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FourCmodelling

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Conflict Competition Cooperation and Complexity Using Evolutionary Game Theor...

Conflict Competition Cooperation and Complexity Using Evolutionary Game Theory to model realistic populations "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, com... ver más

31/12/2019

CITY

243K€

Presupuesto del proyecto: 243K€

Líder del proyecto

CITY UNIVERSITY OF LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-12-31

MSCA-RISE-2015: Marie Skłodowska-Curie Research and...

I+D

Cerrada hace 9 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

CITY

45.00K€ | Lider

UNIVERSITEIT MAASTRICHT

49.50K€ | Participante

WILFRID LAURIER UNIVERSITY

27.00K€ | Participante

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Duración del proyecto: 49 meses Fecha Inicio: 2015-11-30
Fecha Fin: 2019-12-31

Líder del proyecto

CITY UNIVERSITY OF LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 243K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "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 general and focused on specific real population scenarios, which incorporate population structure and within population interactions which are both complex in character. We will focus on the themes of Conflict, Competition, Cooperation and Complexity inherent in the majority of real populations. There will be four complementary subprojects within the overall project. The first will focus on developing a general theory of modelling multiplayer evolutionary games in structured populations, and will feed into each of the other three subprojects. The second will consider complex foraging games, in particular games under time constraints and involving sequential decisions relating to patch choice. The third will involve developing computational models of spatio-temporal dynamics for the modelling of pandemics. The final subproject will model cancer as a complex adaptive system, where a population of tumour, normal and immune cells evolve within a human ecosystem. The four subprojects will be developed in parallel fostered by frequent research visits and interactions, each involving a team comprising of EU and North American researchers, and will feed into each other through regular interactions and meetings. The aim is to develop a rich, varied but consistent theory with wide applicability."

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