Argumentation-Based Multi-Agent Decision Making with Privacy Preserved

Yang Gao, Francesca Toni, Hao Wang, Fanjiang Xu

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


We consider multi-agent decision making problems in which agents need to communicate with other agents to make socially optimal decisions but, at the same time, have some private information that they do not want to share. Abstract argumentation has been widely used in both single-agent and multi-agent decision making problems, because of its ability for reasoning with incomplete and conflicting information. In this work, we propose an abstract argumentation-based knowledge representation and communication protocol, such that agents can find socially optimal strategies by only disclosing the `necessary' and `disclosable' information. We prove that our protocol is sound, efficient, of perfect information security and guaranteed to terminate.
Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Number of pages9
ISBN (Electronic)978-1-4503-4239-1
Publication statusPublished - 9 May 2016

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