Analysis of the expected density of internal equilibria in random evolutionary multi-player multi-strategy games
- Submitting institution
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Teesside University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4035842
- Type
- D - Journal article
- DOI
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10.1007/s00285-016-1010-8
- Title of journal
- Journal of Mathematical Biology
- Article number
- -
- First page
- 1727
- Volume
- 73
- Issue
- 6-7
- ISSN
- 0303-6812
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a new approach that combines Evolutionary Game Theory and Random Polynomial Theory, to investigate general properties (e.g. the average number of stable equilibrium points) in random evolutionary games with an arbitrary number of players and arbitrary number strategies. Following this approach, several recent analyses of such properties have been possible, including Duong et al, 2018 (10.1007/s00285-018-1276-0) and Duong et al, 2018 (10.1007/s13235-018-0276-4). The research results from a collaboration funded by the London Mathematical Society.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -