39043

Автор(ы): 

Новиков Д. А. (ИПУ РАН, Лаборатория 57)

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Incentive Mechanisms for Multi-agent Organizational Systems

Сведения об издании: 

Editors: Różewski, P., Novikov, D., Bakhtadze, N., Zaikin, O.

DOI: 

10.1007/978-3-319-23338-3_2

Наименование источника: 

  • New Frontiers in Information and Production Systems Modeling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production

Город: 

  • Berlin

Издательство: 

  • Springer

Год издания: 

2016

Страницы: 

35-57
Аннотация
This work considers game-theoretic models of incentive mechanisms for multi-agent organizational systems. Three main principles of optimal incentive scheme design for interacting agents are derived, namely, the principle of compensation, the principle of decomposition and the principle of aggregation. Models of agents’ self-coordination are explored in terms of side-payoff games. And finally, we study identification problems for agents’ preferences

Библиографическая ссылка: 

Новиков Д.А. Incentive Mechanisms for Multi-agent Organizational Systems / New Frontiers in Information and Production Systems Modeling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production. Berlin: Springer, 2016. С. 35-57.