Artificial Swarm Intelligence vs Vegas Betting Markets

Rosenberg, Louis; Willcox, Gregg

doi:10.1109/dese.2018.00014

Cited by 12 publications

(3 citation statements)

References 6 publications

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“…Still, researchers have demonstrated that aggregating the input of humans via ASI is capable of producing more accurate forecasts than largescale prediction markets. 79 In sum, ASI includes some of the positive qualities of pooling intelligence found in surveys, groups, crowds, and prediction markets and minimizes some of the limiting aspects. In particular, three qualities of ASI-swarm size, its method of pooling intelligence, and its use of confidence scores-enable swarms to make better predictions about known unknowns than other methods.…”

Section: Comparing Asi With Other Methods Of Pooling Intelligencementioning

confidence: 99%

Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making

Metcalf

Askay

Rosenberg³

2019

California Management Review

140

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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 groups, and facilitates better business decisions. It demonstrates of how ASI has been used by businesses to harness the diverse perspectives that individual participants bring to groups and to facilitate convergence upon decisions. It advances the understanding of how artificial intelligence (AI) can be used to enhance, rather than replace, teams as they collaborate to make business decisions.

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Section: Comparing Asi With Other Methods Of Pooling Intelligencementioning

confidence: 99%

Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making

Metcalf

Askay

Rosenberg³

2019

California Management Review

140

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“…Within the human realm, Rosenberg (2015) defines such groupings as a "unified dynamic system" with "collective behavior tightly coordinated by real-time feedback loops." This not only implies teamwork, collective deliberation, and goal orientation (Blee, 2013;Rosenberg & Willcox, 2018) but also flexibility, robustness, and self-organization (Bonabeau & Meyer, 2000). Acting as a massive computational system where its constituent components function in parallel, a collective intelligence is capable of surviving when faced with disturbances due to its high redundancy (Beni, 2004).…”

Section: Collective Consciousness and Soft Singularitiesmentioning

confidence: 99%

The Technological Singularity as the Emergence of a Collective Consciousness: An Anthropological Perspective

O'Lemmon

2020

Bulletin of Science, Technology & Society

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The technological singularity is popularly envisioned as a point in time when (a) an explosion of growth in artificial intelligence (AI) leads to machines becoming smarter than humans in every capacity, even gaining consciousness in the process; or (b) humans become so integrated with AI that we could no longer be called human in the traditional sense. This article argues that the technological singularity does not represent a point in time but a process in the ongoing construction of a collective consciousness. Innovations from the earliest graphic representations to the present reduced the time it took to transmit information, reducing the cognitive space between individuals. The steady pace of innovations ultimately led to the communications satellite, fast-tracking this collective consciousness. The development of AI in the late 1960s has been the latest innovation in this process, increasing the speed of information while allowing individuals to shape events as they happen.

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“…Advances in networking technology and artificial intelligence have led to the development of Artificial Swarm Intelligence (ASI) systems that provides a way for groups of humans to quickly reach a consensus in a way that overcomes these limitations. ASI has been found to significantly amplify decision-making accuracy in human groups across a wide range of tasks [34,35,27], from forecasting [32,33] to subjective judgments [2,39] and prioritizations [36]. Indeed, groups can achieve consensus in less than 60 seconds, while also limiting social influence from group members through anonymous deliberation in a way that captures group dynamics.…”

Section: Introductionmentioning

confidence: 99%

Measuring Group Personality with Swarm AI

Willcox¹

2020

IJTransAI

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The aggregation of individual personality assessments 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 realworld 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 collectively complete a personality assessment, whereby the team uses ASI to converge upon answers that best represent the group’s disposition. In the present study, the group personality of 94 small teams was assessed by having teams take a standard Big Five Inventory (BFI) assessment both as individuals, and as a realtime system enabled by an ASI technology known as Swarm AI. The predictive accuracy of each personality assessment method was assessed by correlating the BFI personality traits to a range of real-world performance metrics. The results showed that assessments of personality generated using Swarm AI were far more predictive of team performance than the traditional aggregation methods, showing at least a 91.8% increase in average correlation with the measured outcome variables, and in no case showing a significant decrease in predictive performance. This suggests that Swarm AI technology may be used as a highly effective team personality assessment tool that more accurately predicts future team performance than traditional survey approaches.

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Artificial Swarm Intelligence vs Vegas Betting Markets

Cited by 12 publications

References 6 publications

Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making

Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making

The Technological Singularity as the Emergence of a Collective Consciousness: An Anthropological Perspective

Measuring Group Personality with Swarm AI

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