The Cost of interference in evolving multiagent systems.

The Anh Han, Long Tran-Thanh, Nicholas R. Jennings

    Research output: Contribution to conferencePaperpeer-review

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    Abstract

    We study the situation of a decision-maker who aims to encourage the players of an evolutionary game theoretic system to follow cer- tain desired behaviours. To do so, she can interfere in the system to reward her preferred behavioural patterns. However, this action requires certain cost (e.g., resource consumption). Given this, her main goal is to maintain an efficient trade-off between achieving the desired system status and minimising the total cost spent. Our results reveal interesting observations, which suggest that further investigations in the future are required.
    Original languageEnglish
    Publication statusPublished - 2015
    Event14th International Conference on Autonomous Agents and Multiagent Systems - Istanbul Congress Centre, Istanbul, Turkey
    Duration: 4 May 20158 May 2015
    http://www.ifaamas.org/AAMAS/aamas2015/

    Conference

    Conference14th International Conference on Autonomous Agents and Multiagent Systems
    Abbreviated titleAAMAS
    CountryTurkey
    CityIstanbul
    Period4/05/158/05/15
    Internet address

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