Beyond computational intelligence: blended intelligence

Eberhart, Russell C.; Palmer, William D.; Kirschenbaum, Marc

doi:10.1109/shbi.2015.7321679

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…The first category of environments harnesses the collective intelligence of multiple participants to solve difficult problems. Many of these environments are aimed at solving computationally intensive problems (Barrington et al 2011;Cooper et al 2010;Eberhart et al 2015;Kirschenbaum and Palmer 2015;Lin et al 2014;Jensen et al 2020). The UNUM platform (Rosenberg et al 2016;Rosenberg 2015), also referred to as Swarm AI®, lets participants collaboratively explore a decision space.…”

Section: Related Workmentioning

confidence: 99%

HuGoS: a virtual environment for studying collective human behavior from a swarm intelligence perspective

et al. 2021

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Swarm intelligence studies self-organized collective behavior resulting from interactions between individuals, typically in animals and artificial agents. Some studies from cognitive science have also demonstrated self-organization mechanisms in humans, often in pairs. Further research into the topic of human swarm intelligence could provide a better understanding of new behaviors and larger human collectives. This requires studies with multiple human participants in controlled experiments in a wide variety of scenarios, where a rich scope of possible interactions can be isolated and captured. In this paper, we present HuGoS—‘Humans Go Swarming’—a multi-user virtual environment implemented using the Unity game development platform, as a comprehensive tool for experimentation in human swarm intelligence. We demonstrate the functionality of HuGoS with naïve participants in a browser-based implementation, in a coordination task involving collective decision-making, messaging and signaling, and stigmergy. By making HuGoS available as open-source software, we hope to facilitate further research in the field of human swarm intelligence.

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Section: Related Workmentioning

confidence: 99%

HuGoS: a virtual environment for studying collective human behavior from a swarm intelligence perspective

et al. 2021

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“…A number of multi-user virtual environments have been developed for studies with human groups, in two main categories. The first category of environments use collective human gameplay or other interactions as tools for solving computationally intensive problems [2,6,9,18,23,44], rather than studying underlying cognitive or behavioral mechanisms. The second category of virtual environments are those developed primarily to study the mechanisms of collective human behavior.…”

Section: Related Workmentioning

confidence: 99%

HuGoS: A Multi-user Virtual Environment for Studying Human–Human Swarm Intelligence

Coucke

Heinrich

Cleeremans

et al. 2020

Lecture Notes in Computer Science

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The research topic of human-human swam intelligence includes many mechanisms that need to be studied in controlled experiment conditions with multiple human subjects. Virtual environments are a useful tool to isolate specific human interactions for study, but current platforms support only a small scope of possible research areas. In this paper, we present HuGoS-'Humans Go Swarming'-a multiuser virtual environment in Unity, as a comprehensive tool for experimentation in human-human swarm intelligence. We identify possible experiment classes for studying human collective behavior, and equip our virtual environment with sufficient features to support each of these experiment classes. We then demonstrate the functionality of the virtual environment in simple examples for three of the experiment classes: human collective decision making, human social learning strategies, and agent-level human interaction with artificial swarms, including robot swarms.

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“…The technology underlying the UNU platform is based on the closed-loop system dynamics found in numerous animal and insect societies that work as a group (Eberhart, Palmer, & Kirschenbaum, 2015; Seeley, 2010). Specifically, Unanimous’ technology models the decision-making processes used by swarming honeybees.…”

Section: Software For Collective Intelligencementioning

confidence: 99%

Collective Intelligence and Selecting the NCAA Men’s Basketball Tournaments

Rogers

Strudler

Baltaxe³

2019

Journal of Creative Communications

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Every year millions of people fill out brackets, trying to accurately predict the outcome of the NCAA Men’s Basketball March Madness tournament. This study examines how collective swarm intelligence might impact these choices in small groups. Rather than working by themselves, groups of people came together to combine their knowledge and opinions and pick brackets collectively. It is generally agreed that collective intelligence is effective in decision-making. However, how and why collective intelligence augments performance has not been totally agreed upon, and the theoretical explanations have been elusive. This study examines groups that are either highly dedicated or high in expertise to see whether they perform differently based on these dimensions.

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Beyond computational intelligence: blended intelligence

Cited by 7 publications

References 8 publications

HuGoS: a virtual environment for studying collective human behavior from a swarm intelligence perspective

HuGoS: a virtual environment for studying collective human behavior from a swarm intelligence perspective

HuGoS: A Multi-user Virtual Environment for Studying Human–Human Swarm Intelligence

Collective Intelligence and Selecting the NCAA Men’s Basketball Tournaments

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