Promising and worth-to-try future directions for advancing state-of-the-art surrogates methods of agent-based models in social and health computational sciences

arXiv:2403.04417v1 Announce Type: new
Abstract: The execution and runtime performance of model-based analysis tools for realistic large-scale ABMs (Agent-Based Models) can be excessively long. This due to the computational demand exponentially proportional to the model size (e.g. Population size) and the number of model parameters. Even the runtime of a single simulation of a realistic ABM may demand huge computational resources when attempting to employ realistic population size. The main aim of this ad-hoc brief report is to highlight some …

abstract agent analysis analysis tools art arxiv computational cs.ai cs.cl cs.sy demand eess.sy future health math.ds performance population scale social state tools type