Evidence map›Paper›PMID 35582657›Full record

ArticleRoyal Society open science2022

Evolution of cooperation and trust in an N-player social dilemma game with tags for migration decisions.

Sandeep Dhakal, Raymond Chiong, Manuel Chica, The Anh Han

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sandeep DhakalSchool of Information and Physical Sciences, The University of Newcastle, Callaghan, New South Wales 2308, Australia.ORCID 0000-0001-7413-2530
Raymond ChiongSchool of Information and Physical Sciences, The University of Newcastle, Callaghan, New South Wales 2308, Australia.ORCID 0000-0002-8285-1903
Manuel ChicaSchool of Information and Physical Sciences, The University of Newcastle, Callaghan, New South Wales 2308, Australia.ORCID 0000-0002-4717-1056
The Anh HanDepartment of Computing and Games, Teesside University, Middlesbrough, Tees Valley, UK.ORCID 0000-0002-3095-7714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an evolutionary game model that integrates the concept of tags, trust and migration to study how trust in social and physical groups influence cooperation and migration decisions. All agents have a tag, and they gain or lose trust in other tags as they interact with other agents. This trust in different tags determines their trust in other players and groups. In contrast to other models in the literature, our model does not use tags to determine the cooperation/defection decisions of the agents, but rather their migration decisions. Agents decide whether to cooperate or defect based purely on social learning (i.e. imitation from others). Agents use information about tags and their trust in tags to determine how much they trust a particular group of agents and whether they want to migrate to that group. Comprehensive experiments show that the model can promote high levels of cooperation and trust under different game scenarios, and that curbing the migration decisions of agents can negatively impact both cooperation and trust in the system. We also observed that trust becomes scarce in the system as the diversity of tags increases. This work is one of the first to study the impact of tags on trust in the system and migration behaviour of the agents using evolutionary game theory.

Indexed as

evolution of cooperationmigrationN-player gamestagstrust

Identifiers

PMID35582657
PMCPMC9091842

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.