This chapter describes, justifies, presents the pros and cons of and illustrates the use of simulation modeling as a handy, cost-effective and agile tool for policymakers. Simulation modeling is flexible enough to accommodate different levels of detail, precision and time frameworks. It also serves the purpose of a concrete communication platform that facilitates scenario analysis, what-if alternatives and forward looking. We specifically define agent-based modeling within the larger simulation domain, provide a brief overview of other computation modeling methodologies and discuss the concepts of multiple models, verification, validation and calibration. The conceptual framework section closes with a discussion of advantages and dis...
There has so far been no shared understanding of validity in agent-based simulation. We here concept...
Simulation models are widely used in applied economics to improve understanding of how a system coul...
When designing systems that are complex, dynamic and stochastic in nature, simulation is generally r...
This chapter describes, justifies, presents the pros and cons of and illustrates the use of simulati...
This paper reviews the major issues posed by scenario-based simulation modeling in the policy proces...
When advising policy we face the fundamental problem that economic processes are connected with unce...
THESIS 8820Economic simulation approaches still receive little recognition in the mainstream economi...
Policy modelling is the application of agent based social simulation to the analysis of social polic...
This paper reviews the major issues posed by scenario-based simulation modeling in the policy proces...
While previously public policy making was predominantly technocratic, based mainly on ‘first generat...
Computational models are increasingly being used to assist in developing, implementing and evaluatin...
Simulation models have become increasingly popular in economics in the last two decades, because the...
When advising policy we face the fundamental problem that economic processes are connected with unce...
The success of any decision made in the domain of political sciences is conditioned by a set of inte...
Computational models are increasingly being used to assist in developing, implementing and evaluatin...
There has so far been no shared understanding of validity in agent-based simulation. We here concept...
Simulation models are widely used in applied economics to improve understanding of how a system coul...
When designing systems that are complex, dynamic and stochastic in nature, simulation is generally r...
This chapter describes, justifies, presents the pros and cons of and illustrates the use of simulati...
This paper reviews the major issues posed by scenario-based simulation modeling in the policy proces...
When advising policy we face the fundamental problem that economic processes are connected with unce...
THESIS 8820Economic simulation approaches still receive little recognition in the mainstream economi...
Policy modelling is the application of agent based social simulation to the analysis of social polic...
This paper reviews the major issues posed by scenario-based simulation modeling in the policy proces...
While previously public policy making was predominantly technocratic, based mainly on ‘first generat...
Computational models are increasingly being used to assist in developing, implementing and evaluatin...
Simulation models have become increasingly popular in economics in the last two decades, because the...
When advising policy we face the fundamental problem that economic processes are connected with unce...
The success of any decision made in the domain of political sciences is conditioned by a set of inte...
Computational models are increasingly being used to assist in developing, implementing and evaluatin...
There has so far been no shared understanding of validity in agent-based simulation. We here concept...
Simulation models are widely used in applied economics to improve understanding of how a system coul...
When designing systems that are complex, dynamic and stochastic in nature, simulation is generally r...