Evidence map›Paper›PMID 27845430›Full record

ArticleScientific reports2016

Effects of behavioral patterns and network topology structures on Parrondo's paradox.

Ye Ye, Kang Hao Cheong, Yu-Wan Cen, Neng-Gang Xie

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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. Predator Dormancy is a Stable Adaptive Strategy due to Parrondo's Paradox.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  2. 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.

Ye YeDepartment of Mechanical Engineering, Anhui University of Technology, Anhui Ma'anshan 243002, China.
Kang Hao CheongEngineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore.
Yu-Wan CenDepartment of Mechanical Engineering, Anhui University of Technology, Anhui Ma'anshan 243002, China.
Neng-Gang XieDepartment of Mechanical Engineering, Anhui University of Technology, Anhui Ma'anshan 243002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multi-agent Parrondo's model based on complex networks is used in the current study. For Parrondo's game A, the individual interaction can be categorized into five types of behavioral patterns: the Matthew effect, harmony, cooperation, poor-competition-rich-cooperation and a random mode. The parameter space of Parrondo's paradox pertaining to each behavioral pattern, and the gradual change of the parameter space from a two-dimensional lattice to a random network and from a random network to a scale-free network was analyzed. The simulation results suggest that the size of the region of the parameter space that elicits Parrondo's paradox is positively correlated with the heterogeneity of the degree distribution of the network. For two distinct sets of probability parameters, the microcosmic reasons underlying the occurrence of the paradox under the scale-free network are elaborated. Common interaction mechanisms of the asymmetric structure of game B, behavioral patterns and network topology are also revealed.

Indexed as

BehaviorGame TheoryModels, TheoreticalHumans

Identifiers

PMID27845430
PMCPMC5109481

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.