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Evidence Propagation and Consensus Formation in Noisy Environments: Extended Abstract

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

Original languageEnglish
Title of host publicationthe Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
Publisher or commissioning bodyInternational Foundation for Autonomous Agents and MultiAgent Systems
Pages1904-1906
Number of pages3
ISBN (Print)978-1-4503-6309-9
DateAccepted/In press - 23 Jan 2019
DatePublished (current) - 13 May 2019
EventInternational Conference on Autonomous Agents and Multiagent Systems - Montreal, Canada
Duration: 5 May 201917 May 2019
http://aamas2019.encs.concordia.ca/

Publication series

NameAAMAS Conference proceedings
PublisherInternational Foundation for Autonomous Agents and MultiAgent Systems
ISSN (Print)2523-5699

Conference

ConferenceInternational Conference on Autonomous Agents and Multiagent Systems
Abbreviated titleAAMAS 2019
CountryCanada
CityMontreal
Period5/05/1917/05/19
Internet address

Abstract

We study the effectiveness of consensus formation in multi-agent systems where belief updating is an iterative two-part process, consisting of both belief updating based on direct evidence and also belief combination between agents, within the context of a best-of-n problem. Agents’ beliefs are represented within Dempster-Shafer theory by mass functions and we investigate the macro-level properties of four well-known belief combination operators: Dempster’s rule, Yager’s rule, Dubois & Prade’s operator and the averaging operator. Simulation experiments are conducted for different evidence rates and noise levels. Broadly, Dubois & Prade’s operator results in better convergence to the best state, and is more robust to noisy evidence.

    Research areas

  • Consensus formation, evidence propagation, noisy decision-making, emergent behaviour, distributed problem solving

Event

International Conference on Autonomous Agents and Multiagent Systems

Abbreviated titleAAMAS 2019
Duration5 May 201917 May 2019
CityMontreal
CountryCanada
Web address (URL)
Degree of recognitionInternational event

Event: Conference

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via International Foundation for Autonomous Agents and MultiAgent Systems at http://www.ifaamas.org/Proceedings/aamas2019/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 726 KB, PDF document

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