Daniil Musatov - “Fair division on a graph and of a graph“ | MoCCA’20
The talk “Fair division on a graph and of a graph“ by Daniil Musatov on the Moscow Conference on Combinatorics and Applications at MIPT.
Annotation:
Fair division is a vast topic that brings attention of mathematicians and economists for decades. The general framework is the following: some set of agents want to split among themselves some set of goods such that some fairness condition is satisfied. An additional network structure may be added to the set of agents as well as to the set of goods. We call the first framework fair division on a graph and the second one - fair division of a graph. In these settings some new notions of fairness emerge. For instance, when a network of agents is specified, local envy-freeness means that every agent values her own bundle more than the bundle of any of her neighbors. In the same setting local proportionality means that every agent thinks that his bundle is at least as valuable as the average of his neighbors’ bundles. When a network of goods is
1 view
3508
1052
7 months ago 00:04:21 1
Так же как все - Помоги мне - Бозоны Хиггса
7 months ago 01:14:26 9
Математическая логика и теория алгоритмов. 4. Системы функций. Критерий Поста
8 months ago 02:09:27 1
Дом Культуры Юрия Мамина Выпуск 91 / House of Culture by Yuri Mamin Episode 91
1 year ago 01:46:54 1
Дом Культуры Юрия Мамина Выпуск 87 / House of Culture by Mamin Episode 87
1 year ago 01:01:45 16
P=NP?
1 year ago 01:14:46 1
Математическая логика и теория алгоритмов 1. Формальные языки
1 year ago 01:46:55 2
Криптография 1. Синопсис курса, односторонние функции, теорема об усилении
1 year ago 02:11:00 1
Дом Культуры Юрия Мамина Выпуск 77 / House of Culture by Mamin Episode 77
1 year ago 03:10:46 10
Первенство городского округа Самара по боксу среди юношей и юниоров. День 3
2 years ago 00:10:04 5
Нет ничего важнее здоровья ребёнка
2 years ago 01:15:52 4
Криптография 6. Схемы привязки к биту, орлянка по телефону
2 years ago 01:11:07 2
Криптография 4. Семейство псевдослучайных функций.