Private Agent-Based Modeling

arXiv:2404.12983v1 Announce Type: cross
Abstract: The practical utility of agent-based models in decision-making relies on their capacity to accurately replicate populations while seamlessly integrating real-world data streams. Yet, the incorporation of such data poses significant challenges due to privacy concerns. To address this issue, we introduce a paradigm for private agent-based modeling wherein the simulation, calibration, and analysis of agent-based models can be achieved without centralizing the agents attributes or interactions. The key insight is to leverage techniques from secure …

address agent agent-based arxiv challenges cs.cr cs.ma cs.si data decision issue making modeling paradigm privacy privacy concerns private real simulation utility world