# Predator-Prey-Agent-Based-Model
## Run code:
### size = size of model environmnet in km^2
### nr - initial number of hares agents
### nf - initial number of lynx agents
### nh - initial number of human agents
### nsteps - number of iterations required
### command - ecolab(size,nr,nf,nh,nsteps) | ecolab(60,400,40,10,208)
毕业设计&课设-基于MATLAB的自然系统建模.zip
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2024-01-08
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毕业设计&课设-基于MATLAB的自然系统建模.zip （61个子文件） 
matlab_code 
create_params.m 876B initialise_results.m 1KB extract_local_food.m 1KB @lynx lynx.m 2KB breed.m 1KB eat.m 3KB set.m 346B prev_rand.mat 500B get.m 348B die.m 1KB migrate.m 2KB random_selection.m 420B
COM3001-Group-12-Report.pdf 798KB update_messages.m 3KB case2 1.mat 900B 3.mat 901B 2.mat 875B 4.mat 881B 5.mat 872B averaged_results.m 3KB matlab.mat 128B create_control.m 315B agnt_solve.m 2KB @hare hare.m 2KB breed.m 1KB eat.m 2KB set.m 349B get.m 350B die.m 1KB migrate.m 4KB prev_rand.mat 500B case3 1.mat 5KB 3.mat 2KB 2.mat 4KB 4.mat 5KB 5.mat 5KB averaged_results.m 3KB create_agents.m 2KB @human hunt.m 3KB set.m 312B human.m 2KB get.m 325B migrate.m 2KB case4 1.mat 6KB 3.mat 6KB 2.mat 6KB 4.mat 6KB 5.mat 6KB averaged_results.m 3KB case1 1.mat 5KB 3.mat 2KB 2.mat 4KB 4.mat 3KB 5.mat 5KB averaged_results.m 3KB create_messages.m 1KB grass_regrowth.m 329B README.md 334B plot_results.m 6KB create_environment.m 665B ecolab.m 4KB资源评论
