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Collective Intelligence is a peer-reviewed journal published by ACM, covering Opinion Dynamics and Social Influence, Evolutionary Game Theory and Cooperation, Complex Network Analysis Techniques. Over its lifetime it has published 77 papers, which have received 531 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. Collective Intelligence 12, 3, Article 45 (2023).
Formats any DOI in Collective Intelligence style. No sign-up. |
| Publishes research in | Opinion Dynamics and Social Influence Evolutionary Game Theory and Cooperation Complex Network Analysis Techniques Experimental Behavioral Economics Studies Team Dynamics and Performance |
| ISSN | 2633-9137 |
| Citation impact (2-yr) | 3.1 |
| h-index | 13 |
| i10-index | 18 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Santa Fe Institute |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In the past decade, we have witnessed the rise of deep learning to dominate the field of artificial intelligence. Advances in artificial neural networks alongside corresponding advances in hardware accelerators with large memory capacity, together with the availability of large datasets enabled practitioners to train and deploy sophisticated neural network models that achieve state-of-the-art performance…
Collective intelligence and individual intelligence are usually considered to be fundamentally different. Individual intelligence is uncontroversial. It occurs in organisms with special neural machinery, evolved by natural selection to enable cognitive and learning functions that serve the fitness benefit of the organism, and then trained through lifetime experience to maximise individual rewards. Whilst the mechanisms…
This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosystem of natural and synthetic sense-making, in which humans are integral participants—what we call “shared intelligence.” This vision is premised on active inference, a formulation of adaptive…
We discuss measures of collective intelligence in evolved and designed self-organizing ensembles, defining collective intelligence in terms of the benefits to be gained through the exchange of information and other resources, as well as through coordination or cooperation, in the interests of a public good. These benefits can be numerous, from estimating a hard-to-observe cue…
Society is characterized by the presence of a variety of social norms: collective patterns of sanctioning that can prevent miscoordination and free-riding. Inspired by this, we aim to construct learning dynamics where potentially beneficial social norms can emerge. Since social norms are underpinned by sanctioning, we introduce a training regime where agents can access all…
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