def tscizzle_strategies():
"""The list of strategies used in @tscizzle's Morality Metrics paper."""
strategies = [
axelrod.Cooperator(),
axelrod.Defector(),
axelrod.Eatherley(),
axelrod.Champion(),
axelrod.GTFT(p=0.1),
axelrod.GTFT(p=0.3),
axelrod.GoByMajority(soft=True),
axelrod.GoByMajority(soft=False),
axelrod.TitFor2Tats(),
axelrod.Random(0.8),
axelrod.Random(0.5),
axelrod.Random(0.2),
axelrod.WinStayLoseShift(), # Pavlov
axelrod.TitForTat(),
axelrod.TwoTitsForTat(),
axelrod.Grudger(), # Friedman
axelrod.Tester(),
axelrod.SuspiciousTitForTat(),
axelrod.Joss(0.9),
axelrod.Joss(0.7),
]
return strategies
def sp_strategies():
"""The list of strategies used in Stewart and Plotkin's 2012 tournament."""
strategies = [
axelrod.Cooperator(), # ALLC
axelrod.Defector(), # ALLD
axelrod.GTFT(),
axelrod.GoByMajority(soft=False), # HARD_MAJO
#axelrod.GoByMajority(soft=True), # SOFT_MAJO
axelrod.TitFor2Tats(), # TFT2
axelrod.HardTitFor2Tats(), # HARD_TFT2
axelrod.Random(), # RANDOM
axelrod.WinStayLoseShift(), # WSLS
axelrod.TitForTat(),
axelrod.HardTitForTat(), # HARD_TFT
axelrod.Grudger(), # GRIM
axelrod.Joss(), # HARD_JOSS
axelrod.ZDGTFT2(),
axelrod.ZDExtort2(),
axelrod.Prober(),
axelrod.Prober2(),
axelrod.Prober3(),
axelrod.HardProber(),
axelrod.Calculator(),
]
return strategies
def test_multiple_instances(self):
"""Certain instances of classes of strategies will have different
classifiers based on the initialisation variables"""
P1 = axelrod.MemoryOnePlayer((.5, .5, .5, .5))
P2 = axelrod.MemoryOnePlayer((1, 0, 0, 1))
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axelrod.Joss()
P2 = axelrod.Joss(0)
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axelrod.GTFT(1)
P2 = axelrod.GTFT(.5)
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axelrod.StochasticWSLS()
P2 = axelrod.StochasticWSLS(0)
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axelrod.GoByMajority(5)
P2 = axelrod.StochasticWSLS(.1)
self.assertNotEqual(P1.classifier, P2.classifier)
def test_multiple_instances(self):
"""Certain instances of classes of strategies will have different
classifiers based on the initialisation variables"""
P1 = axl.MemoryOnePlayer(four_vector=(.5, .5, .5, .5))
P2 = axl.MemoryOnePlayer(four_vector=(1, 0, 0, 1))
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axl.Joss()
P2 = axl.Joss(p=0)
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axl.GTFT(p=1)
P2 = axl.GTFT(p=.5)
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axl.StochasticWSLS()
P2 = axl.StochasticWSLS(ep=0)
self.assertNotEqual(P1.classifier, P2.classifier)
P1 = axl.GoByMajority(memory_depth=5)
P2 = axl.StochasticWSLS(ep=.1)
self.assertNotEqual(P1.classifier, P2.classifier)
plt.close()
# The list of agents playing in the Axelrod's first tournament, except Graaskamp
axl_first_players = [
axl.TitForTat(),
axl.TidemanAndChieruzzi(),
axl.Nydegger(),
axl.Grofman(),
axl.Shubik(),
axl.SteinAndRapoport(),
axl.Grudger(),
axl.Davis(),
axl.RevisedDowning(),
axl.Feld(),
axl.Joss(),
axl.Tullock(),
axl.UnnamedStrategy(),
axl.Random()
]
# The list of agents playing in the Axelrod's second tournament. Incomplete
axl_second_players = [
axl.Black(),
axl.Borufsen(),
axl.Cave(),
axl.Champion(),
axl.Colbert(),
axl.Eatherley(),
axl.Getzler(),
axl.Gladstein(),