NDLI: Agent mediated provision of insurance services: two case studies: fraud and repairs

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Agent mediated provision of insurance services: two case studies: fraud and repairs

Content Provider	ACM Digital Library
Author	van Aart, Chris Tamma, Valentina
Abstract	In this work we present two business templates able to decrease risk and decrease costs in the insurance market realizing a successful claim management process capable of going across company boundaries. Risks can be decreased by having fraud detection agents gather evidence for (possible) fraud chains, using ontologies that model knowledge about the various types of frauds, and the mappings between different back-offices of involved parties. Costs can be decreased by having agents dealing with the administrative process of claim handling, saving time and personnel costs. Another advantage is that these agents form an agent mediated marketplace where prices and quality for car repair are determined by market mechanisms, instead of long-term contracts. The fraud detection and car repair business templates are implemented in an InsuranceGrid combining grid, ontology and agent technology. Because of the need for autonomy and the complexity of decision making process underlying fraud detection, the InsuranceGrid was implemented as a multi-agent system. By using ontologies, the knowledge about the insurance domain and processes is explicitly represented, making the obtained model transparent, standardised and maintainable. Business decision makers from insurance companies recognize the business template with their opportunities to delegate claims handling tasks to business agents.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781605580753
DOI	10.1145/1409540.1409567
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-08-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	B2b Multi agents Insurance domain Ontology Claim handling Fraud detection Agent mediated insurance settlement and fraud detection E-business
Content Type	Text
Resource Type	Article

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