@inproceedings{a74be2f9716c4a43a9b99f6230cdd435,
title = "Towards a generalized reconfigurable agent-based architecture: Stock market simulation acceleration",
abstract = "Agent-based simulations have been used in domains ranging from biology to economics. In order to more accurately simulate systems, agent based simulations are becoming larger and more complex. Simulations could benefit from the speed and scale provided by a generalized agent-based architecture. In order to understand which features are relevant for such an architecture, we create a scalable implementation of an agent-based stock market model and compare it to an existing market simulation. The scalable stock market simulation uses several distributed markets rather than a single centralized market. A hardware implementation with support for reconfigurable agent logic and various market topologies is described. Synthesis results for simulations with up to 100 agents are presented. Lessons learned form this domain specific implementation will be applied in future work to a generalized agent-based architecture.",
keywords = "Agent Based Simulation, FPGA Simulation, Stock Market Simulation",
author = "Alan Ehret and Mihailo Isakov and Kinsy, {Michel A.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2018 ; Conference date: 03-12-2018 Through 05-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/RECONFIG.2018.8641714",
language = "English (US)",
series = "2018 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "David Andrews and Rene Cumplido and Claudia Feregrino and Dirk Stroobandt",
booktitle = "2018 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2018",
}