Formal Model Analysis (FMA) covers a group of methods and techniques to study structurebehaviour relations in best-estimate models. That is, FMA aims to identify the structural causes for the particular dynamics of a single best-estimate model. Under deep uncertainty, the notion of a best-estimate model is however troublesome. Then Exploratory Modelling and Analysis (EMA) can be used to handle deep uncertainty. Through EMA, an ensemble of models is created and analysed. This paper argues that FMA can strengthen EMA by assisting in generating plausible dynamics, exploring and analysing future worlds, identifying plausible policy levers and exploring and comparing various policy options under deep uncertainty. The generation of plausible dyna...
A model is a simplified representation of the real world. Model uncertainty is a common issue in pre...
The better the model, the more features of the problem it explains. However, showing that the model ...
The experience of monetary policy making in an uncertain environment has encouraged increased attent...
Formal Model Analysis (FMA) covers a group of methods and techniques to study structurebehaviour rel...
Faced with policy problems with high stakes, decisionmakers have increasingly recognized the importa...
Simulation models are increasingly used for exploring the consequences of deep uncertainty in comple...
A study was performed by the author on formal analysis of uncertain non-linear systems in the contex...
Modeling is a crucial approach for understanding the past and exploring the future of coupled human-...
Policymaking often involves different parties such as policymakers, stakeholders, and analysts each ...
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools....
This paper illustrates the use of Exploratory System Dynamics Modeling and Analysis – a multi-method...
Deep, model based reinforcement learning has shown state of the art, human-exceeding performance in ...
There is a growing interest in model-based decision support under deep uncertainty, reflected in a v...
To reduce uncertainty in decisions, engineers experiment with models, such as, exploring what-if sce...
Master's thesis in Risk ManagementMany of the recently published articles that try to resolve challe...
A model is a simplified representation of the real world. Model uncertainty is a common issue in pre...
The better the model, the more features of the problem it explains. However, showing that the model ...
The experience of monetary policy making in an uncertain environment has encouraged increased attent...
Formal Model Analysis (FMA) covers a group of methods and techniques to study structurebehaviour rel...
Faced with policy problems with high stakes, decisionmakers have increasingly recognized the importa...
Simulation models are increasingly used for exploring the consequences of deep uncertainty in comple...
A study was performed by the author on formal analysis of uncertain non-linear systems in the contex...
Modeling is a crucial approach for understanding the past and exploring the future of coupled human-...
Policymaking often involves different parties such as policymakers, stakeholders, and analysts each ...
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools....
This paper illustrates the use of Exploratory System Dynamics Modeling and Analysis – a multi-method...
Deep, model based reinforcement learning has shown state of the art, human-exceeding performance in ...
There is a growing interest in model-based decision support under deep uncertainty, reflected in a v...
To reduce uncertainty in decisions, engineers experiment with models, such as, exploring what-if sce...
Master's thesis in Risk ManagementMany of the recently published articles that try to resolve challe...
A model is a simplified representation of the real world. Model uncertainty is a common issue in pre...
The better the model, the more features of the problem it explains. However, showing that the model ...
The experience of monetary policy making in an uncertain environment has encouraged increased attent...