Qualitative Modeling of MAS Dynamics - Using Systemic Modeling to Examine the Intended and Unintended Consequences of Agent Coaction
Qualitative Modeling of MAS Dynamics - Using Systemic Modeling to Examine the Intended and Unintended Consequences of Agent Coaction
复制标题
MAS 动力学的定性建模 - 使用系统建模来检查代理协同作用的预期和非预期后果
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
W. Renz
中科院分区：
文献类型：
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作者：
J. Sudeikat;W. Renz
基于代理的软件应用程序的设计得到了建模方法的支持，这些建模方法关注于单个代理的设计以及它们在组织结构中的安排。然而，从自主的、主动的参与者的设计总和中推断出集体系统的行为是一项具有挑战性的任务，他们的合作可能会导致惊人的效果。因此，代理集体的开发人员需要工具来计划代理协作的效果。在这里，我们提出了一个系统建模级别，它补充了已建立的面向智能体的建模方法，并利用系统科学建模概念来支持对智能体合作可能导致的系统范围动态的定性检查。我们讨论了从已建立的设计符号中系统地推导出系统MAS抽象，并在一个案例研究中举例说明了MAS的系统建模，其中在设计时确定了代理活动及其后果的相互依赖性，并将其与运行时效果进行了比较。
The design of agent-based software applications is supported by modeling approaches that focus on the design of individual agents as well as their arrangement in organizational structures. However, it is a challenging task to deduce the collective system behavior from the sum of designs of the autonomous, pro-active actors and their collaboration can lead to surprising effects. Therefore, developers of agent collectives require tools to plan for the effects of agent coaction. Here, we propose a systemic modeling level that supplements established agent-oriented modeling approaches and utilizes System Science modeling concepts to support qualitative examinations of the system-wide dynamics that can result from agent coaction. We discuss the systematic derivation of systemic MAS abstractions from established design notations and exemplify systemic modeling of MAS in a case study where the interdependencies of agent activites and their consequences are identified at design-time and compared to run-time effects.