Multi-agent simulations and ecosystem management: a review
Multi-agent simulations and ecosystem management: a review
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DOI：
10.1016/j.ecolmodel.2004.01.011
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发表时间：
2004-09-01
影响因子：
3.1
通讯作者：
Le Page, C
中科院分区：
文献类型：
--
作者：
Bousquet, F;Le Page, C
本文对用于生态系统管理的多主体模拟（MAS）的开发和使用进行了回顾。这种方法论和相关工具的使用伴随着生态复杂性研究的各种范式的转变。行为和交互现在是理解和建模生态系统组织的关键问题，并且模型以建构主义的方式使用。 MAS 从概念上进行了介绍，并与基于个体的建模方法进行了比较。介绍了各种代理体系结构，强调了环境的作用，并介绍了一些计算机工具。接下来讨论使用 MAS 进行生态系统管理。 MAS 的优势已在社会科学和土地利用变化等空间问题上得到讨论。我们在这里认为 MAS 对于整合社会和空间方面的问题很有用。然后我们讨论 MAS 如何用于多种目的，从理论化到集体决策支持。我们就个人决策过程、机构、规模、模型的可信度和 MAS 的使用提出了一些研究观点。总之，我们认为生态系统管理领域的研究人员可以使用多智能体系统超越个体的角色，更深入、更有效地研究不同的组织形式（空间、网络、层次结构）以及不同组织层次之间的相互作用。为了实现这一目标，社会科学家、生态科学家和计算机科学家之间的合作之树上可以结出的果实比迄今为止收获的要多得多。 (C) 2004 Elsevier B.V. 保留所有权利。
This paper proposes a review of the development and use of multi-agent simulations (MAS) for ecosystem management. The use of this methodology and the associated tools accompanies the shifts in various paradigms on the study of ecological complexity. Behavior and interactions are now key issues for understanding and modeling ecosystem organization, and models are used in a constructivist way. MAS are introduced conceptually and are compared with individual-based modeling approaches. Various architectures of agents are presented, the role of the environment is emphasized and some computer tools are presented. A discussion follows on the use of MAS for ecosystem management. The strength of MAS has been discussed for social sciences and for spatial issues such as land-use change. We argue here that MAS are useful for problems integrating social and spatial aspects. Then we discuss how MAS can be used for several purposes, from theorization to collective decision-making support. We propose some research perspectives on individual decision making processes, institutions, scales, the credibility of models and the use of MAS. In conclusion we argue that researchers in the field of ecosystem management can use multi-agent systems to go beyond the role of the individual and to study more deeply and more effectively the different forms of organization (spatial, networks, hierarchies) and interactions among different organizational levels. For that objective there is considerably more fruit to be had on the tree of collaboration between social, ecological, and computer scientists than has so far been harvested. (C) 2004 Elsevier B.V. All rights reserved.