Some challenges of calibrating differentiable agent-based models

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu and Michael Wooldridge

Papers from arXiv.org

Abstract: Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete nature, and the difficulty of performing parameter inference and optimisation tasks. This in turn has sparked interest in the construction of differentiable ABMs as a strategy for combatting these difficulties, yet a number of challenges remain. In this paper, we discuss and present experiments that highlight some of these challenges, along with potential solutions.

Date: 2023-07
New Economics Papers: this item is included in nep-cmp and nep-hme
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