312 lines
11 KiB
Python
312 lines
11 KiB
Python
#!/usr/bin/env python
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# coding: utf-8
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# In[1]:
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from simpful import *
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import matplotlib.pyplot as plt
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# ## Sterownik 1 - Decyzja o udziale w grze
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# ##### Dane wejściowe:
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# - Wartość żetonów
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# - Liczba przegranych z rzędu
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#
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# ##### Dane wyjściowe:
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# - Decyzja dot. udziału w grze
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# In[27]:
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def getStartDecision(chipVal, lossNum):
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"""
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Args:
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chipVal (int): current value of the player's chips
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lossNum (int): number of losses in a row
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Returns:
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str: decision
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"""
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FS = FuzzySystem(show_banner=False)
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FS.add_linguistic_variable("chipValue", AutoTriangle(3, terms=['low', 'average', 'high'], universe_of_discourse=[0, 10]))
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FS.add_linguistic_variable("numLossInRow", AutoTriangle(3, terms=['low', 'average', 'high'], universe_of_discourse=[0, 10]))
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O1 = TriangleFuzzySet(0,0,13, term="surrender")
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O2 = TriangleFuzzySet(0,13,25, term="hit")
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O3 = TriangleFuzzySet(13,15,17, term="double_down")
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O4 = TriangleFuzzySet(16,21,21, term="stand")
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FS.add_linguistic_variable("decision", LinguisticVariable([O1, O2, O3, O4], universe_of_discourse=[0, 25]))
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FS.add_rules([
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"IF (numLossInRow IS average) AND (chipValue IS average) THEN (decision IS hit)",
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"IF (numLossInRow IS high) OR (chipValue IS low) THEN (decision IS surrender)",
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"IF (numLossInRow IS low) AND (chipValue IS average) THEN (decision IS double_down)",
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"IF chipValue IS high THEN decision IS stand"
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])
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FS.set_variable("chipValue", chipVal)
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FS.set_variable("numLossInRow", lossNum)
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result = FS.inference()
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decision_terms = [(i.get_term(), FS.get_fuzzy_set('decision', i.get_term()).get_value(result['decision'])) for i in FS.get_fuzzy_sets('decision')]
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endDecision = max(decision_terms, key=lambda item:item[1])[0]
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return endDecision
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# In[28]:
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getStartDecision(7, 7)
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# In[1]:
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# FS.plot_variable('chipValue')
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# FS.plot_variable('numLossInRow')
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# FS.plot_variable('decision')
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# ## Sterownik 2 - Decyzja o strategii w przypadku pary
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# ##### Dane wejściowe:
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# - Wartość widocznej karty krupiera
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# - Wartość karty gracza (jednej z pary)
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#
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# ##### Dane wyjściowe:
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# - Decyzja dot. akcji w grze
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# In[12]:
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def getSplitDecision(dealerCard, playerCard):
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"""
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Args:
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dealerCard (int): value of the dealer card
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playerCard (int): value of the player card (one of the pair)
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Returns:
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str: decision
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"""
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FS = FuzzySystem(show_banner=False)
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T1 = TriangleFuzzySet(0,0,6, term="low")
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T2 = TriangleFuzzySet(4,6,8, term="average")
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T3 = TriangleFuzzySet(6,11,11, term="high")
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FS.add_linguistic_variable("dealerCardValue", LinguisticVariable([T1, T2, T3], universe_of_discourse=[0, 11]))
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FS.add_linguistic_variable("playerCardValue", LinguisticVariable([T1, T2, T3], universe_of_discourse=[0, 11]))
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O1 = TriangleFuzzySet(0,0,15, term="continue")
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O2 = TriangleFuzzySet(11,25,25, term="split")
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FS.add_linguistic_variable("decision", LinguisticVariable([O1, O2], universe_of_discourse=[0, 25]))
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FS.add_rules([
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"IF (playerCardValue IS high) THEN (decision IS split)",
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"IF (playerCardValue IS average) AND (dealerCardValue IS average) THEN (decision IS split)",
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"IF (playerCardValue IS average) AND (dealerCardValue IS low) THEN (decision IS split)",
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"IF (playerCardValue IS low) AND (dealerCardValue IS high) THEN (decision IS continue)",
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"IF (playerCardValue IS low) AND (dealerCardValue IS average) THEN (decision IS split)",
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"IF (playerCardValue IS low) AND (dealerCardValue IS low) THEN (decision IS continue)",
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"IF (playerCardValue IS low) AND (dealerCardValue IS high) THEN (decision IS continue)"
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])
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FS.set_variable("dealerCardValue", dealerCard)
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FS.set_variable("playerCardValue", playerCard)
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result = FS.inference()
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decision_terms = [(i.get_term(), FS.get_fuzzy_set('decision', i.get_term()).get_value(result['decision'])) for i in FS.get_fuzzy_sets('decision')]
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endDecision = max(decision_terms, key=lambda item:item[1])[0]
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return endDecision
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# In[13]:
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getSplitDecision(5, 3)
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# In[7]:
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#FS.plot_variable('dealerCardValue')
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#FS.plot_variable('playerCardValue')
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#FS.plot_variable('decision')
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# ## Sterownik 3 - Decyzja jaką akcję podjąć (gracz bez asa wśród dwóch kart)
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# ##### Dane wejściowe:
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# - Wartość widocznej karty krupiera
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# - Suma kart gracza
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# - Suma zliczonych kart
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#
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# ##### Dane wyjściowe:
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# - Decyzja dot. akcji w grze
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# In[29]:
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def getHardHandDecision(dealerCard, playerCardsVal, countedCardsVal, playerCardsNum):
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"""
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Args:
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dealerCard (int): value of the dealer card
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playerCardsVal (int): sum of the players hand
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countedCardsVal (int): value of the counted cards
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playerCardsNum (int): number of cards in players hadn
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Returns:
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str: decision
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"""
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FS = FuzzySystem(show_banner=False)
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FS.add_linguistic_variable("dealerCardValue", LinguisticVariable([
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TriangleFuzzySet(0,0,6, term="low"),
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TriangleFuzzySet(4,6,8, term="average"),
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TriangleFuzzySet(6,11,11, term="high")],
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universe_of_discourse=[0, 11]))
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FS.add_linguistic_variable("playerCardsValue", LinguisticVariable([
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TriangleFuzzySet(0,0,12, term="low"),
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TriangleFuzzySet(11,14,17, term="average"),
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TriangleFuzzySet(12,21,21, term="high")],
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universe_of_discourse=[0, 21]))
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FS.add_linguistic_variable("countedCardsValue", LinguisticVariable([
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TriangleFuzzySet(-20,-20,0, term="low"),
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TriangleFuzzySet(-5,0,5, term="average"),
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TriangleFuzzySet(0,20,20, term="high")],
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universe_of_discourse=[-20, 20]))
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O1 = TriangleFuzzySet(0,0,13, term="double down")
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O2 = TriangleFuzzySet(0,13,25, term="hit")
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O3 = TriangleFuzzySet(13,25,25, term="stand")
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FS.add_linguistic_variable("decision", LinguisticVariable([O1, O2, O3], universe_of_discourse=[0, 25]))
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if playerCardsNum == 2:
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FS.add_rules([
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"IF (playerCardsValue IS low) THEN (decision IS double down)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS high) THEN (decision IS double down)",
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"IF (playerCardsValue IS high) THEN (decision IS stand)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS average) THEN (decision IS stand)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS average) THEN (decision IS double down)"
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])
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else:
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FS.add_rules([
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"IF (playerCardsValue IS high) THEN (decision IS stand)",
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"IF (playerCardsValue IS low) THEN (decision IS hit)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS low) THEN (decision IS stand)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS high) THEN (decision IS hit)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS average) AND (countedCardsValue IS low) THEN (decision IS hit)",
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])
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FS.set_variable("dealerCardValue", dealerCard)
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FS.set_variable("playerCardsValue", playerCardsVal)
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FS.set_variable("countedCardsValue", countedCardsVal)
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result = FS.inference()
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decision_terms = [(i.get_term(), FS.get_fuzzy_set('decision', i.get_term()).get_value(result['decision'])) for i in FS.get_fuzzy_sets('decision')]
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endDecision = max(decision_terms, key=lambda item:item[1])[0]
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return endDecision
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# In[19]:
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getHardHandDecision(4, 10, 0, 2)
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# In[7]:
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# FS.plot_variable('dealerCardValue')
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# FS.plot_variable('playerCardsValue')
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# FS.plot_variable('countedCardsValue')
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# FS.plot_variable('decision')
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# ## Sterownik 4 - Decyzja jaką akcję podjąć (gracz z asem wśród dwóch kart)
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# ##### Dane wejściowe:
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# - Wartość widocznej karty krupiera
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# - Wartość drugiej karty gracza
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# - Suma zliczonych kart
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#
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# ##### Dane wyjściowe:
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# - Decyzja dot. akcji w grze
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# In[25]:
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def getSoftHandDecision(dealerCard, playerCardsVal, countedCardsVal, playerCardsNum):
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FS = FuzzySystem(show_banner=False)
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FS.add_linguistic_variable("dealerCardValue", LinguisticVariable([
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TriangleFuzzySet(0,0,6, term="low"),
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TriangleFuzzySet(4,6,8, term="average"),
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TriangleFuzzySet(6,11,11, term="high")],
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universe_of_discourse=[0, 11]))
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FS.add_linguistic_variable("playerCardsValue", LinguisticVariable([
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TriangleFuzzySet(0,0,12, term="low"),
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TriangleFuzzySet(11,14,17, term="average"),
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TriangleFuzzySet(12,21,21, term="high")],
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universe_of_discourse=[0, 21]))
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FS.add_linguistic_variable("countedCardsValue", LinguisticVariable([
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TriangleFuzzySet(-20,-20,0, term="low"),
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TriangleFuzzySet(-5,0,5, term="average"),
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TriangleFuzzySet(0,20,20, term="high")],
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universe_of_discourse=[-20, 20]))
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O1 = TriangleFuzzySet(0,0,13, term="double down")
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O2 = TriangleFuzzySet(0,13,25, term="hit")
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O3 = TriangleFuzzySet(13,25,25, term="stand")
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FS.add_linguistic_variable("decision", LinguisticVariable([O1, O2, O3], universe_of_discourse=[0, 25]))
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if playerCardsNum == 2:
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FS.add_rules([
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"IF (playerCardsValue IS average) AND (dealerCardValue IS average) THEN (decision IS double down)",
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"IF (playerCardsValue IS high) THEN (decision IS stand)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS high) THEN (decision IS hit)",
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"IF (playerCardValue IS low) AND (dealerCardValue IS low) THEN (decision IS hit)",
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])
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else:
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FS.add_rules([
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"IF (playerCardsValue IS high) THEN (decision IS stand)",
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"IF (playerCardsValue IS low) THEN (decision IS hit)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS high) THEN (decision IS Hit)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS average) AND (countedCardsValue IS high) THEN (decision IS stand)",
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"IF (playerCardsValue IS average) AND (dealerCardValue IS average) AND (countedCardsValue IS low) THEN (decision IS Hit)"
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])
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FS.set_variable("dealerCardValue", dealerCard)
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FS.set_variable("playerCardsValue", playerCardsVal)
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FS.set_variable("countedCardsValue", playerCardsVal)
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result = FS.inference()
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decision_terms = [(i.get_term(), FS.get_fuzzy_set('decision', i.get_term()).get_value(result['decision'])) for i in FS.get_fuzzy_sets('decision')]
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endDecision = max(decision_terms, key=lambda item:item[1])[0]
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return endDecision
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# In[26]:
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getSoftHandDecision(2, 8, 0, 3)
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# In[2]:
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# FS.plot_variable('dealerCardValue')
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# FS.plot_variable('playerCardValue')
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# FS.plot_variable('countedCardsValue')
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# FS.plot_variable('decision')
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