Han, The Anh, Lynch, Simon, Tran-Thanh, Long and Santos, Francisco C. (2018) Fostering cooperation in structured populations through local and global interference strategies. In Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. vol. 2018-July, International Joint Conferences on Artificial Intelligence. pp. 289-295 .
Abstract
We study the situation of an exogenous decision-maker aiming to encourage a population of autonomous, self-regarding agents to follow a desired behaviour at a minimal cost. The primary goal is therefore to reach an efficient trade-off between pushing the agents to achieve the desired configuration while minimising the total investment. To this end, we test several interference paradigms resorting to simulations of agents facing a cooperative dilemma in a spatial arrangement. We systematically analyse and compare interference strategies rewarding local or global behavioural patterns. Our results show that taking into account the neighbourhood's local properties, such as its level of cooperativeness, can lead to a significant improvement regarding cost efficiency while guaranteeing high levels of cooperation. As such, we argue that local interference strategies are more efficient than global ones in fostering cooperation in a population of autonomous agents.
Full text not available from this repository.
More information
Identifiers
Catalogue record
Export record
Contributors
University divisions
- Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Agents, Interactions and Complexity
School of Electronics and Computer Science > Agents, Interactions and Complexity - Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science
School of Electronics and Computer Science
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.