Starklag, which is a contraction of "den starkastes lag" which in Swedish means "the law of the strongest", is a partial evolution simulator with real time view on the field, logging, statistics and graphical representation of the population and of the expressions of the genes.
The simulator is written in C++17 and uses the Sista library for the real time field view.
The statistics are dumped in .txt files, they can be plotted using the Python script in the demo folder, which uses matplotlib.
The simulator has been tested on Linux and Windows, is reported to work on MacOS and should work on any platform that supports C++17 and g++, since Sista is cross-platform.
The only dependencies are the Sista library and matplotlib for the plotting script.
You can download the source code using git...
git clone https://github.com/Lioydiano/Starklag...or you can download the latest zip file from the releases page.
You only need to compile the starklag.cpp file using g++ with the -std=c++17 flag.
g++ -std=c++17 starklag.cpp -o starklagFirst, you should create a folder like demo/1, let's call it demo/{i}, and navigate to it.
../../starklagThis will make demo/{i} the folder where the simulation data will be stored.
pc:~/Starklag/demo/2$ tree
.
├── attack-stats.png
├── attack-stats.txt
├── debug.txt
├── defense-stats.png
├── defense-stats.txt
├── dna-stats.txt
├── fertility-stats.png
├── fertility-stats.txt
├── lifespan-stats.png
├── lifespan-stats.txt
├── nature-stats.png
├── nature-stats.txt
├── organisms-count.png
├── organisms-count.txt
├── speed-stats.png
├── speed-stats.txt
├── start.bash
├── strength-stats.png
├── strength-stats.txt
├── vision-stats.png
└── vision-stats.txtThis is the content of the folder after the simulation has ended and the plotting is done.
Anyway, you should better do the two steps separately, since starklag's simulations don't always end as expected.
../../starklag
cd ../..
python3 graphics.py <insert-{i} here>As of v0.4, you can only input the following...
- "pause
<ENTER>" to pause the simulation - "resume
<ENTER>" to resume the simulation - "quit
<ENTER>" to quit the simulation - "save
<ENTER>" to save the simulation toorganisms_set.sklg
The output is a real time view of the field, with the organisms represented by ANSI-styled uppercase letters ([A-Z]) and the food represented by a green @.
It is suggested to keep a zoom that allows you to see the whole field in height, but not in width, so that you can see the side logs.
The following is an example of a simulation after 9 frames.
####################################################
# @ #
# #
# @ @ #
# B @ @ #
# C @ #
# N V @ #
#M @ U @ #
# @ @ #
# @ @ L #
# I @ Q @#
# @ #
# @ #
# P @K #
# D @ #
# E W #
# F @ #
# #
# @ @ #
# @Y @#
# @ @ #
# Z H S G O #
# @ @ #
# #
# @ @ @ #
# @ @ #
# #
# @ @ R #
# A @ #
# X J @ T @ @#
# #
####################################################The logs on the right side of the field are like the following.
Organism A 0 (9): 10hp, 1591 left, DNA: {2 : 1 : 1 : 5 : 2 : 1 : 1 : 1} {27, 5}
Organism B 1 (9): 20hp, 91 left, DNA: {1 : 2 : 0 : 1 : 2 : 1 : 2 : 1} {3, 19}
Organism C 2 (9): 10hp, 391 left, DNA: {1 : 1 : 1 : 2 : 1 : 2 : 1 : 1} {4, 14}
Organism D 3 (9): 10hp, 391 left, DNA: {1 : 2 : 1 : 2 : 1 : 1 : 1 : 1} {13, 2}
Organism E 4 (9): 10hp, 391 left, DNA: {0 : 1 : 2 : 2 : 2 : 2 : 1 : 2} {14, 13}
Organism F 5 (9): 10hp, 391 left, DNA: {1 : 0 : 0 : 2 : 1 : 3 : 1 : 2} {15, 13}
Organism G 6 (9): 20hp, 91 left, DNA: {1 : 1 : 1 : 1 : 1 : 0 : 2 : 0} {20, 34}
Organism H 7 (9): 9hp, 891 left, DNA: {0 : 1 : 1 : 3 : 1 : 1 : 1 : 1} {20, 7}
Organism I 8 (9): 10hp, 891 left, DNA: {1 : 1 : 1 : 3 : 2 : 1 : 1 : 1} {9, 20}
Organism J 9 (9): 20hp, 91 left, DNA: {1 : 2 : 1 : 1 : 2 : 0 : 2 : 1} {28, 18}
Organism K 10 (9): 10hp, 1591 left, DNA: {2 : 2 : 1 : 4 : 2 : 2 : 1 : 0} {12, 32}
Organism L 11 (9): 10hp, 91 left, DNA: {0 : 1 : 1 : 1 : 2 : 1 : 1 : 1} {8, 24}
Organism M 12 (9): 10hp, 391 left, DNA: {1 : 1 : 0 : 2 : 2 : 1 : 1 : 0} {6, 0}
Organism N 13 (9): 20hp, 91 left, DNA: {0 : 1 : 2 : 1 : 1 : 1 : 2 : 0} {5, 15}
Organism O 14 (9): 10hp, 891 left, DNA: {2 : 2 : 1 : 3 : 2 : 1 : 1 : 1} {20, 46}
Organism P 15 (9): 20hp, 391 left, DNA: {1 : 0 : 1 : 2 : 2 : 1 : 2 : 1} {12, 20}
Organism Q 16 (9): 20hp, 391 left, DNA: {0 : 1 : 1 : 2 : 2 : 0 : 2 : 1} {9, 38}
Organism R 17 (9): 10hp, 91 left, DNA: {1 : 0 : 1 : 1 : 2 : 1 : 1 : 1} {26, 44}
Organism S 18 (9): 10hp, 391 left, DNA: {0 : 0 : 1 : 2 : 2 : 2 : 1 : 1} {20, 17}
Organism T 19 (9): 10hp, 391 left, DNA: {2 : 0 : 1 : 2 : 2 : 2 : 1 : 1} {28, 29}
Organism U 20 (9): 10hp, 891 left, DNA: {1 : 0 : 0 : 3 : 2 : 2 : 1 : 1} {6, 14}
Organism V 21 (9): 10hp, 391 left, DNA: {1 : 1 : 2 : 2 : 4 : 0 : 1 : 0} {5, 28}
Organism W 22 (9): 10hp, 391 left, DNA: {1 : 0 : 2 : 2 : 2 : 0 : 1 : 0} {14, 21}
Organism X 23 (9): 10hp, 391 left, DNA: {0 : 1 : 1 : 2 : 1 : 1 : 1 : 1} {28, 2}
Organism Y 24 (9): 20hp, 391 left, DNA: {1 : 0 : 1 : 2 : 1 : 0 : 2 : 0} {18, 43}
Organism Z 25 (9): 10hp, 391 left, DNA: {0 : 1 : 1 : 2 : 3 : 2 : 2 : 2} {20, 3}You should do the same as for running a new simulation, but...
../../starklag --load
cd ../..
python3 graphics.py <insert-{i} here>...in this case you add --load.
Be sure to have put in demo/{i} the organisms_set.sklg from which data will be loaded.
0 A 34 42 22 16 23 377 10 1 1 0 4 2 1 1 2
1 B 37 46 7 45 23 1577 20 1 2 1 3 4 0 1 0
2 C 32 45 11 27 23 377 30 2 3 1 0 2 1 1 2
3 D 37 42 9 4 23 77 10 1 1 2 2 1 1 3 1
4 E 35 46 16 4 23 77 10 1 1 1 1 1 2 0 1
5 F 34 41 21 21 23 877 10 1 1 1 2 3 2 1 0
6 G 31 45 20 10 23 377 10 0 1 1 3 2 0 3 1
7 H 33 40 23 47 23 877 10 0 1 1 3 3 1 0 1
8 I 35 44 20 47 23 77 10 2 1 0 1 1 0 1 2
9 J 34 41 6 40 23 377 10 2 1 2 2 2 1 2 2
10 K 37 45 7 38 23 377 10 1 1 1 2 2 1 2 1
11 L 37 44 13 27 23 877 20 0 2 0 2 3 1 1 0
12 M 30 45 10 41 23 877 10 2 1 2 2 3 1 1 3
13 N 31 45 14 29 23 377 6 0 1 0 1 2 2 1 1
14 O 37 40 9 31 23 377 10 0 1 2 2 2 0 3 2
15 P 31 42 5 42 23 377 10 1 1 1 1 2 0 1 0
16 Q 35 44 22 19 23 877 10 1 1 1 2 3 1 0 3
18 S 37 46 17 42 23 377 10 1 1 2 0 2 1 0 2
19 T 37 41 20 49 23 377 20 2 2 0 1 2 1 1 2
20 U 31 44 19 18 23 377 20 1 2 3 2 2 2 1 1
21 V 35 46 1 36 23 377 10 1 1 2 2 2 0 1 1
22 W 35 47 10 0 23 877 10 1 1 1 2 3 1 1 1
23 X 37 41 28 12 23 377 10 1 1 1 3 2 1 2 0
24 Y 34 41 14 35 23 77 20 1 2 1 2 1 1 0 1
25 Z 34 46 5 35 23 377 10 1 1 1 2 2 1 0 1
26 X 37 41 17 20 2 398 30 2 3 1 3 2 1 1 0 Be sure to duplicate the directory if you want to run more simulations from the same save.