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Louis Rosenberg
Swarm intelligenceSwarm behaviourComputer scienceParticle swarm optimizationCollective intelligence
16Publications
3H-index
38Citations
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Publications 23
Newest
#1Gregg WillcoxH-Index: 2
#2Louis RosenbergH-Index: 3
Last. Colin Domnauer (UC: University of California)
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Swarm Intelligence (SI) is a natural phenomenon in which social organisms amplify their decision-making abilities by forming real-time systems that converge on optimized solutions. It has been studied extensively in schools of fish, flocks of birds, and swarms of bees. In recent years, a new technology called Artificial Swarm Intelligence (ASI) has enabled human groups to form similar systems over computer networks. While “human swarms” have been shown to be more accurate than traditional method...
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#1Gregg WillcoxH-Index: 2
#2Louis RosenbergH-Index: 3
Last. Colin Domnauer (University of California, Berkeley)
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Many species reach group decisions by deliberating in real-time systems. This natural process, known as Swarm Intelligence (SI), has been studied extensively in a range of social organisms, from schools of fish to swarms of bees. A new technique called Artificial Swarm Intelligence (ASI) has enabled networked human groups to reach decisions in systems modeled after natural swarms. The present research seeks to understand the behavioral dynamics of such “human swarms.” Data was collected from ten...
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#1Bhavik N. Patel (Stanford University)H-Index: 13
#2Louis RosenbergH-Index: 3
Last. Matthew P. Lungren (Stanford University)H-Index: 17
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#1Bhavik N. Patel (Stanford University)H-Index: 13
#2Louis RosenbergH-Index: 3
Last. Matthew P. Lungren (Stanford University)H-Index: 17
view all 19 authors...
Human-in-the-loop (HITL) AI may enable an ideal symbiosis of human experts and AI models, harnessing the advantages of both while at the same time overcoming their respective limitations. The purpose of this study was to investigate a novel collective intelligence technology designed to amplify the diagnostic accuracy of networked human groups by forming real-time systems modeled on biological swarms. Using small groups of radiologists, the swarm-based technology was applied to the diagnosis of ...
2 CitationsSource
#1Gregg WillcoxH-Index: 2
#2Louis RosenbergH-Index: 3
Last. Hans SchumannH-Index: 1
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Sales forecasts are critical to businesses of all sizes, enabling teams to project revenue, prioritize marketing, plan distribution, and scale inventory levels. Research shows, however, that sales forecasts of new products are highly inaccurate due to scarcity of historical data and weakness in subjective judgements required to compensate for lack of data. The present study explores sales forecasting performed by human groups and compares the accuracy of group forecasts generated by traditional ...
1 CitationsSource
#1Louis RosenbergH-Index: 3
#2Gregg WillcoxH-Index: 2
Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of bees. This paper provides an overview of a new collaboration technology called Artificial Swarm Intelligence (ASI) that brings the same benefits to ne...
1 CitationsSource
#1Hans SchumannH-Index: 1
#2Gregg WillcoxH-Index: 2
Last. Niccolo Pescetelli (MIT: Massachusetts Institute of Technology)H-Index: 1
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Many social species amplify their decision-making accuracy by deliberating in real-time closed-loop systems. Known as Swarm Intelligence (SI), this natural process has been studied extensively in schools of fish, flocks of birds, and swarms of bees. The present research looks at human groups and tests their ability to make financial forecasts by working together in systems modeled after natural swarms. Specifically, groups of financial traders were tasked with forecasting the weekly trends of fo...
1 CitationsSource
#1Gregg WillcoxH-Index: 2
#2David A. Askay (California Polytechnic State University)H-Index: 4
Last. Richard Liu (University of California, Berkeley)H-Index: 1
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The aggregation of individual personality tests to predict team performance is widely accepted in management theory but has significant limitations: the isolated nature of individual personality surveys fails to capture much of the team dynamics that drive real-world team performance. Artificial Swarm Intelligence (ASI), a technology that enables networked teams to think together in real-time and answer questions as a unified system, promises a solution to these limitations by enabling teams to ...
1 CitationsSource
#1Gregg WillcoxH-Index: 2
#2Louis RosenbergH-Index: 3
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 could do on their own. In recent years, a new AI technology called Artificial Swarm Intelligence (ASI) has been developed that enables similar benefits for human teams. It works by connecting networked teams into real-time systems modeled on natural swarms. Referred to commonly as "human swarms" or "hive mi...
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#1Lynn E. Metcalf (California Polytechnic State University)H-Index: 13
#2David A. Askay (California Polytechnic State University)H-Index: 4
Last. Louis RosenbergH-Index: 3
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This article explores how a collaboration technology called Artificial Swarm Intelligence (ASI) addresses the limitations associated with group decision making, amplifies the intelligence of human ...
2 CitationsSource
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