Evidence map›Paper›PMID 41306126›Full record

ArticleEvolutionary human sciences2025

The cultural macroevolution of arcade video games: innovation, collaboration, and collapse.

Sergi Valverde, Blai Vidiella, Andrej Spiridonov, R Alexander Bentley

Abstract read
In one paragraph

Article in Evolutionary human sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. EHS editorial 2025.Evolutionary human sciences · 2026
    Article
  2. Cultural evolution - of the arts.Evolutionary human sciences · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sergi ValverdeEvolution of Networks Lab, Institute of Evolutionary Biology, CSIC-UPF, Pg. Barceloneta 37-49, Barcelona, Spain.ORCID https://orcid.org/0000-0002-2150-9610
Blai VidiellaCentre for Biodiversity Theory and Modeling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.
Andrej SpiridonovDepartment of Geology and Mineralogy, Vilnius University, Vilnius, Lithuania.
R Alexander BentleyCenter for the Dynamics of Social Complexity (DySoC), University of Tennessee, Knoxville, TN, USA.ORCID https://orcid.org/0000-0001-9086-2197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arcade video games evolved in a constrained design space, following patterns of diversification, stabilisation, and collapse that mirror macroevolutionary processes. Despite their historical significance and detailed digital records, arcade games remain underexplored in cultural evolution research. Drawing on a dataset of 7,205 machines spanning four decades, we reconstruct the evolutionary trajectories of arcade niches using a multi-scale framework that integrates trait-level innovation, genre-level selection, and systemic constraints. We identify two contrasting dynamics: (1) resilient genres-such as Fighter and Driving-maintained long-term viability through innovation and collaboration networks, while (2) early Maze and Shooter subgenres collapsed due to imitation and weak collaboration. Morphospace analysis reveals how technological traits-specifically CPU speed and ROM size-co-evolved with gameplay complexity, shaping the viable design space. We argue that genres operated as evolving cultural-ecological units-structured niches that shaped trait evolution through reinforcement, constraint, and feedback. This multi-scale perspective positions arcade games as a rich model system for studying cultural macroevolution.

Indexed as

arcade video gamesgenreimitationmacroevolutionscaling

Identifiers

PMID41306126
PMCPMC12645339

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.