Collective intelligence

Summary

Collective intelligence (CI) is shared or group intelligence (GI) that emerges from the collaboration, collective efforts, and competition of many individuals and appears in consensus decision making. The term appears in sociobiology, political science and in context of mass peer review and crowdsourcing applications. It may involve consensus, social capital and formalisms such as voting systems, social media and other means of quantifying mass activity. Collective IQ is a measure of collective intelligence, although it is often used interchangeably with the term collective intelligence. Collective intelligence has also been attributed to bacteria and animals. It can be understood as an emergent property from the synergies among: #data-information-knowledge #software-hardware #individuals (those with new insights as well as recognized authorities) that continually learns from feedback to produce just-in-time knowledge for better decisions than these three elements acting alone

Official source

https://en.wikipedia.org/wiki/Collective_intelligence

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Montreux Co-Operative Culturelle. Une architecture de l'intelligence collective

Benoît Meugniot

L'architecte est pris au piège dans son système de pensées d'expert. Dès lors, le travail vise à introduire des outils conviviaux au workflow architectural pour faciliter l'intervention et la discussion des utilisateurs profanes, promulguant une architecture plus inclusive et durable. Le projet s'appuie sur les idéaux de l'association, « la 17ème », résidant à Montreux. Son idéologie, articulée autour de notions de participativité, d'inventivité et d'exploration, favorise un environnement propice à la vérification du processus « par et pour l'utilisateur ». L'expérience s'appuie sur le logiciel « Minecraft », base de nos interactions projectuelles. Ces dernières, collectées, nous permettent de comprendre les différentes itérations et l'improvisation architecturale qui mènent à la solution concertée. Situé dans un bâtiment désaffecté derrière le Montreux Palace, en aplomb sur le lac, le programme tente de répondre au besoin d'un « Incubateur culturel ». Ce choix questionne le rapport de la culture amatrice, qui nécessite des espaces d'expressions et de performances, avec celui d'une dynamique de logement coopératif. Ainsi, l'emphase sur l'intelligence collective rend intelligible, d'une part le fonctionnement du processus de création collective et d'autre part, solidifie les préceptes coopératifs.

2021

Impact de la communication voco-visuelle dans le management sur la motivation des collaborateurs

Our research work wishes to highlight the importance of the relationship between the vocal and physical behaviour of the manager and team motivation. In order to investigate this important relationship, a survey by means of a questionnaire and two field studies were undertaken. The survey has notably showed that in communication situations the working population questioned is above all sensitive to physical behaviour. The people questioned often put vocal communication in second place. It should be noted that their principal factor of motivation within the professional environment is recognition and respect for the individual. According to them, for physical behaviour, it is mainly through the eyes, followed by facial expressions and then the manager's posture that recognition and respect for the individual are expressed. With regard to vocal behaviour, these elements can be expressed through the intonation, tone and loudness of the voice. The field studies and the decision to prioritize the analysis of physical behaviour allowed us to confirm whether this body language, a sign of recognition and respect of the individual and therefore source of motivation, was a reality and resulted in a successful contact. In the working place, the way the manager looks at his team, notably, can be lacking or even absent and consequently this absence can be perceived as a closure. Therefore, if we follow our logic, this could have an influence on staff motivation. We therefore decided to complete our field studies by having the teams pass a connotation test to find out their real feelings towards their manager's behaviour. It appears that the manager's recognition for them takes second place to other equally necessary managerial qualities such as strength, endurance and a proactive personality which are widely accepted. The conclusions of the questionnaire survey have therefore been confirmed by the qualitative study. By proceeding stage by stage, our research has therefore managed to confirm the real relationship between the principal factor of motivation for staff "recognition and respect of the individual" and the physical behaviour "look, facial expression and posture" which expresses this recognition. And by really taking into consideration the relationship of vocal and visual behaviour to motivation, every manager can encourage a better quality of understanding within his team. This active listening will allow him to build a complementary and successful team by placing the right person in the right place! Henceforth, every individual's satisfaction at work becomes progressively a collective effort and a real social culture within the working place begins to grow…

EPFL2009

This article considers solving an overdetermined system of linear equations in peer-to-peer multiagent networks. The network is assumed to be synchronous and strongly connected. Each agent has a set of local data points, and their goal is to compute a linear model that fits the collective data points. In principle, the agents can apply the decentralized gradient-descent method (DGD). However, when the data matrix is ill-conditioned, DGD requires many iterations to converge and is unstable against system noise. We propose a decentralized preconditioning technique to mitigate the deleterious effects of the data points' conditioning on the convergence rate of DGD. The proposed algorithm converges linearly, with an improved convergence rate than DGD. Considering the practical scenario where the computations performed by the agents are corrupted, we study the robustness guarantee of the proposed algorithm. In addition, we apply the proposed algorithm for solving decentralized state estimation problems. The empirical results show our proposed state predictor's favorable convergence rate and robustness against system noise compared to prominent decentralized algorithms.

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Impact de la communication voco-visuelle dans le management sur la motivation des collaborateurs

EPFL2009