Book chapter
Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration
Handbook of Applied System Science, pp.245-282
Routledge
2016
DOI: 10.4324/9781315748771-18
Abstract
We use data from the Wolong Nature Reserve for giant pandas in China to simulate the impact of the growing rural population on the forests and panda habitat. By tracking the life history of individual persons and the dynamics of households, this model equips household agents with ‘’knowledge’’ about themselves, other agents, and the environment and allows individual agents to interact with each other and the environment through their activities in accordance with a set of artificial-intelligence rules. The households and environment co-evolve over time and space, resulting in macroscopic human and habitat dynamics.
Details
- Title: Subtitle
- Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration
- Creators
- Li An - Michigan State UniversityMarc LindermanJiaguo Qi - Michigan State UniversityAshton Shortridge - Michigan State UniversityJianguo Liu - Michigan State University
- Resource Type
- Book chapter
- Publication Details
- Handbook of Applied System Science, pp.245-282
- Publisher
- Routledge; New York
- DOI
- 10.4324/9781315748771-18
- Language
- English
- Date published
- 2016
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9984259386902771
Metrics
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