Architectural considerations for agent-based national scale policy models : LDRD final report.

Backus, George A. ; Strip, David R.

Sandia National Laboratories

关键词: Decision Making;    Socio-Economic Factors;    Decision Making-Computer Simulation.;    Mathematical Models;    29 Energy Planning, Policy And Economy;   

DOI  :  10.2172/920446
RP-ID  :  SAND2007-5847
RP-ID  :  AC04-94AL85000
RP-ID  :  920446

美国|英语

来源: UNT Digital Library

【 摘 要 】

The need to anticipate the consequences of policy decisions becomes ever more important as the magnitude of the potential consequences grows. The multiplicity of connections between the components of society and the economy makes intuitive assessments extremely unreliable. Agent-based modeling has the potential to be a powerful tool in modeling policy impacts. The direct mapping between agents and elements of society and the economy simplify the mapping of real world functions into the world of computation assessment. Our modeling initiative is motivated by the desire to facilitate informed public debate on alternative policies for how we, as a nation, provide healthcare to our population. We explore the implications of this motivation on the design and implementation of a model. We discuss the choice of an agent-based modeling approach and contrast it to micro-simulation and systems dynamics approaches.