Chapter 31 Computational Laboratories for Spatial Agent-Based Models

作者: Catherine Dibble

DOI: 10.1016/S1574-0021(05)02031-9

关键词: Location theorySmall-world networkInferenceData scienceComputer scienceScale-free networkManagement scienceComputational sociologyComputational economicsSituatedComplex system

摘要: Abstract An agent-based model is a virtual world comprising distributed heterogeneous agents who interact over time. In spatial the are situated in environment and typically assumed to be able move various ways across this environment. Some kinds of social or organizational systems may also modeled as environments, where from one group department another communications mobility among groups structured according implicit explicit channels transactions costs. This chapter focuses on potential usefulness computational laboratories for modeling. Speaking broadly, laboratory any framework permitting exploration behaviors complex through systematic replicable simulation experiments. By that definition, most research discussed handbook would considered work with laboratories. A narrower definition (or comp lab short) refers specifically specialized software tools support full range modeling complementary tasks. These tasks include development, evaluation controlled experimentation, both descriptive normative analysis outcomes. The objective explore how activities facilitate models embodying processes critical welfare. Examples temporal coordination human activities, diffusion new ideas infectious diseases, emergence ecological dynamics innovative deadly diseases.

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