SmartMass · Behavioral and cognitive mechanisms promoting collective intelligence in human groups
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2015-09-01 → 2017-02-28
- Финансиране от ЕС
- 138 807 €
- Участници
- 1
- Схема
- MSCA-IF-EF-CAR
Линиите свързват координатора с партньорите.
Накратко на български
Колективният интелект изследва как споделянето на информация между хората води до общи решения, например как индивидуалният избор влияе върху поведението на цялата група. Това помага да се разбере как качеството и количеството на информацията определят ефективността на груповите действия.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Behavioral and cognitive mechanisms promoting collective intelligence in human groups
We want to identify the mechanisms by which individual behaviors can promote the emergence of collective intelligence in human groups. We want to know how the information sharing between individuals can lead to efficient collective decisions (micro to macro), and to identify the specific situations where individuals behaviors and choices are affected by the group (macro to micro). The importance for society is in determining if collective intelligence arise because of the intrinsic nature of individual behavioral rules, or because individuals are able to identify the information required to coordinate their actions and make efficient decisions, which factors contribute to a successful information process, and what are the effects of insufficient information, information overload, and bad quality information. By combining insights and methods from diverse disciplines, we want to determine 1) the basic interactions between individuals and with their environment, in particular, the kind of information extracted and used from the environment and exchanged with other individuals, and the mechanisms of transmission and propagation of this information among individuals; 2) the effects of these interactions on individual choices and actions, 3) the resulting collective behavioral effects, and 4) the influence of group behavior on individual interactions. The SMARTMASS project has successfully created a hub for interdisciplinary research, centered on addressing behavioral and economic problems with a methodology combining experiments and mathematical modeling. New ideas have been unlocked by associating experimental and theoretical tools of cognitive sciences, quantitative ethology, statistical physics, economics and game theory. We have designed and executed specific experiments to investigate how human groups select alternative solutions to solve complex problems under different conditions of information. We have proposed different scenarios, derived mathematical models from experimental data, and studied these models by means of classical and novel tools. Main conclusion: Human groups are very effective in solving complex problems collectively. The accurate delivery (in quantity and quality) of local individual information definitively allows to enhance collective intelligence in human groups.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
This research project will develop novel tools to investigate the interactions between individuals and the behavioral and cognitive mechanisms that promote the emergence of collective intelligence in humans, by integrating methods from biology, physics, economics and social sciences. Economics and biology, two disciplines that study the behavior of living beings, have followed distinct routes to analyze the behavior of human groups. While macroeconomic models rely on complex individual behavior and study static equilibria and steady states, biologists tend to focus on simple individual behaviors to study population heterogeneities and complex group dynamics. Simultaneously, physicists have developed a powerful set of methods and mathematical models to study the dynamics of particle systems and are very recently being combined with behavioral heuristics borrowed from cognitive science. Merging experimental and theoretical work, we will investigate the mechanisms by which the processing of information between individuals lead to collective decisions, and the specific situations where individual behaviors and choices are affected by the group. We will design and execute specific experiments to study how human groups select alternative solutions to solve specific problems, where anticipation about future actions/events will be formulated under different conditions of information. The resulting mathematical models based on the experimental data, including behavioral and cognitive processes at the individual scale, will give access to the type of information needed by the group to become more efficient in solving a given problem. These models will be analytically and numerically studied by means of classical and novel tools of statistical physics, complex networks and game theory. The present project thus aims to combine insights and methods from diverse disciplines to deliver novel hybrid models to study the emergence of collective intelligence in social human systems.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITE PAUL SABATIER TOULOUSE III · Toulouse Cedex 9КоординаторФранция
Връзки
- Виж в CORDIS
- DOI: 10.3030/655235
- https://web.archive.org/web/20161120175754/http://cognition.ups-tlse.fr/spip.php
Данни: CORDIS, © Европейски съюз
