質問編集履歴

誤字を修正しました

2021/10/07 09:04

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HGK

スコア29

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@@ -454,6 +454,8 @@
         self.frind_list.append(agent.id)
+        agent.hi_friend_list.append(self.id)
       elif self.lc[agent.id] <= -0.04:
         self.exclusion_list.append(agent.id)
@@ -470,7 +472,7 @@
   def update_f(self,turn): #影響力の更新
-    self.s.append(len(self.hi_frind_list)-len(self.hi_exclusion_list))
+    self.s.append(len(self.hi_friend_list)-len(self.hi_exclusion_list))
     dr = rm*(self.s[turn+1]-self.s[turn])

補足

2021/10/07 09:04

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HGK

スコア29

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@@ -194,7 +194,7 @@
       h = a*self.lp[agent.id]+b*self.lagent[agent.id]*(1-(self.f-agent.f))+c*(self.f-agent.f)
-      h = (h+0.8)/1.6
+      h = (h+0.8)/1.6 #正規化
       z += h
@@ -206,7 +206,7 @@
       h = a*self.lp[agent.id]+b*self.lagent[agent.id]*(1-(self.f-agent.f))+c*(self.f-agent.f)
-      h = (h+0.8)/1.6
+      h = (h+0.8)/1.6 #正規化
       weight = h / z

誤字

2021/10/07 07:38

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HGK

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@@ -4,9 +4,9 @@
 シミュレーションの流れは、
-会話相手（1人）の選択→話題対象の選択→好感度の更新（2種類）→関係の構築→影響力の更新
+会話相手（1人）の選択→話題対象の選択→好感度の更新（2種類）→関係の構築
-→想像している人間関係の更新
+→影響力の更新→想像している人間関係の更新
 以上の流れで行います

誤字

2021/10/07 07:37

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HGK

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@@ -1,6 +1,6 @@
 大学の卒業研究でマルチエージェントシミュレーションを用いて学級モデルを構築しています。
-生徒は想像している好感度、実際の好感度、クラス内での影響力の３つの設定を持っています。
+生徒は想像している人間関係、他の生徒への好感度、クラス内での影響力の３つの設定を持っています。
 シミュレーションの流れは、
@@ -120,7 +120,7 @@
-  def First_set(self,agents):
+  def First_set(self,agents): #初期設定
     issues = 10
@@ -178,7 +178,7 @@
-  def decide_talk_man(self,agents):
+  def decide_talk_man(self,agents): #会話相手の選択
     agents_except_me = {}
@@ -222,7 +222,7 @@
-  def decide_topic(self,agents,talk):
+  def decide_topic(self,agents,talk): #話題対象の選択
     talks = self.talk[0]
@@ -290,306 +290,306 @@
+    for issue in range(issues):
+      for agent in agents:
+        if agent is self:
+          continue
+        if agent.id ==talks:
+          r = abs(self.lx[issue]*self.f+self.lxagent[issue][agent.id]*talk_f)/zz
+          issue += 31
+          topic_except_me[issue] = issue
+          weights_for_me.append(r)
+    self.topic = random.choices(topic_except_me, weights=weights_for_me)
+    print(self.topic)
+    return self.topic
+  def update_like1(self,agents,talk,topic): #好感度更新１
+    talks = talk[0]
+    topics = topic[0]
+    if topics <= 30:
+      x = self.lp[talks]
+      y = self.lp[topics]
+      z = self.lpi[talks][topics]
+    else:
+      topics -= 31
+      x = self.lx[topics]
+      y = self.lp[talks]
+      z = self.lxagent[topics][talks]
+    l = x*y*z
+    if l>=0:
+      dlu1 = gij(y,z,x)
+      dlx1 = gij(x,z,y)
+    else:
+      if x >= y:
+        dlu1 = gij(x,z,0)
+        dlx1 = 0
+      else:
+        dlu1 = 0
+        dlx1 = gij(y,z,0)
+    for agent in agents:
+      if agent.id is talks:
+        r = w1*self.lp[talks]+w2*self.lagent[talks]*(1-(self.f-agent.f))+w3*(self.f-agent.f)
+        r = (r+0.8)/1.6
+        break
+    weights_for_stra = {r,1-r}
+    kinds_of_stra = ["mini","same"]
+    stra = random.choices(kinds_of_stra, weights=weights_for_stra)
+    if stra is "mini":
+      dlu2 = v2*(self.lagent[talks]-self.lp[talks])
+    else:
+      dlu2 = v3*sign(1,(self.lagent[talks]))*(abs(self.lagent[talks]+self.lp[talks]))
+    dlu = dlu1+dlu2
+    dlx = dlx1
+    return dlu,dlx
+  def update_like2(self,talk,topic,dlu,dlx): #好感度更新2
+    talks = self.talk[0]
+    topics = self.topic[0]
+    self.lp[talks] = self.lp[talks]+dlu
+    self.lc[talks] = self.lp[talks]
+    if topics <= 30:
+      self.lp[topics] += dlx
+      if self.lp[topics] > 1.0:
+        self.lp[topics] = 1.0
+      elif self.lp[topics] < -1.0:
+        self.lp[topics] = -1.0
+    else:
+      topics -= 31
+      self.lx[topics] += dlx
+      if self.lx[topics] > 1.0:
+        self.lx[topics] = 1.0
+      elif self.lx[topics] < -1.0:
+        self.lx[topics] = -1.0
+  def link(self,agents): #関係の構築
+    for agent in agents:
+      if agent is self:
+        continue
+      if self.lc[agent.id] >= 0.12:
+        self.frind_list.append(agent.id)
+      elif self.lc[agent.id] <= -0.04:
+        self.exclusion_list.append(agent.id)
+        agent.hi_exclusion_list.append(self.id)
+      else:
+        pass
+  def update_f(self,turn): #影響力の更新
+    self.s.append(len(self.hi_frind_list)-len(self.hi_exclusion_list))
+    dr = rm*(self.s[turn+1]-self.s[turn])
+    self.f += dr
+    if  self.f > 1.0:
+      self.f = 1.0
+    elif  self.f < 0:
+      self.f = 0
+  def updete_Pnet(self,agents): #自分が想像している人間関係の更新
+    for agent in agents:
+      for age in agents:
+        if agent is age or self is agent:
+          continue
+        E = np.random.uniform(low=-0.3, high=0.3, size=None)
+        dlp = ap*(agent.lc[age.id]-self.lpi[agent.id][age.id])+E
+        self.lpi[agent.id][age.id] += dlp
+        if  self.lpi[agent.id][age.id] > 1.0:
+           self.lpi[agent.id][age.id] = 1.0
+        elif  self.lpi[agent.id][age.id] < -1.0:
+           self.lpi[agent.id][age.id] = -1.0
+class Simulation:
+  def __init__(self):
+    self.agents = []
+  def generate_agents(self, agents_num):
+    self.agents = [Agent(agent_id) for agent_id in range(agents_num)]
+    for agent in self.agents:
+      agent.First_set(self.agents)
+  def play_the_game(self,episode):
+    num_agents = 31
+    turns = 3000
+    self.generate_agents(num_agents)
+    for turn in range(turns):
+      print(turn,"ターン目")
+      for agent in self.agents:
+        print(agent)
+        self.talk = agent.decide_talk_man(self.agents)
+        self.topic = agent.decide_topic(self.agents,self.talk)
+        dlu,dlx = agent.update_like1(self.agents,self.talk,self.topic)
+        agent.update_like2(self.talk,self.topic,dlu,dlx)
+        agent.link(self.agents)
+        agent.update_f(turn)
+        agent.updete_Pnet(self.agents)
+simulation = Simulation()
+simulation.play_the_game(31)
+for agent in simulation.agents:
+    print("Likabilities for Agent", agent.id, ":")
+    for agent_id in agent.lc:
+      print("    agent", agent_id, ":", agent.lc[agent_id])
     for issue in range(issues):
-      for agent in agents:
-        if agent is self:
-          continue
-        if agent.id ==talks:
-          r = abs(self.lx[issue]*self.f+self.lxagent[issue][agent.id]*talk_f)/zz
-          issue += 31
-          topic_except_me[issue] = issue
-          weights_for_me.append(r)
-    self.topic = random.choices(topic_except_me, weights=weights_for_me)
-    print(self.topic)
-    return self.topic
-  def update_like1(self,agents,talk,topic):
-    talks = talk[0]
-    topics = topic[0]
-    if topics <= 30:
-      x = self.lp[talks]
-      y = self.lp[topics]
-      z = self.lpi[talks][topics]
-    else:
-      topics -= 31
-      x = self.lx[topics]
-      y = self.lp[talks]
-      z = self.lxagent[topics][talks]
-    l = x*y*z
-    if l>=0:
-      dlu1 = gij(y,z,x)
-      dlx1 = gij(x,z,y)
-    else:
-      if x >= y:
-        dlu1 = gij(x,z,0)
-        dlx1 = 0
-      else:
-        dlu1 = 0
-        dlx1 = gij(y,z,0)
-    for agent in agents:
-      if agent.id is talks:
-        r = w1*self.lp[talks]+w2*self.lagent[talks]*(1-(self.f-agent.f))+w3*(self.f-agent.f)
-        r = (r+0.8)/1.6
-        break
-    weights_for_stra = {r,1-r}
-    kinds_of_stra = ["mini","same"]
-    stra = random.choices(kinds_of_stra, weights=weights_for_stra)
-    if stra is "mini":
-      dlu2 = v2*(self.lagent[talks]-self.lp[talks])
-    else:
-      dlu2 = v3*sign(1,(self.lagent[talks]))*(abs(self.lagent[talks]+self.lp[talks]))
-    dlu = dlu1+dlu2
-    dlx = dlx1
-    return dlu,dlx
-  def update_like2(self,talk,topic,dlu,dlx):
-    talks = self.talk[0]
-    topics = self.topic[0]
-    self.lp[talks] = self.lp[talks]+dlu
-    self.lc[talks] = self.lp[talks]
-    if topics <= 30:
-      self.lp[topics] += dlx
-      if self.lp[topics] > 1.0:
-        self.lp[topics] = 1.0
-      elif self.lp[topics] < -1.0:
-        self.lp[topics] = -1.0
-    else:
-      topics -= 31
-      self.lx[topics] += dlx
-      if self.lx[topics] > 1.0:
-        self.lx[topics] = 1.0
-      elif self.lx[topics] < -1.0:
-        self.lx[topics] = -1.0
-  def link(self,agents):
-    for agent in agents:
-      if agent is self:
-        continue
-      if self.lc[agent.id] >= 0.12:
-        self.frind_list.append(agent.id)
-      elif self.lc[agent.id] <= -0.04:
-        self.exclusion_list.append(agent.id)
-        agent.hi_exclusion_list.append(self.id)
-      else:
-        pass
-  def update_f(self,turn):
-    self.s.append(len(self.hi_frind_list)-len(self.hi_exclusion_list))
-    dr = rm*(self.s[turn+1]-self.s[turn])
-    self.f += dr
-    if  self.f > 1.0:
-      self.f = 1.0
-    elif  self.f < 0:
-      self.f = 0
-  def updete_Pnet(self,agents):
-    for agent in agents:
-      for age in agents:
-        if agent is age or self is agent:
-          continue
-        E = np.random.uniform(low=-0.3, high=0.3, size=None)
-        dlp = ap*(agent.lc[age.id]-self.lpi[agent.id][age.id])+E
-        self.lpi[agent.id][age.id] += dlp
-        if  self.lpi[agent.id][age.id] > 1.0:
-           self.lpi[agent.id][age.id] = 1.0
-        elif  self.lpi[agent.id][age.id] < -1.0:
-           self.lpi[agent.id][age.id] = -1.0
-class Simulation:
-  def __init__(self):
-    self.agents = []
-  def generate_agents(self, agents_num):
-    self.agents = [Agent(agent_id) for agent_id in range(agents_num)]
-    for agent in self.agents:
-      agent.First_set(self.agents)
-  def play_the_game(self,episode):
-    num_agents = 31
-    turns = 3000
-    self.generate_agents(num_agents)
-    for turn in range(turns):
-      print(turn,"ターン目")
-      for agent in self.agents:
-        print(agent)
-        self.talk = agent.decide_talk_man(self.agents)
-        self.topic = agent.decide_topic(self.agents,self.talk)
-        dlu,dlx = agent.update_like1(self.agents,self.talk,self.topic)
-        agent.update_like2(self.talk,self.topic,dlu,dlx)
-        agent.link(self.agents)
-        agent.update_f(turn)
-        agent.updete_Pnet(self.agents)
-simulation = Simulation()
-simulation.play_the_game(31)
-for agent in simulation.agents:
-    print("Likabilities for Agent", agent.id, ":")
-    for agent_id in agent.lc:
-      print("    agent", agent_id, ":", agent.lc[agent_id])
-    for issue in range(issues):
       print("    issue", issue, ":", agent.lx[issue])
     print("    frind", ":", agent.frlist)