Geographic Information Systems and Spatial Agent-Based Model Simulations for Sustainable Development
Abstract
In recent years the interdisciplinary field of Computational Social Science has developed theory and methodologies for building spatial Agent-Based Social Simulation (ABSS) models of human societies that are situated in ecosystems with land cover and climate. This article explains the needs and demand for Geographic Information Systems (GIS) in these types of agent-based models, with an emphasis on models applied to Eastern Africa and Inner Asia and relevance for understanding and analyzing development issues. The models are implemented with the MASON (Multi-Agent Simulator Of Networks and Neighborhoods) system, an open-source simulation environment in the Java language and suitable for developing ABSS models with GIS for representing spatial features.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 01, 2011
- Source ID
- 10.1145/2036264.2036274
Entities
People
- Atesmachew Hailegiorgis
- Claudio Cioffi-revilla
- J. Daniel Rogers
Organizations
- Division of Behavioral and Cognitive Sciences
- George Mason University
- National Museum of Natural History
- Office of Naval Research