflection Test (CRT) qui induit votre système 1 en erreurFrederick, S. (2005). Cognitive reflection and decision making. Journal of Economic perspectives, 19(4), 25-42.

    • 100 personnes testent une méthode d’INTELLIGENCE COLLECTIVE
      by Fouloscopie on 2025-09-28 at 5:46 PM

      Le jugement de la foule est-il toujours fiable ? Comment influencer l’opinion collective ? Quels sont les mécanismes de l’intelligence collective ? Pour répondre à ces questions, 100 abonnés de ma chaîne ont accepté de participer à une expérience sociale. Voici ce que l’on a découvert…Après 7 jours, la vidéo avait atteint 247k vues : c’est donc réussi pour la quatrième prédiction ! *** POUR ME SOUTENIR ***➡️ sur Tipeee : https://fr.tipeee.com/fouloscopie➡️ sur KKBB : https://www.kisskissbankbank.com/fr/projects/fouloscopieMerci !*** MES RECHERCHES ***Mon laboratoire de recherche à l’institut Max Planck : https://www.mpib-berlin.mpg.de/research/research-centers/adaptive-rationalityMa thèse de doctorat : http://mehdimoussaid.com/TheseMoussaid.pdf** POUR ALLER PLUS LOIN **L’article original de Francis GaltonGalton, Francis. “Vox populi.” (1907).Plus d’information sur l’effet de l’influence collectiveLorenz, Jan, et al. “How social influence can undermine the wisdom of crowd effect.” Proceedings of the national academy of sciences 108.22 (2011): 9020-9025.Un de mes articles qui utilise la même méthode que sur la vidéoMoussaïd, Mehdi, et al. “Social influence and the collective dynamics of opinion formation.” PloS one 8.11 (2013): e78433.L’article fondateur sur la prédiction collectiveWolfers, Justin, and Eric Zitzewitz. “Prediction markets.” Journal of economic perspectives 18.2 (2004): 107-126.

    • Ce réseau décrypte 150 ans de découvertes scientifiques
      by Fouloscopie on 2025-09-24 at 10:43 AM

      Pour participer au financement de la nouvelle saison de 100X, c’est ici :➡️ https://www.kisskissbankbank.com/fr/projects/fouloscopie-100x-saison2Si vous voulez jouer avec la version interactive du réseau, c’est ici : ➡️ https://www.nature.com/immersive/d41586-019-03165-4/index.htmlEnfin quelques références bibliographiques :** Analyse du réseau : https://www.nature.com/articles/d41586-019-03305-whttps://www.nature.com/articles/d41586-019-03308-7** La science de la science : https://www.science.org/doi/epdf/10.1126/science.aao0185** Influence de la taille de l’équipe :https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.23266https://www.kellogg.northwestern.edu/faculty/uzzi/ftp/Teams.PrintVersion.pdf** Sur l’indice de disruptionhttps://www.nature.com/articles/s41586-019-0941-9https://www.nature.com/articles/s41586-019-0941-9** A propos de l’interdisciplinaritéhttps://www.nature.com/articles/s41599-019-0352-4?fromPaywallRec=falsehttps://www.nature.com/articles/s41586-022-05543-xhttps://www.researchgate.net/profile/Satyam-Mukherjee/publication/258044625_Atypical_Combinations_and_Scientific_Impact/links/0deec52b07d0a582b3000000/Atypical-Combinations-and-Scientific-Impact.pdfhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0122565** Les 100 articles les plus citéshttps://www.nature.com/news/the-top-100-papers-1.16224** Sur la composition des équipeshttps://www.nature.com/articles/s41467-019-13130-4** A propos de l’age des chercheurs:https://static1.squarespace.com/static/5877ca6986e6c00f05f58f84/t/58e68a43d482e9cb083bf6ab/1491503686695/quantifying-the-evolution-of-individual-scientific-impact.pdf

    • Peut-on remporter ‘Qui veut gagner des millions’.. avec 120 JOUEURS ?
      by Fouloscopie on 2025-09-08 at 5:38 AM

      Dans cette expérience scientifique, je teste la sagesse des foules avec un quiz collaboratif inspiré de “Qui veut gagner des millions”. Comment voter pour prendre la meilleure décision possible en groupe? L’intelligence collective a-t-elle ses limites ? C’est ce que nous allons voir !📌 Chapitres :00:00 Introduction02:06 Série 1 : le vote simple14:27 Série 2 : le vote avec confiance27:32 Série 3 : le vote sous influence34:38 Série 4 : le vote avec débatEt merci à Patrick pour son admirable participation ! Si vous ne connaissez pas encore sa chaine, foncez vous abonner : ➡️ https://www.youtube.com/@UC2_OG1L8DLTzQ7UrZVOk7OA 📖 Si cette expérience vous a plu, elle est expliquée en détail dans mon prochain livre“A-t-on besoin d’un chef ?”, à paraître le 9 octobre.👉 Il est déjà dispo en précommande ici :➡️ https://allary-editions.fr/products/mehdi-moussaid-a-t-on-besoin-dun-chef?srsltid=AfmBOorqFyBSQ9BKhsW0qdeQck6Pk2_5gy4eM-G5O1t67J5E2XnSsZVlPour en savoir plus sur mes recherches :➡️ Mon laboratoire de recherche à l’institut Max Planck : https://www.mpib-berlin.mpg.de/research/research-centers/adaptive-rationality➡️ Ma thèse de doctorat : http://mehdimoussaid.com/TheseMoussaid.pdf

Divers