Ligtenberg Arend, Wachowicz Monica, Bregt Arnold K, Beulens Adrie, Kettenis Dirk L
Wageningen UR, Centre for Geo-Information, P.O. Box 47, 6700 AA Wageningen, The Netherlands.
J Environ Manage. 2004 Aug;72(1-2):43-55. doi: 10.1016/j.jenvman.2004.02.007.
Multi-agent Systems (MAS) offer a conceptual approach to include multi-actor decision making into models of land use change. The main goal is to explore the use of MAS to simulate spatial scenarios based on modelling multi-actor decision-making within a spatial planning process. We demonstrate MAS that consists of agents representing organizations and interest groups involved in an urban allocation problem during a land use planning process. The multi-actor based decision-making is modelled by generating beliefs and preferences of actors about the location of and relation between spatial objects. This allows each agent to confront these beliefs and preferences with it's own desires and with that of other agents. The MAS loosely resembles belief, desire and intentions architecture. Based on a case study for a hypothetical land use planning situation in a study area in the Netherlands we discuss the potential and limitations of the MAS to build models that enable spatial planners to include the 'actor factor' in their analysis and design of spatial scenarios. In addition, our experiments revealed the need for further research on the representation of spatial objects and reasoning, learning and communication about allocation problems using MAS.
多智能体系统（MAS）提供了一种将多主体决策纳入土地利用变化模型的概念性方法。其主要目标是探索利用多智能体系统，基于对空间规划过程中多主体决策的建模来模拟空间场景。我们展示了一个多智能体系统，它由代表参与土地利用规划过程中城市分配问题的组织和利益集团的智能体组成。基于多主体的决策通过生成行动者对空间对象的位置及其之间关系的信念和偏好来建模。这使得每个智能体能够将这些信念和偏好与自身以及其他智能体的愿望进行对比。该多智能体系统大致类似于信念、愿望和意图架构。基于荷兰某研究区域假设土地利用规划情况的案例研究，我们讨论了多智能体系统在构建模型方面的潜力和局限性，这些模型能够使空间规划者在其对空间场景的分析和设计中纳入“行动者因素”。此外，我们的实验表明，需要进一步研究空间对象的表示以及使用多智能体系统对分配问题进行推理、学习和通信。
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