Human Swarms, a real-time method for collective intelligence

  title={Human Swarms, a real-time method for collective intelligence},
  author={Louis B. Rosenberg},
Although substantial research has explored the emergence of collective intelligence in real-time human-based collaborative systems, much of this work has focused on rigid scenarios such as the Prisoner’s Dilemma (PD. [...] Key Result We call the process “social swarming” and early real-world testing suggests it has great potential for harnessing collective intelligence.Expand
Human swarming, a real-time method for parallel distributed intelligence
Although substantial research has explored the design of artificial swarms, the majority of such work involves swarms of autonomous robots or simulated agents. Little work, however, has been done onExpand
Short Paper: Swarm Intelligence Amplifies the IQ of Collaborating Teams
This study explores the ability of ASI technology to amplify the IQ of small teams by answering a series of questions from a commonly used intelligence test known as the Raven's Standard Progressive Matrices (RSPM). Expand
Analysis of Human Behaviors in Real-Time Swarms
It is found that swarm's answer is not simply the arithmetic mean of initial individual “votes” as in a survey, suggesting a more complex mechanism is at play—one that relies on the time-varying behaviors of the participants in swarms. Expand
Artificial Swarms find Social Optima : (Late Breaking Report)
  • Louis B. Rosenberg, G. Willcox
  • Computer Science
  • 2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)
  • 2018
“swarming” was significantly more effective at enabling groups to converge on the Social Optima than three common voting methods: (i) Plurality voting, (ii) Borda Count and (iii) Condorcet pairwise voting. Expand
Swarm Intelligence used to Amplify the IQ of Collaborating Teams
In the natural world, Swarm Intelligence (SI) is a well-known phenomenon that enables groups of organisms to make collective decisions with significantly greater accuracy than the individuals couldExpand
Artificial Swarm Intelligence
This paper presents the basic concepts of ASI and reviews recently published research that shows its effectiveness in amplifying the collective intelligence of human groups, increasing accuracy when groups make forecasts, generate assessments, reach decisions, and form predictions. Expand
Amplifying the Social Intelligence of Teams Through Human Swarming
Statistical analysis found that the groups working as ASI swarms had significantly higher social sensitivity than individuals working alone or groups working together by plurality vote (p<O.OOI), which suggests that when groups reach decisions as real-time ASi swarms, they make better use of their social intelligence than when working Alone or by traditional group vote. Expand
The Repeatability of Human Swarms
The results show that groups answering as swarms produce repeatable results, reaching the same answer as other groups 67% of the time, and provides powerful guidelines for groups using ASI technology to generate optimized forecasts, insights, and decisions from human swarms sampled from general populations. Expand
Artificial Swarm Intelligence, a Human-in-the-Loop Approach to A.I
UNU is introduced, an online platform that enables networked users to assemble in real-time swarms and tackle problems as an Artificial Swarm Intelligence (ASI), Modeled after biological swarms, UNU enables large groups of networking users to work together inreal time synchrony, forging a unified dynamic system that can quickly answer questions and make decisions. Expand
HuGoS: a virtual environment for studying collective human behavior from a swarm intelligence perspective
Swarm intelligence studies self-organized collective behavior resulting from interactions between individuals, typically in animals and artificial agents. Some studies from cognitive science haveExpand


Dynamic social networks promote cooperation in experiments with humans
Experimental evidence is presented of the power of using strategic link formation and dissolution, and the network modification it entails, to stabilize cooperation in sizable groups of people, and of the important role that dynamic social networks can play in supporting large-scale human cooperation. Expand
How selection pressure changes the nature of social dilemmas in structured populations
When members of a population engage in dyadic interactions reflecting a prisoner's dilemma game, the evolutionary dynamics depends crucially on the population structure, described by means of graphsExpand
The evolution of cooperation.
A model is developed based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game to show how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established. Expand
The role of diversity in the evolution of cooperation.
How social diversity, in several of its flavors, catalyzes cooperative behavior is discussed and diversity in social contexts can arise from the individual capacity for organizing their social ties. Expand
Social Influence Bias: A Randomized Experiment
A large-scale randomized experiment on a social news aggregation Web site was designed and analyzed to investigate whether knowledge of such aggregates distorts decision-making, and found positive herding was topic-dependent and affected by whether individuals were viewing the opinions of friends or enemies. Expand
Moral Tribes: Emotion, Reason, and the Gap Between Us and Them
Our brains were designed for tribal life, for getting along with a select group of others (Us), and for fighting off everyone else (Them). But modern life has thrust the world's tribes into a sharedExpand
Human Swarms, a real-time method for collective intelligence
Modeled after biological swarms, the UNUM platform enables online groups to work in real-time synchrony, collaboratively exploring a decision-space and converging on preferred solutions in a matter of seconds. Expand