An Improved Spatial-Temporal Data Model Defined on the Cellular Space

摘要：

Typical Cellular Automata (CA) driven by deterministic rules can’t fit well the environment changes. Thus introduce rules adjustment, which requires recording the change of CA pattern by establishing a new spatial-temporal data model. Based on the property of forestry fire spreading and ESTDM model, an improved spatial-temporal data model CAESTDM which is defined on the cellular space is proposed. The new model is driven by events and is spatial and temporal scalable, which better fits for the operation of the cellular automata with less data redundancy.

关键词： cellular automata spatial-temporal data model forestry fire spreading

作者: Wang Changying Cheng Li

作者单位: College of Computer and Information, Fujian Agriculture and Forestry University, Fuzhou, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）