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Title

Analysis and design of multi agent knowledge development process

Author(s)

Cheah, Wai Shiang;  Sterling, Leon

Abstract

Within multi agent systems (MAS), knowledge plays an important role in agent communication, reasoning and supporting interoperability. It is often considered as an ontology which contains explicit domain knowledge to be used by agents. Although there are many ontology development or engineering methodologies, current efforts to incorporate knowledge into MAS are too focused on computational aspects or ad hoc. Working at the computational model is too low level, and many processes are left Implicit to the developer. This paper focuses on engineering the agent knowledge development process. A set of activities is proposed to externalize processes involved in managing agent domain knowledge, preferring software engineering approaches to ad hoc processes. The activities are classified into analysis and design steps together forming a development model suite (e.g. user model, motivation model, task model and design model). With guidance, we have successfully developed agents' knowledge based on a real life application in finding a potential advisor for a graduate student. Finally, it enables the agent developer to use, reuse and maintain the agent knowledge.

Publication type

Conference paper

Source

Proceedings of the 19th Australian Software Engineering Conference (ASWEC), Perth, Australia, 26-28 March 2008, pp. 402-411

Publication year

2008

Keyword(s)

Ad hoc processes;  Agent communications;  Agent knowledge;  Computational aspects;  Design;  Development model;  Domain knowledge;  Engineering;  Graduate students;  Knowledge based systems;  Knowledge engineering;  Multi agent systems;  Ontology development;  Process engineering;  Software agents;  Software engineering;  Technology;  Task modeling;  User modelling

Publisher

IEEE

ISBN

9780769531007, 0769531008

Publisher URL

http://dx.doi.org/10.1109/ASWEC.2008.4483229

Copyright

Copyright © 2008 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed