Skip Nav Destination
Close Modal
Update search
NARROW
Format
TocHeadingTitle
Date
Availability
1-1 of 1
J. Xavier Prochaska
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
. isal2020, ALIFE 2020: The 2020 Conference on Artificial Life263-265, (July 13–18, 2020) 10.1162/isal_a_00348
Abstract
View Papertitled, Monte Carlo Physarum Machine: An Agent-based Model for Reconstructing Complex 3D Transport Networks
View
PDF
for content titled, Monte Carlo Physarum Machine: An Agent-based Model for Reconstructing Complex 3D Transport Networks
We introduce Monte Carlo Physarum Machine: a dynamic computational model designed for reconstructing complex transport networks. MCPM extends existing work on agent-based modeling of Physarum polycephalum with a probabilistic formulation, making it suitable for 3D reconstruction and visualization problems. Our motivation is estimating the distribution of the intergalactic medium—the cosmic web , which has so far eluded full spatial mapping. MCPM proves capable of this task, opening up a way towards answering a number of open astrophysical and cosmological questions.