“Unthinking respect for authority is the greatest enemy of truth.” ― Albert Einstein
There are no roles, there are no functions. There is only a downloadable peer-to-peer cryptocurrency application. and the user/special interest group formed by those who opt to run the app or interact with the blockchain. Within that group, several conceptual divisions can be identified.
The application will not function unless blocks are created according to the predetermined schedule, i.e. at least one node must be mining and/or processing transactions. SO, there is mining and there are miners.
With teamwork playing an increasingly important role in the classroom, the workplace, and other areas of daily life, it has become more and more of a necessity to understand the factors that contribute to strong performance and successful dynamics within groups. When considering performance on an individual level, researchers have found that “general intelligence” is associated with success as measured in a variety of ways. How well an individual performs certain cognitive tasks can generally predict how well they will do with other tasks, and this correlation has repeatedly proven to be present in studies of intelligence. Though group dynamics have been studied for years, no one has ever applied the individual method of assessing general intelligence to measure “collective intelligence” in groups. Like individual general intelligence, group collective intelligence is important for predicting the group’s future performance. In this study, the authors use the same principles of evaluating individual intelligence to examine whether groups, like individuals, have levels of intelligence that can be measured according to key characteristics in order to predict future success.
In the 192 groups of varying sizes, authors tested the hypothesis that group collective intelligence—or the idea that a group’s aptitude for performing one task is correlated with its ability to successfully navigate other tasks—would be present. Groups were asked to undertake visual puzzle solving, collective brainstorming, moral decision-making, and bargaining for resources. Group collective intelligence was found to exist separately from individual intelligence. Its main predictors are social sensitivity, the distribution of conversational turn-taking, and the proportion of female group members.
Groups where a few people dominated the conversation had less collective intelligence than groups in which many members took turns talking.
Social sensitivity, or the ability to empathize with and appreciate another’s viewpoint, is the only predictor that reached statistical significance. Social sensitivity was measured by the “Reading the Mind in the Eyes” test, which measures how well one can make inferences about what others are thinking or feeling simply by looking at the eyes.
Collective intelligence is positively correlated with the proportion of females in the group, as women score higher on social sensitivity. Groups with more females had a higher collective social sensitivity, leading to a higher collective intelligence.
Group cohesion, satisfaction, and motivation were not found to be predictors of collective intelligence.
In short, collective intelligence exists, and is largely determined by group composition and group dynamics.
Collective intelligence appears to be only moderately correlated with individual group members’ intelligence. The results hold regardless of group size.