Using causal discovery to analyze emergence in agent-based models

Volume: 96, Pages: 101940 - 101940
Published: Nov 1, 2019
Abstract
Analyzing agent-based models is a complex task. Agent-based models typically contain complex non-linear interactions between agents and generate emergent properties that cannot easily be explained. They are most commonly analyzed using sensitivity analysis techniques. While these techniques help understanding agent-based models better, they are not a one-size-fits-all solution. null This paper explores the novel use of causal discovery...
Paper Details
Title
Using causal discovery to analyze emergence in agent-based models
Published Date
Nov 1, 2019
Volume
96
Pages
101940 - 101940
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