Can I read Private Agent-Based Modeling on EtoBox?

Private Agent-Based Modeling by Chopra, Ayush; Quera-Bofarull, Arnau; Giray-Kuru, Nurullah; Wooldridge, Michael; Raskar, Ramesh is a scholarly article available to read on EtoBox.

What is Private Agent-Based Modeling about?

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 multi-party computation to design protocols for decentralized computation in agent-based models. This ensures the confidentiality of the simulated agents without compromising on simulation accuracy. We showcase our protocols on a case study with an epidemiological simulation comprising over 150,000 agents. We believe this is a critical step towards deploying agent-based models to real-world applications.

Author

Chopra, Ayush; Quera-Bofarull, Arnau; Giray-Kuru, Nurullah; Wooldridge, Michael; Raskar, Ramesh

Published

2024

Language

EN