project . 2016 - 2019 . Closed

FourCmodelling

Conflict, Competition, Cooperation and Complexity: Using Evolutionary Game Theory to model realistic populations
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 690817 Call for proposal: H2020-MSCA-RISE-2015
  • Funded under: H2020 | MSCA-RISE Overall Budget: 243,000 EURFunder Contribution: 216,000 EUR
  • Status: Closed
  • Start Date
    01 Jan 2016
    End Date
    31 Dec 2019
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
Real animals and human populations are complex, involving structural relationships depending upon space and time and varied interactions between potentially many individuals. Human societies feature family units, communities, companies and nations. Some animal also have complex societies, such as primate groups and social insect colonies. Single organisms themselves can be thought of as complex ecosystems, host to many interacting life forms. Models of populations are necessarily idealised, and most involve either simple pairwise interactions or "well-mixed" structureless populations, or both. In this project we shall develop game-theoretical models, both genera...
Description
Real animals and human populations are complex, involving structural relationships depending upon space and time and varied interactions between potentially many individuals. Human societies feature family units, communities, companies and nations. Some animal also have complex societies, such as primate groups and social insect colonies. Single organisms themselves can be thought of as complex ecosystems, host to many interacting life forms. Models of populations are necessarily idealised, and most involve either simple pairwise interactions or "well-mixed" structureless populations, or both. In this project we shall develop game-theoretical models, both genera...
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