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Evidence-based trust: A mathematical model geared for multiagent systems

Evidence-based trust: A mathematical model geared for multiagent systems P1: VLM TAAS0504-14 ACM-TRANSACTION November 10, 2010 18:47 Evidence-Based Trust: A Mathematical Model Geared for Multiagent Systems YONGHONG WANG Carnegie Mellon University and MUNINDAR P. SINGH North Carolina State University An evidence-based account of trust is essential for an appropriate treatment of application-level interactions among autonomous and adaptive parties. Key examples include social networks and service-oriented computing. Existing approaches either ignore evidence or only partially address the twin challenges of mapping evidence to trustworthiness and combining trust reports from imperfectly trusted sources. This article develops a mathematically well-formulated approach that naturally supports discounting and combining evidence-based trust reports. This article understands an agent Alice ™s trust in an agent Bob in terms of Alice ™s certainty in her belief that Bob is trustworthy. Unlike previous approaches, this article formulates certainty in terms of evidence based on a statistical measure de ned over a probability distribution of the probability of positive outcomes. This de nition supports important mathematical properties ensuring correct results despite con ‚icting evidence: (1) for a xed amount of evidence, certainty increases as con ‚ict in the evidence decreases and (2) for a xed level of con ‚ict, certainty increases as the amount of evidence increases. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

Evidence-based trust: A mathematical model geared for multiagent systems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2010 by ACM Inc.
ISSN
1556-4665
DOI
10.1145/1867713.1867715
Publisher site
See Article on Publisher Site

Abstract

P1: VLM TAAS0504-14 ACM-TRANSACTION November 10, 2010 18:47 Evidence-Based Trust: A Mathematical Model Geared for Multiagent Systems YONGHONG WANG Carnegie Mellon University and MUNINDAR P. SINGH North Carolina State University An evidence-based account of trust is essential for an appropriate treatment of application-level interactions among autonomous and adaptive parties. Key examples include social networks and service-oriented computing. Existing approaches either ignore evidence or only partially address the twin challenges of mapping evidence to trustworthiness and combining trust reports from imperfectly trusted sources. This article develops a mathematically well-formulated approach that naturally supports discounting and combining evidence-based trust reports. This article understands an agent Alice ™s trust in an agent Bob in terms of Alice ™s certainty in her belief that Bob is trustworthy. Unlike previous approaches, this article formulates certainty in terms of evidence based on a statistical measure de ned over a probability distribution of the probability of positive outcomes. This de nition supports important mathematical properties ensuring correct results despite con ‚icting evidence: (1) for a xed amount of evidence, certainty increases as con ‚ict in the evidence decreases and (2) for a xed level of con ‚ict, certainty increases as the amount of evidence increases.

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS)Association for Computing Machinery

Published: Nov 1, 2010

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