Skip Nav Destination
Close Modal
Update search
NARROW
Format
TocHeadingTitle
Date
Availability
1-1 of 1
Angus G. Forbes
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.