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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Обмен на изследователи2016–2019

FourCmodelling · Conflict, Competition, Cooperation and Complexity: Using Evolutionary Game Theory to model realistic populations

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2016-01-01 → 2019-12-31
Финансиране от ЕС
216 000 €
Участници
11
Схема
MSCA-RISE

Линиите свързват координатора с партньорите.

Накратко на български

Еволюционната теория на игрите се използва за моделиране на сложни взаимодействия в популации, като например разпространението на епидемии в социални мрежи. Това помага да се разбере как конфликтът, конкуренцията и сътрудничеството влияят върху поведението на хора, животни и ракови клетки.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

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, 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 are developing 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 focus on the themes of Conflict, Competition, Cooperation and Complexity inherent in the majority of real populations. There are four complementary sub-projects within the overall project. The first focuses on developing a general theory of modelling multiplayer evolutionary games in structured populations, and feeds into each of the other three sub-projects. The second considers complex foraging games, in particular games under time constraints and involving sequential decisions relating to patch choice. The third involves modelling human social behaviours, a particular example being epidemic cascades on social networks. The final sub-project models cancer as a complex adaptive system, where a population of tumour, normal and immune cells evolve within a human ecosystem. The four sub-projects have been developed in parallel fostered by frequent research visits and interactions, each involving a team comprising of EU and North American researchers, and feed into each other through regular interactions and meetings. The aim is to develop a rich, varied but consistent theory with wide applicability."

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.""

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз