Computational Model Library

Change and Senescence (version 1.0.0)

Agers and non-agers agent compete over a spatial landscape. When two agents occupy the same grid, who will survive is decided by a random draw where chances of survival are proportional to fitness. Agents have offspring each time step who are born at a distance b from the parent agent and the offpring inherits their genetic fitness plus a random term. Genetic fitness decreases with time, representing environmental change but effective non-inheritable fitness can increase as animals learn and get bigger.

Release Notes

First release, model created under NetLogo 6.0 to explore the evolution of senescence. It can be run under any operating system.

Version Submitter First published Last modified Status
1.0.0 André Martins Tue Nov 10 20:28:59 2020 Tue Nov 10 20:28:59 2020 Published


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