This package contains the TransmissionLab model, written to allow simulation of cultural transmission and evolution phenomena. The goal of TransmissionLab is to accurately represent theoretical models of CT (e.g., random copying, prestige-biased transmission, frequency-biased transmission) within a variety of population structures (e.g., complete graphs/well-mixed, sparse random graphs and social networks of varying topologies, spatial lattices), and using a variety of update algorithms (e.g., Moran processes, Wright-Fisher processes, various other birth-death processes). TransmissionLab seeks to also make data collection and 'observation' of simulated populations simple, with modules which are completely separate from the simulated population itself thus preventing observational 'side-effects' on the model. Analysis flows from data collection, and can be done in a variety of ways.
Binary distributions of the simulation model are available under the Downloads tab, in the form of a jar file and an associated zip archive of library dependencies. Source code is available on the Source tab, via anonymous Subversion repository access.
We encourage you to read and familiarize yourself with the README, License, and GPL.txt files contained in the source distribution. These govern source and binary distributions of TransmissionLab, including your rights to distribute and modify TransmissionLab. In addition, these files indicate that no warranties, express or implied, are provided for TransmissionLab. The suitability and fitness of TransmissionLab for any specific purpose or project is not guaranteed by the authors; although we are naturally happy to discuss issues relating to the scientific accuracy and behavior of the system, since our goal here is to produce a system useful not just for our own research, but for others to use.
These details are provided for information only. No information here is legal advice and should not be used as such.