Article

Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model

Authors:

W. T. Luke Teacy,

Jigar Patel,

Nicholas R. Jennings,

Michael LuckAuthors Info & Claims

AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems

Pages 997 - 1004

https://doi.org/10.1145/1082473.1082624

Published: 25 July 2005 Publication History

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Abstract

This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems. The following are key drivers for our model: (1) agents may be self-interested and may provide false accounts of experiences with other agents if it is beneficial for them to do so; (2) agents will need to interact with other agents with which they have little or no past experience. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent's trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents. When there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate.

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Cited By

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Tahsiri A(2023)Development of a Graph-Based Model for Trust Management in Collaborative WorkSN Computer Science10.1007/s42979-023-02125-04:5Online publication date: 23-Aug-2023
https://doi.org/10.1007/s42979-023-02125-0
Singh AChatterjee K(2023)Trust management in online computing environment: a complete reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04676-915:1(491-545)Online publication date: 14-Sep-2023
https://doi.org/10.1007/s12652-023-04676-9
Barakat LTaylor PGriffiths NMiles S(2022)A Reputation-based Framework for Honest Provenance ReportingACM Transactions on Internet Technology10.1145/350790822:4(1-31)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3507908
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Index Terms

Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

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Published In

AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems

July 2005

1407 pages

ISBN:1595930930

DOI:10.1145/1082473

Program Chairs:
Michal Pechoucek
Czech Republic
,
Donald Steiner
USA
,
Simon Thompson
UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 25 July 2005

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AAMAS05: AAMAS '05 - Fourth International Joint Conference on Autonomous Agents and Multiagent Systems 2005

July 25 - 29, 2005

The Netherlands

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Tahsiri A(2023)Development of a Graph-Based Model for Trust Management in Collaborative WorkSN Computer Science10.1007/s42979-023-02125-04:5Online publication date: 23-Aug-2023
https://doi.org/10.1007/s42979-023-02125-0
Singh AChatterjee K(2023)Trust management in online computing environment: a complete reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04676-915:1(491-545)Online publication date: 14-Sep-2023
https://doi.org/10.1007/s12652-023-04676-9
Barakat LTaylor PGriffiths NMiles S(2022)A Reputation-based Framework for Honest Provenance ReportingACM Transactions on Internet Technology10.1145/350790822:4(1-31)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3507908
Dang FLi SYan LLi D(2022)An Enhanced Dynamic Trust Model Based on Power Internet of Things2022 14th International Conference on Communication Software and Networks (ICCSN)10.1109/ICCSN55126.2022.9817593(34-39)Online publication date: 10-Jun-2022
https://doi.org/10.1109/ICCSN55126.2022.9817593
Farahani G(2021)Black Hole Attack Detection Using K-Nearest Neighbor Algorithm and Reputation Calculation in Mobile Ad Hoc NetworksSecurity and Communication Networks10.1155/2021/88141412021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/8814141
Lu GLu J(2020)Background Review for Neural Trust and Multi-Agent SystemNatural Language Processing10.4018/978-1-7998-0951-7.ch001(1-22)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0951-7.ch001
Alsenani YCrosby GAhmed KVelasco T(2020)ProTrust: A Probabilistic Trust Framework for Volunteer Cloud ComputingIEEE Access10.1109/ACCESS.2020.30090518(135059-135074)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3009051
Liu B(2020)A Survey on Trust Modeling from a Bayesian PerspectiveWireless Personal Communications10.1007/s11277-020-07097-5Online publication date: 24-Jan-2020
https://doi.org/10.1007/s11277-020-07097-5
Hu BZhao XZhang CJin YWei B(2020)A Contract Based User-Centric Computational Trust Towards E-GovernanceWeb Services – ICWS 202010.1007/978-3-030-59618-7_9(133-149)Online publication date: 19-Sep-2020
https://doi.org/10.1007/978-3-030-59618-7_9
Thakur SBreslin J(2019)A Robust Reputation Management Mechanism in the Federated CloudIEEE Transactions on Cloud Computing10.1109/TCC.2017.26890207:3(625-637)Online publication date: 1-Jul-2019
https://doi.org/10.1109/TCC.2017.2689020
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Dynamically learning sources of trust information: experience vs. reputation

TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources

The Role of Reputation on Trust and Loyalty: A Cross-Cultural Analysis of Tablet E-Tailing

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Dynamically learning sources of trust information: experience vs. reputation

TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources

The Role of Reputation on Trust and Loyalty: A Cross-Cultural Analysis of Tablet E-Tailing

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