Evidence map›Paper›PMID 29343692›Full record

ArticleScientific reports2018

Symmetric Decomposition of Asymmetric Games.

Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani, Joel Z Leibo, Toby Ord, Thore Graepel, Shane Legg

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Karl TuylsGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK. karltuyls@google.com.
Julien PérolatGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK.
Marc LanctotGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK.
Georg OstrovskiGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK.
Rahul SavaniDept. of Computer Science, University of Liverpool, Ashton Street, L69 3BX, Liverpool, UK.ORCID http://orcid.org/0000-0003-1262-7831
Joel Z LeiboGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK.
Toby OrdFaculty of Philosophy, Oxford University, Woodstock Road, OX2 6GG, Oxford, UK.ORCID http://orcid.org/0000-0003-4644-016X
Thore GraepelGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK.
Shane LeggGoogle DeepMind, 6 Pancras Square, N1C 4AG, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce new theoretical insights into two-population asymmetric games allowing for an elegant symmetric decomposition into two single population symmetric games. Specifically, we show how an asymmetric bimatrix game (A,B) can be decomposed into its symmetric counterparts by envisioning and investigating the payoff tables (A and B) that constitute the asymmetric game, as two independent, single population, symmetric games. We reveal several surprising formal relationships between an asymmetric two-population game and its symmetric single population counterparts, which facilitate a convenient analysis of the original asymmetric game due to the dimensionality reduction of the decomposition. The main finding reveals that if (x,y) is a Nash equilibrium of an asymmetric game (A,B), this implies that y is a Nash equilibrium of the symmetric counterpart game determined by payoff table A, and x is a Nash equilibrium of the symmetric counterpart game determined by payoff table B. Also the reverse holds and combinations of Nash equilibria of the counterpart games form Nash equilibria of the asymmetric game. We illustrate how these formal relationships aid in identifying and analysing the Nash structure of asymmetric games, by examining the evolutionary dynamics of the simpler counterpart games in several canonical examples.

Indexed as

Games, ExperimentalModels, StatisticalFemaleGame TheoryHumansMale

Identifiers

PMID29343692
PMCPMC5772550

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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.