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Collaborative intelligence

Collaborative intelligence
Collaborative intelligence characterizes multi-agent, distributed systems where each agent, human or machine, is uniquely positioned, with autonomy to contribute to a problem-solving network. Collaborative autonomy of organisms in their ecosystems makes evolution possible. Natural ecosystems, where each organism's unique signature is derived from its genetics, circumstances, behavior and position in its ecosystem, offer principles for design of next generation social networks to support collaborative intelligence, crowd-sourcing individual expertise, preferences, and unique contributions in a problem-solving process.[1] Overview[edit] Collaborative intelligence is a term used in several disciplines. History[edit] In the late 1980s, Eshel Ben-Jacob began to study bacterial self-organization, believing that bacteria hold the key to understanding larger biological systems. Contrast with collective intelligence[edit] Application[edit] See also[edit] References[edit] Related:  Intelligence Forms

Intelligence distribuée Un article de Wikipédia, l'encyclopédie libre. Un vol d'étourneaux maintient sa cohérence avec un ensemble de règles simples au niveau individuel. L'intelligence distribuée désigne l'apparition de phénomènes cohérents à l'échelle d'une population dont les individus agissent selon des règles simples. L'interaction ou la synergie entre actions individuelles simples peut de façons variées permettre l'émergence de formes, organisations, ou comportements collectifs, complexes ou cohérents, tandis que les individus eux se comportent à leur échelle indépendamment de toute règle globale. C'est l'indépendance entre d'une part les actions et règles qui régissent les individus et de l'autre la forme ou la dynamique collective, qui est au cœur du concept d'intelligence distribuée : comment cette cohérence globale apparaît-elle alors qu'elle n'est ni inscrite au niveau de l'individu, ni le résultat de "décisions communes", ni encore "commandée" par une "intelligence" centrale ? — [réf. nécessaire]

Lab: Bringing collaborative intelligence (C-IQ) and the catalyZer method to complex, cross-disciplinary design and innovation challenges. Zann Gill, Dennis Britton, Kevin Montgomery, Linda G. Francis, Sheldon Breiner, Richard Johnson, Chris McKay DESYN Lab develops Interactive Frameworks for Decision Support (IFDS). DESYN Lab integrates outcomes of knowledge-sharing in the content space of each challenge, semantic meta-tagging and threading of user ideas and debates about each challenge, decision support systems to support challenge teams, and collaborative intelligence prompters, recommender systems and other devices for navigating the knowledge space. The passive wiki mode comprises a knowledge management framework to navigate information and grow resources and archives. The active IFDS mode offers process support for design and collaborative problem-solving. The passive/ active modes are tightly coupled, since each user's path through the knowledge archives (passive) leaves a "pheromone trail" that feeds into the design of the recommender system for future users of the site. Image: Tensegrity - Planes Intersecting, Zann Gill Stage One. Stage Two. Stage Three. Stage Four. Stage Five. Social Networks and Knowledge Clusters

Valentin Turchin Valentin Fyodorovich Turchin (Russian: Валенти́н Фёдорович Турчи́н, 1931 – 7 April 2010) was a Soviet and American cybernetician and computer scientist. He developed the Refal programming language, the theory of metasystem transitions and the notion of supercompilation. As such he can be seen as a pioneer in Artificial Intelligence and one of the visionaries at the basis of the Global brain idea. Biography[edit] Turchin was born in 1931 in Podolsk, Soviet Union. In the 1960s, Turchin became politically active. He came to New York where he joined the faculty of the City University of New York in 1979. His son, Peter Turchin, is a world renowned specialist in population dynamics and mathematical modeling of historical dynamics. Work[edit] The philosophical core of Turchin's scientific work is the concept of the metasystem transition, which denotes the evolutionary process through which higher levels of control emerge in system structure and function. Major publications[edit] Valentin F.

Welcome to the Group Pattern Language Project | group works Intelligence ambiante Un article de Wikipédia, l'encyclopédie libre. L'évolution des ordinateurs : la course à la miniaturisation et à la diffusion dans le milieu ambiant L'intelligence ambiante est ce que pourrait devenir l'informatique dans la première moitié du XXIe siècle en repoussant les limites technologiques qu'elle avait à la fin du XXe siècle [réf. nécessaire]. Ce concept semble pouvoir tenir lieu de traduction non littérale aux concepts nés en Amérique du Nord sous le vocable initial d'informatique ubiquitaire, systèmes pervasifs ou encore ordinateur évanescent [réf. nécessaire]. Dans cette approche, le concept même de système d’information ou d'ordinateur change : d’une activité de traitement exclusivement centrée sur l’utilisateur, l'informatique devient interface entre objets communicants et personnes, et entre personnes [réf. nécessaire]. Facteurs en jeu[modifier | modifier le code] Vers une informatique diffuse[modifier | modifier le code] Perspectives économiques[modifier | modifier le code]

L'intelligence collective La recherche de l'intelligence collective est le graal des organisations. Mais comment donc 1+ 1 finissent par faire 3? Voici quelques idées pour trouver la solution : Ambient intelligence An (expected) evolution of computing from 1960–2010. In computing, ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to the presence of people. Ambient intelligence is a vision on the future of consumer electronics, telecommunications and computing that was originally developed in the late 1990s for the time frame 2010–2020. In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices (see Internet of Things). As these devices grow smaller, more connected and more integrated into our environment, the technology disappears into our surroundings until only the user interface remains perceivable by users. A typical context of ambient intelligence environment is a Home environment (Bieliková & Krajcovic 2001). Overview[edit] History[edit] Criticism[edit]

Cooperative Intelligence | Generous Leadership, Connection & Communication

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