Authors:
Joana Urbano
;
Ana Paula Rocha
and
Eugénio Oliveira
Affiliation:
Faculdade de Engenharia da Universidade do Porto, Portugal
Keyword(s):
Situation-aware Trust, Dynamics of Trust, Multi-agent Systems.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
e-Procurement and Web-Based Supply Chain Management
;
Intelligent Agents
;
Intelligent Social Agents and Distributed Artificial Intelligence Applications
;
Internet Technology
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
Trust management is nowadays considered a promising enabler technology to extend the automation of the supply chain to the search, evaluation and selection of suppliers located world-wide. Current agent-based Computational Trust and Reputation (CTR) systems concern the representation, dissemination and aggregation of trust evidences for trustworthiness assessment, and some recent proposals are moving towards situation-aware solutions that allow the estimation of trust when the information about a given supplier is scarce or even null. However, these enhanced, situation-aware proposals rely on ontology-like techniques that are not fine grained enough to detect light, but relevant, tendencies on supplier’s behaviour. In this paper, we propose a technique that allows the extraction of positive and negative tendencies of suppliers in the fulfilment of established contracts. This technique can be used with any of the existing “traditional” CTR systems, improving their ability in selective
ly selecting a partner based on the characteristics of the situation in evaluation. In this paper, we test our proposal using an aggregation engine that embeds important properties of the dynamics of trust building.
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