Improved usability

removed herobrine
This commit is contained in:
taxicomics 2024-04-26 18:37:23 +00:00
parent 56f499c67a
commit 4cc2362dbb
4 changed files with 29 additions and 6 deletions

View File

@ -5,3 +5,5 @@ The prisoner's dilemma is a game theory thought
experiment that involves two rational agents, each
of whom can COORPERATE for mutual benefit or betray
their partner ("defect") for individual reward.
YOUR algorithm goes in the contender.py-file. You then go to main and pit it against another contender or itself.

View File

@ -36,6 +36,7 @@ def analyze_results(game_data):
#print the results
for i in lines:
print(i)
return p_1_points,p_2_points
def play_game(games_array,func1,func2,how_many_times):
for i in range(how_many_times):
@ -43,6 +44,17 @@ def play_game(games_array,func1,func2,how_many_times):
choice_2=func2(games_array,1)
games_array.append([choice_1,choice_2])
def random_choice(game_data,player_nr):
ret=True
return ret
def analyze_scores(score_table):
average_score_p_1=0
average_score_p_2=0
p1_sum=0
p2_sum=0
for i in score_table:
p1_sum+=i[0]
p2_sum+=i[1]
average_score_p_1=p1_sum/len(score_table)
average_score_p_2=p2_sum/len(score_table)
print(str(average_score_p_1))
print(str(average_score_p_2))
#print(score_table)

15
main.py
View File

@ -9,10 +9,19 @@
import helper_functions
import contenders
#vars
#keeping track of the individual games
games=[]
#keeping track of the games scores for later analysis
scores=[]
nr_of_rounds=30
nr_of_games=300
function1=contenders.random_positive_leaner
function2=contenders.random_positive_leaner
#XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
# Put YOUR function down below
#XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
helper_functions.play_game( games,contenders.random_positive_leaner , contenders.my_winning_function ,30)
helper_functions.analyze_results(games)
for i in range(nr_of_games):
helper_functions.play_game( games,function1,function2,nr_of_rounds)
scores.append(helper_functions.analyze_results(games))
games=[]
helper_functions.analyze_scores(scores)