Key Words: long term viability; human-landscape interaction; multi-agent based model; decision making. The development of many agricultural regions is uncertain due to current and future changes in economic, social and ecological factors and the complexity of human-landscape interactions. The largest impact on landscapes in agricultural regions is through land use by farmers. To study the long-term viability and possible emerging behaviour of an entire landscape including farmers, a conceptional model for the development of a multi-agent human-biophysical simulation model is introduced. The model integrates a domain model with three external individual biophysical, social an
Land use and cover change (LUCC) is increasingly recognised as one of the most visible impacts of hu...
Abstract. This paper addresses the adequacy and perspectives of multi-agent system (MAS) models in t...
This paper presents an assessment of land use changes and their impacts on the ecosystem in the Mont...
Agent-based modeling offers the technical opportunity to spatially integrate biophysical and socio-e...
International audienceModern agriculture faces the dual challenges of feeding a growing human popula...
Abstract: This paper presents an approach to predicting the impact of future agricultural policies, ...
Land-cover changes from human land-uses are seen as primary sources of global environmental change. ...
We present extensions to the agent-based agricultural policy simulator (AgriPoliS) model that make i...
Agent-based modelling is an approach that has been receiving attention by the land use modelling com...
Often, land-use models do not take into account social aspects. But in particular farmers’ attitudes...
Landscape simulation can be a good mean to understand the observed evolutions and then identify the ...
Existing models of agricultural decisionmaking based on economic optimization often fall short of ca...
Land-use/cover change (LUCC) is a complex process that includes actors and factors at different soci...
Traditional empirical land use change models generally assume one average land use decision-maker. M...
Land exchange can be a major factor driving land-use change in regions with high pressure on land, b...
Land use and cover change (LUCC) is increasingly recognised as one of the most visible impacts of hu...
Abstract. This paper addresses the adequacy and perspectives of multi-agent system (MAS) models in t...
This paper presents an assessment of land use changes and their impacts on the ecosystem in the Mont...
Agent-based modeling offers the technical opportunity to spatially integrate biophysical and socio-e...
International audienceModern agriculture faces the dual challenges of feeding a growing human popula...
Abstract: This paper presents an approach to predicting the impact of future agricultural policies, ...
Land-cover changes from human land-uses are seen as primary sources of global environmental change. ...
We present extensions to the agent-based agricultural policy simulator (AgriPoliS) model that make i...
Agent-based modelling is an approach that has been receiving attention by the land use modelling com...
Often, land-use models do not take into account social aspects. But in particular farmers’ attitudes...
Landscape simulation can be a good mean to understand the observed evolutions and then identify the ...
Existing models of agricultural decisionmaking based on economic optimization often fall short of ca...
Land-use/cover change (LUCC) is a complex process that includes actors and factors at different soci...
Traditional empirical land use change models generally assume one average land use decision-maker. M...
Land exchange can be a major factor driving land-use change in regions with high pressure on land, b...
Land use and cover change (LUCC) is increasingly recognised as one of the most visible impacts of hu...
Abstract. This paper addresses the adequacy and perspectives of multi-agent system (MAS) models in t...
This paper presents an assessment of land use changes and their impacts on the ecosystem in the Mont...