Adaptation and Maintenance of Multi-agent Systems using Reaction Rules

DOI

10.2991/iccasm.2012.138How to use a DOI?

Keywords

business model, multi-agent system, reaction rule, software adaptability

Abstract

Software systems must be adaptable and maintainable in a business environment to remain useful. Business rules are central to business requirements and their adaptability and maintainability is the key to keep systems up to the changing environment over time. In this paper, we propose reaction rules for modelling interactive agent behaviour in Multi-Agent Systems. A rule-based knowledge model is sourced from the business requirements specification and becomes a knowledge base of driving agent behaviour dynamically, at runtime. Because the knowledge model is externalised from the running system itself, system behaviour can be adapted and maintained in an easier manner. The work is illustrated using the case of a rail track management system.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao Liang
PY  - 2012/08
DA  - 2012/08
TI  - Adaptation and Maintenance of Multi-agent Systems using Reaction Rules
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 543
EP  - 547
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.138
DO  - 10.2991/iccasm.2012.138
ID  - Liang2012/08
ER  -