A context-aware reputation-based model of trust for open multi-agent environments

Authors:
Ehsan Mokhtari;Zeinab Noorian;Behrouz Tork Ladani;Mohammad Ali Nematbakhsh
Affiliations:
University of New Brunswick, Canada;University of New Brunswick, Canada;University of Isfahan, Iran;University of Isfahan, Iran
Venue:
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Year:
2011

Citing 13
Cited 0

A distributed trust model

NSPW '97 Proceedings of the 1997 workshop on New security paradigms
Understanding and Using Context

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

Autonomous Agents and Multi-Agent Systems
An integrated trust and reputation model for open multi-agent systems

Autonomous Agents and Multi-Agent Systems
A survey of trust and reputation systems for online service provision

Decision Support Systems
Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach

Electronic Commerce Research and Applications
An interoperable context sensitive model of trust

Journal of Intelligent Information Systems
WordNet::Similarity: measuring the relatedness of concepts

HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Modeling agents and their environment

AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
An operational definition of context

CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
The state of the art in trust and reputation systems: a framework for comparison

Journal of Theoretical and Applied Electronic Commerce Research
Decentralized trust management

SP'96 Proceedings of the 1996 IEEE conference on Security and privacy
Towards an ontology of trust

TrustBus'05 Proceedings of the Second international conference on Trust, Privacy, and Security in Digital Business

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we have proposed a context-aware reputationbased trust model for multi-agent environments. Due to the lack of a general method for recognition and representation of context notion, we proposed a functional ontology of context for evaluating trust (FOCET) as the building block of our model. In addition, a computational reputation-based trust model based on this ontology is developed. Our model benefits from powerful reasoning facilities and the capability of adjusting the effect of context on trust assessment. Simulation results shows that an appropriate context weight results in the enhancement of the total profit in open systems.