In [41]:

    

%pylab inline
%run ../game_theory.py


    

    




Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].
For more information, type 'help(pylab)'.

In [42]:

    

test_game = BimatrixTwoStrategyGame(6.0,6.0,4.9,7.0,6.1,4.0,3.0,3.0)


    

In [43]:

    

test_game.find_nash()


    

    
Out[43]:





[(1.0, 0.0), (0.0, 1.0), (0.5, 0.9500000000000002)]

In [44]:

    

print test_game


    

    




[(6.0,6.0), (4.9,7.0), 
 (6.1,4.0), (3.0,3.0)]

In [45]:

    

print test_game.transpose()


    

    




[(7.0,4.9), (3.0,3.0), 
 (6.0,6.0), (4.0,6.1)]

In [46]:

    

test_game.transpose().find_nash()


    

    
Out[46]:





[(1.0, 1.0), (0.0, 0.0), (0.04999999999999982, 0.5)]

In [47]:

    

test_game.transpose().find_risk_dominant_equilibrium()


    

    
Out[47]:





(1.0, 1.0)

In [48]:

    

test_game.find_risk_dominant_equilibrium()


    

    
Out[48]:





(1.0, 0.0)

In [49]:

    

test_game.find_nash()


    

    
Out[49]:





[(1.0, 0.0), (0.0, 1.0), (0.5, 0.9500000000000002)]

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