Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies

The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    We study the situation of an exogenous decisionmaker 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.
    Original languageEnglish
    Title of host publicationProceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
    PublisherIJCAI
    Pages289-295
    Number of pages7
    DOIs
    Publication statusPublished - 20 Jul 2018
    Event27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence - Stockholmsmässan, Stockholm, Sweden
    Duration: 13 Jul 201819 Jul 2018
    http://www.ijcai-18.org/

    Publication series

    NameProceedings (IITA International Joint Conference on Artificial Intelligence)
    ISSN (Electronic)2162-1160

    Conference

    Conference27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence
    Abbreviated titleIJCAI-ECAI-18
    CountrySweden
    CityStockholm
    Period13/07/1819/07/18
    Internet address

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