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Catalogues d’articles scientifiques

  • 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.

    • Le flux ne contient aucun élément.

  • OpenAlex

    • Before The Leap: Collective Sensemaking Of Artificial Intelligence In Digital Platform Ecosystems
      par RSS-Bridge le 2026-06-14 à 12:00 AM

      Artificial intelligence (AI) is rapidly transforming digital commerce, yet entrepreneurs in this space typically encounter AI as platform-mediated discourse rather than as a working technology. This study examines how entrepreneurs make sense of AI within a digital platform ecosystem prior to adoption by analyzing 3,195 public messages across 385 discussion threads from Shopify, a leading e-commerce platform. Using a computationally assisted approach, we identify three stages of collective sensemaking: 1) exposure, 2) exploration, and 3) evaluation. Our analysis shows that entrepreneurs predominantly frame AI as augmentative, while automation-oriented interpretations are less common. These processes suggest that AI diffusion in platform ecosystems is shaped by interpretive work in which discursive cues, interface behaviors, and peer exchanges guide expectations before adoption occurs. The study contributes to platform ecosystem research by illustrating how actors interpret emerging technologies within a meta-organizational environment and by showing how material-discursive infrastructures support early-stage learning and collective sensemaking.

    • World-Making:How individual social intelligence leads to collective transformational wisdom.
      par RSS-Bridge le 2026-06-01 à 12:00 AM

      Psychology meaningfully contributes to the creation of future societies. We first discuss the theory underlying the world-making potential of psychology. We outline the importance of social intelligence as a central process for transformational wisdom to emerge collectively and thereby contribute to the formation of future societies. Next, we apply this theoretical approach to immigration, showing how transformational wisdom can happen through the development of social intelligence used to navigate complex multicultural societies. We use two ethnographic case studies – in Ireland and Denmark – to illustrate how transformational wisdom is collectively achieved, and when scaled up, can lead to forming more tolerant and harmonious Western liberal democracies.

    • Beyond Legal Personhood Collective and Graduated Legal Subjectivity of Artificial Intelligence
      par RSS-Bridge le 2026-05-30 à 12:00 AM

      This study examines changes in legal responsibility in response to artificial intelligence systems and the need for flexible liability frameworks. Traditional legal models based on strict categories of persons and objects are becoming less effective in complex digital environments. The research explores shared network liability, judicial autonomy structures, and international AI governance approaches. A qualitative method based on doctrinal and document analysis is used to examine legal texts, policies, and scholarly work on AI regulation. Findings indicate that responsibility is now distributed across developers, users, platforms, and institutions rather than held by a single actor. Global policy developments show a shift toward risk-based and cooperative governance models. Despite this progress, challenges remain in enforcement consistency, cross-border regulation, and identifying algorithmic harm. The study concludes that legal systems must adopt flexible and system-oriented frameworks to ensure fairness, transparency, and accountability in rapidly evolving artificial intelligence environments shaping modern societies.

    • The Dismantled Mindset in the Age of Artificial Intelligence: Identity Fragmentation, Algorithmic Power, and a Framework for Collective Restoration
      par RSS-Bridge le 2026-05-30 à 12:00 AM

      The Dismantled Mindset in the Age of Artificial Intelligence: Identity Fragmentation in Algorithmic Networks: A Mathematical Model, Simulation, and Empirical Research Agenda Felipe Castro Quiles, MBA Independent Researcher | felipe@castroquiles.com Working Paper, SSRN 5040267 / 5824582 | 2025 Abstract This paper extends the Dismantled Mindset Theory (Castro Quiles, 2024, 2025) into the domain of artificial intelligence and digital identity, arguing that algorithmic systems do not merely reflect existing power fragmentation; they actively accelerate it. Grounded in the theory’s four foundational forces (greed, fear, influence, and responsibility) and its mathematical formalization of fragmentation dynamics in directed social networks, this paper situates the Dismantled Mindset construct within established research traditions in surveillance capitalism, filter bubble theory, algorithmic identity curation, and the psychology of oppression. We propose four causal mechanisms through which AI systems produce identity fragmentation, three falsifiable hypotheses linking algorithmic exposure to measurable psychological outcomes, and a research agenda for empirical validation. We further argue that the theory’s normative commitment to collective empowerment, rooted in the author’s lived experience across the Americas (from San Castro Quiles | Dismantled Mindset Theory | p. 1Juan to post-earthquake Haiti to the World Bank), provides a constructive dimension that critical AI scholarship has largely lacked. The path from thought leadership to scientific theory runs through measurement, peer scrutiny, and replication. This paper charts that path. Keywords: Dismantled Mindset Theory, identity fragmentation, algorithmic power, AI ethics, surveillance capitalism, collective empowerment, digital identity, social network dynamics, power redistribution 1. Introduction What if the very way we think about power, identity, and society is fundamentally flawed? What if our understanding of these concepts is not just misguided, but a trap, one built upon greed, fear, and manipulation, ultimately leading us to fracture our identities and limit our potential? These questions, posed at the opening of the Dismantled Mindset Theory (Castro Quiles, 2024), are not rhetorical. They describe a structural condition of contemporary digital life that has become measurable, propagating, and urgent. The relationship between technological systems and human identity has been a central concern of social theory since the industrial era. What distinguishes the present moment is the degree to which identity formation is now mediated not merely by institutions or social norms, but by opaque algorithmic systems that continuously model, predict, and shape individual behavior at scale. Social media recommendation engines, large language models, personalized advertising ecosystems, and automated content moderation systems collectively constitute an environment in Castro Quiles | Dismantled Mindset Theory | p. 2which the self is perpetually reflected back to the individual in curated, fragmented, and commercially optimized forms. The Dismantled Mindset Theory (DMT), introduced by Castro Quiles (2024) and formalized mathematically in Castro Quiles (2025), provides a conceptual and quantitative framework for understanding these dynamics. At the heart of the theory are four foundational forces: greed, defined as the insatiable desire to control resources and power at the expense of others; fear, the anxiety of losing power or status that compels self-preserving behaviors harmful to collective well- being; influence, the capacity to inspire and lead through empathy and ethics; and responsibility, the ethical obligation to use power for the greater good. These forces interact to produce what the theory calls a dismantled mindset: a fractured sense of self and society that perpetuates division, disempowerment, and inequality. The theory emerges not from academic abstraction but from lived experience. The author’s trajectory, from a family business in Puerto Rico, through entrepreneurship in post-earthquake Haiti, to policy dialogues at the World Bank and global innovation programs at Singularity University, gives the framework a grounded empirical intuition that purely theoretical accounts of AI and power often lack. The observation that algorithms had quietly shaped what people believe before they start speaking, illustrated in a kitchen debate in Santurce between the author and his uncle, both convinced they were seeing the full picture, both having been guided to their views by invisible systems designed to feed them what they were already inclined to accept, captures in everyday terms what the theory formalizes analytically. Crucially, the Dismantled Mindset is described not only as a phenomenon to be diagnosed but as one to be dismantled. The theory’s central normative claim, captured in Quiles’ Law of Dismantled Castro Quiles | Dismantled Mindset Theory | p. 3Mindsets, is that only by breaking down fear, greed, and control can we rebuild ourselves and unlock true potential. This dual character, critical and constructive, distinguishes DMT from most critical AI scholarship, which tends toward diagnosis without prescription. This paper has three objectives. First, it situates DMT within existing interdisciplinary literature, demonstrating both its alignment with established findings and its distinctive contributions. Second, it sharpens the theory’s causal claims into falsifiable hypotheses. Third, it proposes a research agenda that would enable DMT to move from a framework toward an empirically validated theory of AI-mediated identity fragmentation. 2. Literature Review: Situating the Dismantled Mindset The Dismantled Mindset Theory does not emerge in an intellectual vacuum. Several well- established research programs address adjacent phenomena. This section maps the terrain, identifying where DMT builds on, diverges from, and advances these traditions. 2.1 Filter Bubbles and Epistemic Fragmentation Pariser (2011) introduced the concept of the filter bubble to describe how algorithmic personalization progressively narrows users’ informational environments, reinforcing existing beliefs and limiting exposure to disconfirming perspectives. Subsequent empirical work has complicated the picture: Guess et al. (2023) found that algorithmic effects on political polarization are more modest than popularly assumed, and that user choice plays a substantial role in self- selection into homogeneous information environments. Castro Quiles | Dismantled Mindset Theory | p. 4DMT’s contribution to this debate is to shift the unit of analysis from epistemic content, what people believe, to identity coherence, who people understand themselves to be. The fragmentation the theory describes is not primarily about holding incorrect beliefs, but about the progressive incoherence of the self-concept under conditions of algorithmic curation. An individual who encounters conflicting identity signals across algorithmically managed contexts does not simply hold inconsistent beliefs; they experience a structural erosion of the narrative self. This distinction is not addressed by existing filter bubble research. 2.2 Surveillance Capitalism and the Commodification of Identity Zuboff (2019) offers the most comprehensive account of how the commercial logic of digital platforms transforms human experience into raw material for behavioral prediction and modification. Her concept of behavioral futures markets, in which platforms sell predictions about future behavior to advertisers, implies a structural incentive for platforms to destabilize user identity, since identity instability increases engagement and therefore generates more predictive data. DMT’s power fragmentation framework is directly consonant with Zuboff’s analysis but extends it in two directions: first, it introduces a mathematical formalism for modeling fragmentation dynamics across social networks rather than merely within individuals; second, it proposes a constructive framework for collective restoration that is largely absent from Zuboff’s critical project. Where Zuboff describes the problem in its fullest form, the Dismantled Mindset Theory attempts to specify the mechanism of reversal. 2.3 Algorithmic Identity and Context Collapse Castro Quiles | Dismantled Mindset Theory | p. 5A growing body of work in human-computer interaction and critical internet studies has documented how algorithmic systems shape self-presentation and identity performance. Bucher (2018) examines how platform algorithms create an algorithmic imaginary, a set of beliefs users develop about how algorithms work, which in turn shapes their behavior and self-conception. Research on context collapse (Marwick and boyd, 2011) has shown that the flattening of social contexts on platforms produces identity incoherence as users navigate incompatible audience expectations simultaneously. DMT’s fragmentation construct maps productively onto this literature. The dismantled self described by the theory is, in computational social science terms, a self whose context management has broken down, an identity that has lost coherent narrative under the pressure of multiple, algorithmically mediated audience contexts. The theory’s four forces operationalize the specific drivers: greed and fear on the platform side generate the commercial incentives for context collapse, while influence and responsibility describe the individual and collective capacities needed to resist it. 2.4 Structural Power and Identity: Sociological Antecedents DMT’s attention to structural power as the driver of identity fragmentation connects it to foundational sociological work. Bourdieu (1986) describes how structural inequalities are reproduced through differential access to symbolic r

    • The Dismantled Mindset in the Age of Artificial Intelligence: Identity Fragmentation, Algorithmic Power, and a Framework for Collective Restoration
      par RSS-Bridge le 2026-05-30 à 12:00 AM

      The Dismantled Mindset in the Age of Artificial Intelligence: Identity Fragmentation in Algorithmic Networks: A Mathematical Model, Simulation, and Empirical Research Agenda Felipe Castro Quiles, MBA Independent Researcher | felipe@castroquiles.com Working Paper, SSRN 5040267 / 5824582 | 2025 Abstract This paper extends the Dismantled Mindset Theory (Castro Quiles, 2024, 2025) into the domain of artificial intelligence and digital identity, arguing that algorithmic systems do not merely reflect existing power fragmentation; they actively accelerate it. Grounded in the theory’s four foundational forces (greed, fear, influence, and responsibility) and its mathematical formalization of fragmentation dynamics in directed social networks, this paper situates the Dismantled Mindset construct within established research traditions in surveillance capitalism, filter bubble theory, algorithmic identity curation, and the psychology of oppression. We propose four causal mechanisms through which AI systems produce identity fragmentation, three falsifiable hypotheses linking algorithmic exposure to measurable psychological outcomes, and a research agenda for empirical validation. We further argue that the theory’s normative commitment to collective empowerment, rooted in the author’s lived experience across the Americas (from San Castro Quiles | Dismantled Mindset Theory | p. 1Juan to post-earthquake Haiti to the World Bank), provides a constructive dimension that critical AI scholarship has largely lacked. The path from thought leadership to scientific theory runs through measurement, peer scrutiny, and replication. This paper charts that path. Keywords: Dismantled Mindset Theory, identity fragmentation, algorithmic power, AI ethics, surveillance capitalism, collective empowerment, digital identity, social network dynamics, power redistribution 1. Introduction What if the very way we think about power, identity, and society is fundamentally flawed? What if our understanding of these concepts is not just misguided, but a trap, one built upon greed, fear, and manipulation, ultimately leading us to fracture our identities and limit our potential? These questions, posed at the opening of the Dismantled Mindset Theory (Castro Quiles, 2024), are not rhetorical. They describe a structural condition of contemporary digital life that has become measurable, propagating, and urgent. The relationship between technological systems and human identity has been a central concern of social theory since the industrial era. What distinguishes the present moment is the degree to which identity formation is now mediated not merely by institutions or social norms, but by opaque algorithmic systems that continuously model, predict, and shape individual behavior at scale. Social media recommendation engines, large language models, personalized advertising ecosystems, and automated content moderation systems collectively constitute an environment in Castro Quiles | Dismantled Mindset Theory | p. 2which the self is perpetually reflected back to the individual in curated, fragmented, and commercially optimized forms. The Dismantled Mindset Theory (DMT), introduced by Castro Quiles (2024) and formalized mathematically in Castro Quiles (2025), provides a conceptual and quantitative framework for understanding these dynamics. At the heart of the theory are four foundational forces: greed, defined as the insatiable desire to control resources and power at the expense of others; fear, the anxiety of losing power or status that compels self-preserving behaviors harmful to collective well- being; influence, the capacity to inspire and lead through empathy and ethics; and responsibility, the ethical obligation to use power for the greater good. These forces interact to produce what the theory calls a dismantled mindset: a fractured sense of self and society that perpetuates division, disempowerment, and inequality. The theory emerges not from academic abstraction but from lived experience. The author’s trajectory, from a family business in Puerto Rico, through entrepreneurship in post-earthquake Haiti, to policy dialogues at the World Bank and global innovation programs at Singularity University, gives the framework a grounded empirical intuition that purely theoretical accounts of AI and power often lack. The observation that algorithms had quietly shaped what people believe before they start speaking, illustrated in a kitchen debate in Santurce between the author and his uncle, both convinced they were seeing the full picture, both having been guided to their views by invisible systems designed to feed them what they were already inclined to accept, captures in everyday terms what the theory formalizes analytically. Crucially, the Dismantled Mindset is described not only as a phenomenon to be diagnosed but as one to be dismantled. The theory’s central normative claim, captured in Quiles’ Law of Dismantled Castro Quiles | Dismantled Mindset Theory | p. 3Mindsets, is that only by breaking down fear, greed, and control can we rebuild ourselves and unlock true potential. This dual character, critical and constructive, distinguishes DMT from most critical AI scholarship, which tends toward diagnosis without prescription. This paper has three objectives. First, it situates DMT within existing interdisciplinary literature, demonstrating both its alignment with established findings and its distinctive contributions. Second, it sharpens the theory’s causal claims into falsifiable hypotheses. Third, it proposes a research agenda that would enable DMT to move from a framework toward an empirically validated theory of AI-mediated identity fragmentation. 2. Literature Review: Situating the Dismantled Mindset The Dismantled Mindset Theory does not emerge in an intellectual vacuum. Several well- established research programs address adjacent phenomena. This section maps the terrain, identifying where DMT builds on, diverges from, and advances these traditions. 2.1 Filter Bubbles and Epistemic Fragmentation Pariser (2011) introduced the concept of the filter bubble to describe how algorithmic personalization progressively narrows users’ informational environments, reinforcing existing beliefs and limiting exposure to disconfirming perspectives. Subsequent empirical work has complicated the picture: Guess et al. (2023) found that algorithmic effects on political polarization are more modest than popularly assumed, and that user choice plays a substantial role in self- selection into homogeneous information environments. Castro Quiles | Dismantled Mindset Theory | p. 4DMT’s contribution to this debate is to shift the unit of analysis from epistemic content, what people believe, to identity coherence, who people understand themselves to be. The fragmentation the theory describes is not primarily about holding incorrect beliefs, but about the progressive incoherence of the self-concept under conditions of algorithmic curation. An individual who encounters conflicting identity signals across algorithmically managed contexts does not simply hold inconsistent beliefs; they experience a structural erosion of the narrative self. This distinction is not addressed by existing filter bubble research. 2.2 Surveillance Capitalism and the Commodification of Identity Zuboff (2019) offers the most comprehensive account of how the commercial logic of digital platforms transforms human experience into raw material for behavioral prediction and modification. Her concept of behavioral futures markets, in which platforms sell predictions about future behavior to advertisers, implies a structural incentive for platforms to destabilize user identity, since identity instability increases engagement and therefore generates more predictive data. DMT’s power fragmentation framework is directly consonant with Zuboff’s analysis but extends it in two directions: first, it introduces a mathematical formalism for modeling fragmentation dynamics across social networks rather than merely within individuals; second, it proposes a constructive framework for collective restoration that is largely absent from Zuboff’s critical project. Where Zuboff describes the problem in its fullest form, the Dismantled Mindset Theory attempts to specify the mechanism of reversal. 2.3 Algorithmic Identity and Context Collapse Castro Quiles | Dismantled Mindset Theory | p. 5A growing body of work in human-computer interaction and critical internet studies has documented how algorithmic systems shape self-presentation and identity performance. Bucher (2018) examines how platform algorithms create an algorithmic imaginary, a set of beliefs users develop about how algorithms work, which in turn shapes their behavior and self-conception. Research on context collapse (Marwick and boyd, 2011) has shown that the flattening of social contexts on platforms produces identity incoherence as users navigate incompatible audience expectations simultaneously. DMT’s fragmentation construct maps productively onto this literature. The dismantled self described by the theory is, in computational social science terms, a self whose context management has broken down, an identity that has lost coherent narrative under the pressure of multiple, algorithmically mediated audience contexts. The theory’s four forces operationalize the specific drivers: greed and fear on the platform side generate the commercial incentives for context collapse, while influence and responsibility describe the individual and collective capacities needed to resist it. 2.4 Structural Power and Identity: Sociological Antecedents DMT’s attention to structural power as the driver of identity fragmentation connects it to foundational sociological work. Bourdieu (1986) describes how structural inequalities are reproduced through differential access to symbolic r

Laboratoires

  • MIT CCI

  • AI4CI

    • Bridge returned error 500! (20600)
      par RSS-Bridge le 2026-05-27 à 3:55 AM

      Details Type: Exception Code: 500 Message: Could not request AI4CI Outputs via proxy. HTTP Code: 500 File: lib/utils.php Line: 252 Trace #0 index.php(73): RssBridge->main() #1 lib/RssBridge.php(39): RssBridge->{closure}() #2 lib/RssBridge.php(37): CacheMiddleware->__invoke() #3 middlewares/CacheMiddleware.php(44): RssBridge->{closure}() #4 lib/RssBridge.php(37): ExceptionMiddleware->__invoke() #5 middlewares/ExceptionMiddleware.php(17): RssBridge->{closure}() #6 lib/RssBridge.php(37): SecurityMiddleware->__invoke() #7 middlewares/SecurityMiddleware.php(19): RssBridge->{closure}() #8 lib/RssBridge.php(37): MaintenanceMiddleware->__invoke() #9 middlewares/MaintenanceMiddleware.php(10): RssBridge->{closure}() #10 lib/RssBridge.php(37): BasicAuthMiddleware->__invoke() #11 middlewares/BasicAuthMiddleware.php(13): RssBridge->{closure}() #12 lib/RssBridge.php(37): TokenAuthenticationMiddleware->__invoke() #13 middlewares/TokenAuthenticationMiddleware.php(10): RssBridge->{closure}() #14 lib/RssBridge.php(34): DisplayAction->__invoke() #15 actions/DisplayAction.php(54): DisplayAction->createResponse() #16 actions/DisplayAction.php(89): Ai4ciOutputsBridge->collectData() #17 bridges/Ai4ciOutputsBridge.php(35): returnServerError() #18 lib/utils.php(252) Context Query: action=display&bridge=Ai4ciOutputsBridge&format=Atom Version: 2025-01-26 OS: Linux PHP: 8.3.23 Go back Find similar bugs Create GitHub Issue https://all-as.one

Vidéos

  • Fouloscopie

    • Peut-on remporter ‘Qui veut gagner des millions’.. avec 120 JOUEURS ?
      par Fouloscopie le 2026-05-30 à 3:42 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

    • Les bousculades dans les stades de foot
      par Fouloscopie le 2026-05-29 à 11:34 PM

      Erratum: la pression se mesure effectivement en Newton par mètre carré. Désolé pour l’imprécision.Pour soutenir la chaîne :➡️ sur Tipeee : https://fr.tipeee.com/fouloscopie➡️ sur KissKiss : https://www.kisskissbankbank.com/fr/projects/fouloscopieMerci à mon invité Pascal Viot, pour en savoir plus sur ses activités :➡️ https://www.issue.ch/Pour 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.pdfEnfin quelques références pour la vidéo :➡️ Pour l’étude des pressions physiquesWang, C., Shen, L., & Weng, W. (2020). Experimental study on individual risk in crowds based on exerted force and human perceptions. Ergonomics, 63(7), 789-803.➡️ Pour un rapport complet sur le drame de Hillsborough :Nicholson, C. E., & Roebuck, B. (1995). The investigation of the Hillsborough disaster by the Health and Safety Executive. Safety Science, 18(4), 249-259.➡️ Le blog de Keith Still donne des valeurs de références pour la pression: https://www.gkstill.com/CV/Modelling/Pressure.html➡️ Et le lien vers la vidéo du journal Le Monde : https://youtu.be/6_o8EwK-m7o

    • Comment gérer 3 millions de pèlerins à La Mecque ?
      par Fouloscopie le 2026-05-28 à 7:28 PM

      🔔 Pensez à vous abonner et à activer la cloche pour ne pas rater mes futures vidéos 🔔Le pèlerinage de La Mecque est-il dangereux ? Comment les chercheurs aident-ils à sécuriser le pèlerinage ? Quelles découvertes scientifiques ont été réalisées à partir des images de surveillance ? Je vous explique tout ça dans cette vidéo.Pour soutenir la chaîne :➡️ sur Tipeee : https://fr.tipeee.com/fouloscopie➡️ sur KissKiss : https://www.kisskissbankbank.com/fr/projects/fouloscopiePour 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.pdfSi vous avez manqué les deux premiers épisodes de la série : ➡️ EPISODE 1 : https://youtu.be/mhLKT4D2YvI➡️ EPISODE 2 : https://youtu.be/qojBLk-h6rkEnfin quelques références bibliographiques :– L’article de Dirk Helbing sur l’accident de 2006 : Helbing, D., Johansson, A., & Al-Abideen, H. Z. (2007). Dynamics of crowd disasters: An empirical study. Physical review E, 75(4), 046109

    • Peut-on travailler COMME DES FOURMIS ? 🐜 🐜 🐜
      par Fouloscopie le 2026-05-24 à 7:32 PM

      🔔 Pensez à vous abonner et à activer la cloche pour ne pas rater mes futures vidéos 🔔Pour soutenir la chaîne :➡️ sur Tipeee : https://fr.tipeee.com/fouloscopie➡️ sur KissKiss : https://www.kisskissbankbank.com/fr/projects/fouloscopiePour 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.pdfEnfin quelques références bibliographiques :** Le livre complet d’Adam Smith, « La richesse des nations » est en accès libre ici : https://archive.org/details/in.ernet.dli.2015.206053/page/n21/mode/2up** Pour découvrir les travaux de Deborah Gordon, vous pouvez consulter ses publications comme celle-ci : https://web.stanford.edu/~dmgordon/old2/Gordon1996Organization.pdfOu écouter ses conférences fascinantes. Celle-ci est super par exemple: https://youtu.be/R07_JFfnFnY?si=UJXw3hlLUcjk8kxa** Le modèle de division du travail est formellement défini ici :Theraulaz, G., Bonabeau, E., & Denuebourg, J. N. (1998). Response threshold reinforcements and division of labour in insect societies. Proceedings of the Royal Society of London. Series B: Biological Sciences, 265(1393), 327-332.** Enfin voici la publication récente sur l’épreuve du porteur de piano : Dreyer, T., Haluts, A., Korman, A., Gov, N., Fonio, E., & Feinerman, O. (2025). Comparing cooperative geometric puzzle solving in ants versus humans. Proceedings of the National Academy of Sciences, 122(1), e2414274121.** Et un aperçu des résultats du jeu des biens communs avec ou sans sanction :Fehr, E., & Gächter, S. (2000). Cooperation and punishment in public goods experiments. American Economic Review, 90(4), 980-994.

    • La science des foules en conditions EXTRÊMES
      par Fouloscopie le 2026-05-22 à 5:13 PM

      Quelques liens utiles : Mon dernier livre, “A-t-on besoin d’un chef ? “👉 https://allary-editions.fr/products/mehdi-moussaid-a-t-on-besoin-dun-chef?srsltid=AfmBOoq8ke_n_HgCYM3mOLzXknt-DwMOSiDWOOnOsTZO5MY_n3Fi_zxjLa terre au carré, sur France Inter : 👉 https://youtu.be/2dw9FSgI138?si=__HsT6Msa_IKBd0_Mon passage sur l’excellent podcast de Patrick Baud :👉 https://open.spotify.com/episode/2y61v5ihiuR80KSHDS0JWa?si=WYg5Wip9RiqjEws_3j7wNQPour vous inscrire à l’avant-première du 27 avril : 👉 https://clubdeletoile.fr/programmation/le-dilemme-moral-fouloscopie/Pour soutenir la chaîne :➡️ sur Tipeee : https://fr.tipeee.com/fouloscopie➡️ sur KissKiss : https://www.kisskissbankbank.com/fr/projects/fouloscopieEnfin quelques références bibliographiques :** L’article fondateur de John Fruin sur le diagramme fondamental :Fruin, J. (1970). Designing for pedestrians a level of service concept. Polytechnic University.** Les premières analyse de San Fermin par Iker Zuriguel : Parisi et al. (2021). Pedestrian dynamics at the running of the bulls evidence an inaccessible region in the fundamental diagram. PNAS, 118(50)** L’article récent de Denis Bartolo sur les vortex de foules :Gu et al. (2025). Emergence of collective oscillations in massive human crowds. Nature, 638(8049), 112-119.

Divers