.png){kind=icon}
返回
Multi-actor-based land use modelling: spatial planning using agents
.png){kind=icon}
PRE
AI
DOI：10.1016/S0169-2046(01)00162-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper describes a spatial planning model combining a multi-agent simulation (MAS) approach with cellular automata (CA). The model includes individual actor behaviour according to a bottom-up modelling concept. Spatial planning intentions and related decision making of planning actors is defined by agents. CA is used to infer the knowledge needed by the agents to make decisions about the future of a spatial organisation in a certain area. The innovative item of this approach offers a framework for modelling complex land use planning process by extending CA approach with MAS. The modelling approach is demonstrated by the implementation of a pilot model using JAVA and the SWARM agent modelling toolkit. The pilot model itself is applied to a study area near the city of Nijmegen, The Netherlands. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
multi-agent systems
cellular automata
multi-actor decision making
spatial simulation
spatial planning
SWARM
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.2
论文数:
4.4K
被引数:
3.3W
机构
暂无机构信息
引用论文
Structure of the amino-terminal domain of Cbl complexed to its binding site on ZAP-70 kinase.png)
Nature
NatureIF0
PREAI
分享收藏
分享收藏
查看更多内容