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research-article

Dynamically learning sources of trust information: experience vs. reputation

Authors:

Karen K. Fullam,

K. Suzanne BarberAuthors Info & Claims

AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

Article No.: 164, Pages 1 - 8

https://doi.org/10.1145/1329125.1329325

Published: 14 May 2007 Publication History

Abstract

Trust is essential when an agent must rely on others to provide resources for accomplishing its goals. When deciding whether to trust, an agent may rely on, among other types of trust information, its past experience with the trustee or on reputations provided by third-party agents. However, each type of trust information has strengths and weaknesses: trust models based on past experience are more certain, yet require numerous transactions to build, while reputations provide a quick source of trust information, but may be inaccurate due to unreliable reputation providers. This research examines how the accuracy of experience- and reputation-based trust models is influenced by parameters such as: frequency of transactions with the trustee, trustworthiness of the trustee, and accuracy of provided reputations. More importantly, this research presents a technique for dynamically learning the best source of trust information given these parameters. The demonstrated learning technique achieves payoffs equal to those achieved by the best single trust information source (experience or reputation) in nearly every scenario examined.

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Cited By

Wang YLi FZheng HJiang LMahani MLiao Z(2024)Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics ApplicationsIEEE Open Journal of Control Systems10.1109/OJCSYS.2023.33450903(58-86)Online publication date: 2024
https://doi.org/10.1109/OJCSYS.2023.3345090
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
Tjøstheim TJohansson BBalkenius COka NKoda TObaid MNakanishi HMubin OTanaka K(2019)A Computational Model of Trust-, Pupil-, and Motivation DynamicsProceedings of the 7th International Conference on Human-Agent Interaction10.1145/3349537.3351896(179-185)Online publication date: 25-Sep-2019
https://dl.acm.org/doi/10.1145/3349537.3351896
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Published In

cover image ACM Other conferences

AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

May 2007

1585 pages

ISBN:9788190426275

DOI:10.1145/1329125

Conference Chairs:
Edmund Durfee
University of Michigan
,
Makoto Yokoo
Kyushu University
,
Program Chairs:
Michael Huhns
University of South Carolina
,
Onn Shehory
IBM Haifa Research Lab, Israel

Copyright © 2007 ACM.

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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Published: 14 May 2007

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The University of Texas Applied Research Labs Office of Naval Research

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AAMAS07

Sponsor:

AAMAS07: International Conference on Autonomous Agents and Mulitagent Systems

May 14 - 18, 2007

Hawaii, Honolulu

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

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Cited By

Wang YLi FZheng HJiang LMahani MLiao Z(2024)Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics ApplicationsIEEE Open Journal of Control Systems10.1109/OJCSYS.2023.33450903(58-86)Online publication date: 2024
https://doi.org/10.1109/OJCSYS.2023.3345090
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
Tjøstheim TJohansson BBalkenius COka NKoda TObaid MNakanishi HMubin OTanaka K(2019)A Computational Model of Trust-, Pupil-, and Motivation DynamicsProceedings of the 7th International Conference on Human-Agent Interaction10.1145/3349537.3351896(179-185)Online publication date: 25-Sep-2019
https://dl.acm.org/doi/10.1145/3349537.3351896
Usman AGutierrez J(2018)Trust-Based Analytical Models for Secure Wireless Sensor NetworksSecurity and Privacy Management, Techniques, and Protocols10.4018/978-1-5225-5583-4.ch002(47-65)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5583-4.ch002
Liu HSilvestro SWang WTian CLiu T(2018)iReplayer: in-situ and identical record-and-replay for multithreaded applicationsACM SIGPLAN Notices10.1145/3296979.319238053:4(344-358)Online publication date: 11-Jun-2018
https://dl.acm.org/doi/10.1145/3296979.3192380
Cai CZhang QZuo ZNguyen KXu GSu Z(2018)Calling-to-reference context translation via constraint-guided CFL-reachabilityACM SIGPLAN Notices10.1145/3296979.319237853:4(196-210)Online publication date: 11-Jun-2018
https://dl.acm.org/doi/10.1145/3296979.3192378
Fujiki DMahlke SDas R(2018)In-Memory Data Parallel ProcessorACM SIGPLAN Notices10.1145/3296957.317317153:2(1-14)Online publication date: 19-Mar-2018
https://dl.acm.org/doi/10.1145/3296957.3173171
Ogunniye GToniolo AOren N(2018)A Dynamic Model of Trust in DialoguesTheory and Applications of Formal Argumentation10.1007/978-3-319-75553-3_15(211-226)Online publication date: 6-Mar-2018
https://doi.org/10.1007/978-3-319-75553-3_15
Rishwaraj GPonnambalam SLoo C(2017)Heuristics-Based Trust Estimation in Multiagent Systems Using Temporal Difference LearningIEEE Transactions on Cybernetics10.1109/TCYB.2016.263402747:8(1925-1935)Online publication date: Aug-2017
https://doi.org/10.1109/TCYB.2016.2634027
Zhu W(2017)Reputation Computation Model for Offline Service Merchants Based on the Running Information and Ratings2017 4th International Conference on Information Science and Control Engineering (ICISCE)10.1109/ICISCE.2017.122(557-561)Online publication date: Jul-2017
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