Potential and limitations of digital twins to achieve the sustainable development goals
Could computer simulation models drive our ambitions to sustainability in urban and non-
urban environments? Digital twins, defined here as real-time, virtual replicas of physical and …
urban environments? Digital twins, defined here as real-time, virtual replicas of physical and …
Selecting among five common modelling approaches for integrated environmental assessment and management
The design and implementation of effective environmental policies need to be informed by a
holistic understanding of the system processes (biophysical, social and economic), their …
holistic understanding of the system processes (biophysical, social and economic), their …
Land system science and sustainable development of the earth system: A global land project perspective
Land systems are the result of human interactions with the natural environment.
Understanding the drivers, state, trends and impacts of different land systems on social and …
Understanding the drivers, state, trends and impacts of different land systems on social and …
Describing human decisions in agent-based models–ODD+ D, an extension of the ODD protocol
Representing human decisions is of fundamental importance in agent-based models.
However, the rationale for choosing a particular human decision model is often not …
However, the rationale for choosing a particular human decision model is often not …
The complexities of agent-based modeling output analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model
practitioners to improve the transparency, replicability, and trust in results derived from …
practitioners to improve the transparency, replicability, and trust in results derived from …
Spatial agent-based models for socio-ecological systems: Challenges and prospects
Departing from the comprehensive reviews carried out in the field, we identify the key
challenges that agent-based methodology faces when modeling coupled socio-ecological …
challenges that agent-based methodology faces when modeling coupled socio-ecological …
Agent-based modeling of energy technology adoption: Empirical integration of social, behavioral, economic, and environmental factors
V Rai, SA Robinson - Environmental Modelling & Software, 2015 - Elsevier
Agent-based modeling (ABM) techniques for studying human-technical systems face two
important challenges. First, agent behavioral rules are often ad hoc, making it difficult to …
important challenges. First, agent behavioral rules are often ad hoc, making it difficult to …
[HTML][HTML] Agent-based modelling of social-ecological systems: achievements, challenges, and a way forward
J Schulze, B Müller, J Groeneveld… - Journal of Artificial …, 2017 - jasss.soc.surrey.ac.uk
Understanding social-ecological systems (SES) is crucial to supporting the sustainable
management of resources. Agent-based modelling is a valuable tool to achieve this …
management of resources. Agent-based modelling is a valuable tool to achieve this …
Simple or complicated agent-based models? A complicated issue
Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling
human-environmental systems, but challenges and critics remain. One pressing challenge …
human-environmental systems, but challenges and critics remain. One pressing challenge …
A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: From cognitive maps to …
This paper aims to contribute to developing better ways for incorporating essential human
elements in decision making processes for modelling of complex socio-ecological systems …
elements in decision making processes for modelling of complex socio-ecological systems …