Scenario Automation Machine Based Multi-agent System Evolution
Maoguang Wang, Jiangping Zhao, Leilei Ge · 2016
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.