Agent-based complex systems are dynamic networks of many interacting agents; examples
include ecosystems, financial markets, and cities. The search for general principles …

This article presents an overview of multi-agent system models of land-use/cover change
(MAS/LUCC models). This special class of LUCC models combines a cellular landscape …

Land use and land cover (LULC) form a baseline thematic map for monitoring, resource
management, and planning activities and facilitate the development of strategies to balance …

Land use change models are tools to support the analysis of the causes and consequences
of land use dynamics. Scenario analysis with land use models can support land use …

Agent-based computational economics (ACE) is the computational study of economies
modeled as evolving systems of autonomous interacting agents. Thus, ACE is a …

Conventional approaches to natural resource management are increasingly challenged by
environmental problems that are embedded in highly complex systems with profound …

This paper proposes a review of the development and use of multi-agent simulations (MAS)
for ecosystem management. The use of this methodology and the associated tools …

In spite of the many advances in land use and land cover change modelling over the past
decade many challenges remain. One of these challenges relates to the explicit treatment of …

Social-ecological systems are complex adaptive systems where social and biophysical
agents are interacting at multiple temporal and spatial scales. The main challenge for the …

The quality of ecosystems is affected by the actions of different stakeholders who use them
in a variety of ways. In order to understand this complex relationship between humans and …