Artificial Swarm Intelligence

Published on March 12, 2019


The technology of Artificial Swarm Intelligence (ASI) has been shown to substantially amplify the collective insights and significantly increase predictive accuracy of human groups. It works by connecting teams of networked users into real-time systems moderated by AI algorithms. Sometimes referred to as “human swarms” or “hive minds” or “Swarm AI”, these systems function quite differently than traditional methods for tapping the wisdom of human populations. Unlike votes, polls, surveys, or prediction markets, which treat each participant as a source of passive data for statistical aggregation, “swarming” treats each person as an active member of a real-time control system, enabling the full population to think together in synchrony and converge on optimized solutions as a unified amplified intelligence. Built using AI algoirithms modeled after swarms in nature, these real-time ASI systems have been shown to amplify group intelligence across a wide range of tasks, from financial forecasting and business decision-making to medical diagnosis and sports handicapping. This paper provides an overview of Artificial Swarm Intelligence technology and presents a survey of recent published studies that quantify performance. This paper also references a publically available platform called “Swarm” that enables business-teams to quickly leverage the benefits of ASI technology.


Gregg Willcox

Gregg Willcox is the Director of Research and Development at Unanimous AI, a California company focused on the amplification of human intelligence using AI algorithms modeled after natural swarms. He studied Physics and Systems Engineering before discovering robotics and AI, earning getting his Masters in Robotics from Washington University in St. Louis. Gregg has published numerous papers on artificial intelligence, machine learning, and the use of Swarm Intelligence as a basis for amplifying the intelligence of human groups.

Louis Rosenberg

Louis Rosenberg, PhD is CEO and Chief Scientist of Unanimous AI, a California company focused on amplifying the intelligence of networked human groups using AI algorithms modeled after natural swarms. Rosenberg attended Stanford University where he earned his Bachelor’s, Master’s, and PhD degrees. His doctoral work focused on robotics, virtual reality, and human-computer interaction. While working as a researcher at the U.S. Air Force’s Armstrong Labs in the early 1990s, Rosenberg created the ‘Virtual Fixtures’ system, the first immersive Augmented Reality platform ever built. Rosenberg then founded Immersion Corporation to pursue virtual reality technologies. As CEO of Immersion, he brought the company public in 1999 (NASDAQ: IMMR). Rosenberg also founded Microscribe, maker of the world’s first desktop 3D digitizer – the Microscribe 3D – which has been used in the production of many feature films, including Shrek, Ice Age, A Bugs Life, and Titanic. Rosenberg has also worked as a tenured Professor at California State University (Cal Poly), teaching design and entrepreneurship. Rosenberg has been awarded more than 300 patents for his technological efforts.

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