2019年最新-InteractionTopologiesinCompleSocialSystemsAgent：相互作用的拓?fù)浣Y(jié)構(gòu)的復(fù)雜的社會(huì)系

1、Interaction Topologies inComplex Social Systems: Agent-Based ModelingLars-Erik CedermanDepartment of Government, HarvardEITM Workshop, July 18, 2019Schedule 10:00am-10:30am 10:30am-12:00pm l:30pm-3:30pm 4:00pm-5:00pmIntroductionTutorialApplicationsInstallation adviceWhat is agent-based modeling? ABM

2、 is a computational methodology that allows the analyst to create, analyze, and experiment with, artificial worlds populated by agents that interact in non-trivial ways different from other types of computational techniques: econometrics, numerical solutions, macro simulation, Al modelingFour types

3、of modelsAnalytical focus:Systemic variablesMicromechanismsModeling language:Deductive ComputationalStructural macro modelsMacrosimulationRational choiceAgent-based modelingDisaggregated modelingArtificial worldAn inter-disciplinary paradigm Computer revolution:-computer science and mathematics-biol

4、ogy-social sciences The Santa Fe Institute and other centersSchellings segregation modelMpriintos Macintosh im ag«Hc image foi is not supis not suppRelative tolerance# neighbors12345678# same type11222333Complex Adaptive SystemsA CAS is a network exhibiting aggregate properties that emerge from

5、 primarily local interaction among many, typically heterogeneous agents mutually constituting their own environment. Emergent properties Large numbers of diverse agents Local interaction Adaptation through selection Endogenous, non-parametric environmentWhy use agent-based modeling? ABM helps fill the gap between formal but restrictive models and wide-ranging but imprecise qualitative framewor