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Posted by / 07-Sep-2020 20:27

Sddating com

Agent-based models simulating social reality generate outputs which result from a complex interplay of processes related to agents’ rules of interaction and model’s parameters.

As such agent-based models become more descriptive and driven by evidence, they become a useful tool in simulating and understanding social reality.

Theoretical exploration of a model’s behavior with respect to its parameters in particular those that are not constrained by validation is important but have been, until recently, limited by the lack of available computation resources and analysis tools to explore the vast parameter space.

An agent-based model of moderate complexity will, when run across different parameters (i.e., the total number of configurations times the number of simulation runs) generates output data that could easily be on a scale of gigabytes and more.

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In this paper we present a selection of practical exploratory and data mining techniques that might be useful to understand outputs generated from agent-based models.

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However, the number of parameters and agents’ rules of interaction grows rapidly.

Such models often have unvalidated parameters that must be introduced by the modeler in order for the model to be fully functional.

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We propose a simple schema and demonstrate its application on an evidence-driven agent-based model of inter-ethnic partnerships (dating and marriages), called ‘DITCH’. In the analysis reported in this paper, we focus on the dynamics and interplay of the key model parameters and their effect on model output(s).