Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling

Scenario Automation Machine Based Multi-agent System Evolution

Authors
Maoguang Wang, Jiangping Zhao, Leilei Ge
Corresponding Author
Maoguang Wang
Available Online May 2016.
DOI
10.2991/amsm-16.2016.48How to use a DOI?
Keywords
scenario automation machine; multi-agent system; evolutuon
Abstract

The complex adaptive multi-agent system evolution requires the system is capable of evolving dynamically according to the application requirements and run-time environment changes. The scenario concept in the requirements phase of software engineering domain is introduced to the dynamic evolution. Different from the static requirements description, in this paper the scenario is used to illustrate the system dynamic evolution context. It is used to define the roles, the agents, the environment and the self-adaptive policies. Firstly, the scenario formal representation and scenario automation machine are defined. The MAS evolution is represented as a series of scenarios transformation based on the scenario automation machine. It provides a new method for complex software evolution and supports the system reuse in larger granularity.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-198-8
ISSN
2352-538X
DOI
10.2991/amsm-16.2016.48How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Maoguang Wang
AU  - Jiangping Zhao
AU  - Leilei Ge
PY  - 2016/05
DA  - 2016/05
TI  - Scenario Automation Machine Based Multi-agent System Evolution
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 210
EP  - 213
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.48
DO  - 10.2991/amsm-16.2016.48
ID  - Wang2016/05
ER  -