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  4. Implementing a business process management system using ADEPT: a real-world case study
 
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Implementing a business process management system using ADEPT: a real-world case study
OA Location
http://eprints.soton.ac.uk/253740/
Author(s)
Jennings, NR
Faratin, P
Norman, TJ
Brien, PO
Odgers, B
more
Type
Journal Article
Abstract
This article describes how the agent-based design of ADEPT (advanced decision environment for process tasks) and implementation philosophy was used to prototype a business process management system for a real-world application. The application illustrated is based on the British Telecom (BT) business process of providing a quote to a customer for installing a network to deliver a specified type of telecommunications service. Particular emphasis is placed upon the techniques developed for specifying services, allowing agents with heterogeneous information models to interoperate, allowing rich and exible interagent negotiation to occur, and on the issues related to interfacing agent-based systems and humans. This article builds upon the companion article (Applied Artificial Intelligence Vol. 14, no. 2, pgs. 145¨189) that provides details of the rationale and design of the ADEPT technology deployed in this application.
Date Issued
2000-12-31
Date Acceptance
2000-12-01
Citation
Applied Artificial Intelligence, 2000, 14 (5), pp.421-463
URI
http://hdl.handle.net/10044/1/36792
URL
http://eprints.soton.ac.uk/253740/
DOI
https://www.dx.doi.org/10.1080/088395100403379
ISSN
1087-6545
Publisher
Taylor and Francis
Start Page
421
End Page
463
Journal / Book Title
Applied Artificial Intelligence
Volume
14
Issue
5
Copyright Statement
© 2000 Taylor & Francis. This is an Author's Accepted Manuscript of an article published in [include the complete citation information for the final version of the article as published in the Applied Artificial Intelligence, available online at: http://dx.doi.org.10.1080/088395100403379.
Identifier
http://eprints.soton.ac.uk/253740/
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
ENGINEERING, ELECTRICAL & ELECTRONIC
AGENTS
Artificial Intelligence & Image Processing
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Publication Status
Published
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