cristal-smac / ipd Goto Github PK

All about Iterated Prisoner's Dilemma. Python code and jupyter notebooks. See how to build new strategies and evaluate them.

License: GNU Lesser General Public License v3.0

Jupyter Notebook 90.34% Python 9.66%

game-theory iterated-prisoners-dilemma multiagent-systems complex-systems strategies prisoners dilemma python game prisoner-dilemma-simulation

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ipd's Issues

Bug report on getAction function of Tf2t class

According to the definition of Tf2t, Tf2t strategy will defect only when the opponent defected in the previous two moves.
In your implementation of Tf2t, it will defect when the opponent defected in the previous move, so
I think the following program needs to be modified. We present the modified version as “After fix”.

Now

ipd/src/strategies.py

Lines 60 to 67 in e6862a8

 def getAction(self, tick): 

 if tick == 0 or tick == 1: 

 return "C" 

 else: 

 if self.hisPast[-1] == "D" and self.hisPast[-2]: 

 return "D" 

 else: 

 return "C"

After fix

    def getAction(self, tick):
        if tick == 0 or tick == 1:
            return "C"
        else:
            if self.hisPast[-1] == "D" and self.hisPast[-2]=="D": #here
                return "D"
            else:
                return "C"

AttributeError: 'Game' object has no attribute 'ran'

AttributeError Traceback (most recent call last)
Cell In[38], line 13
9 bag += [setGenericName(strat)]
12 # Evolution of the initial class
---> 13 e1 = Ecological(g, mem11)
14 e1.run()
16 evol=e1.historic

File ~/Dropbox/newGit/prisoners del/src/ipd.py:127, in Ecological.init(self, tournament, pop, max_iter)
125 self.max_iter = max_iter
126 self.tournament = tournament
--> 127 if not tournament.ran:
128 print("warning: running passed Tournament. This step may take a while.")
129 self.tournament.run()

AttributeError: 'Game' object has no attribute 'ran'

Running a ecological simulation results in an error

Running the provided example or anything else as an ecological simulation fails:

Python version:

Python 3.8.6 (tags/v3.8.6:db45529, Sep 23 2020, 15:52:53) [MSC v.1927 64 bit (AMD64)] on win32

I'm running this on Windows 10 64-bit if that helps.

Error Message:

>>> e.run()
C:\Users\macbr\Programming\ipd\src\ipd.py:206: RuntimeWarning: overflow encountered in long_scalars
  self.base * parent * self.scores[strat.name] / total
C:\Users\macbr\Programming\ipd\src\ipd.py:193: RuntimeWarning: overflow encountered in long_scalars
  self.scores[strat.name]
C:\Users\macbr\Programming\ipd\src\ipd.py:192: RuntimeWarning: overflow encountered in long_scalars
  total += (
C:\Users\macbr\Programming\ipd\src\ipd.py:206: RuntimeWarning: invalid value encountered in long_scalars
  self.base * parent * self.scores[strat.name] / total
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\macbr\Programming\GitHub\ipd\src\ipd.py", line 205, in run
    self.historic.at[self.generation + 1, strat.name] = math.floor(
ValueError: cannot convert float NaN to integer

>>> e.run()
C:\Users\macbr\Programming\ipd\src\ipd.py:206: RuntimeWarning: overflow encountered in long_scalars
  self.base * parent * self.scores[strat.name] / total
C:\Users\macbr\Programming\ipd\src\ipd.py:193: RuntimeWarning: overflow encountered in long_scalars
  self.scores[strat.name]
C:\Users\macbr\Programming\ipd\src\ipd.py:192: RuntimeWarning: overflow encountered in long_scalars
  total += (
Warning : max_iter reached

at one point also:

>>> e.run()
C:\Users\macbr\Programming\ipd\src\ipd.py:206: RuntimeWarning: overflow encountered in long_scalars
  self.base * parent * self.scores[strat.name] / total
Warning : max_iter reached

DrawPlot() Results:

These are the drawPlot() results for the example in the README.md

The affected readme for reference f2f766d

Unfortunately I don't have much experience with python, else I would try to fixing these issues myself.
Macbrayne

Are the ecological simulation examples working?

I'm having troubles executing the examples for running a ecological simulation. If I try running

from ipd import *
from strategies import *

bag=[Periodic("D"), HardMajority(), Tft(), Spiteful(),  Gradual()]
e= Ecological(g,bag, 1000, pop=[100])
e.run()
e.tournament.matrix
e.historic
e.drawPlot()

I get the error message:

Traceback (most recent call last):
  File "c:/Users/<redacted>/GitHub/ipd_experiments/test.py", line 5, in <module>
    e= Ecological(g,bag, 1000, pop=[100])
TypeError: __init__() got multiple values for argument 'pop'

I'm unfortunately not very experienced in Python; is this connected to your recent changes to the Ecological class?

cristal-smac / ipd Goto Github PK

ipd's People

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ipd's Issues

Bug report on getAction function of Tf2t class

AttributeError: 'Game' object has no attribute 'ran'

Running a ecological simulation results in an error

Python version:

Error Message:

DrawPlot() Results:

Are the ecological simulation examples working?

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	def getAction(self, tick):
	if tick == 0 or tick == 1:
	return "C"
	else:
	if self.hisPast[-1] == "D" and self.hisPast[-2]:
	return "D"
	else:
	return "C"