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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

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Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model.

Rajkumar Rajavel¹, Lalitha Krishnasamy², Partheeban Nagappan³

¹Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, India.

Scientific Reports

|March 20, 2025

Summary

A new Bayesian-based adaptive trust model enhances cloud service negotiations. This model dynamically ranks providers, improving success rates and minimizing conflicts for better outcomes.

Keywords:

Adaptive probabilistic trust management model Bayesian learning Broker-based negotiation Cloud computing E-commerce negotiation framework Multi-agent system

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Area of Science:

Cloud Computing
Artificial Intelligence
Negotiation Theory

Background:

Trust management is crucial in broker-based cloud service negotiations.
Existing methods use reputation, identity, and policy for trust evaluation.
Current frameworks aim to maximize negotiator utility and success rates.

Purpose of the Study:

To introduce a Bayesian-based adaptive probabilistic trust management model for cloud service negotiation.
To dynamically rank service provider agents based on trustworthiness.
To enhance the utility value and success rate in broker-based negotiations.

Main Methods:

Developed a Bayesian-based adaptive probabilistic trust management model.
Incorporated dynamic ranking of service provider agents using success, cooperation, and honesty rates.
Formulated the negotiation process as a Bayesian learning process.

Main Results:

The adaptive model effectively measures trustworthiness among participants.
Broker agents prioritize trusted providers, reducing bargaining conflicts.
The proposed framework demonstrated improved performance compared to existing models.

Conclusions:

The Bayesian-based adaptive trust model significantly enhances cloud service negotiation frameworks.
Dynamic trustworthiness assessment and prioritization lead to better bargaining outcomes.
This approach offers a robust solution for trusted cloud service discovery and negotiation.