Create dcogsphere.py

dcogsphere.py

@@ -0,0 +1,38 @@
+# to run Python-ACT-R in Notebook, we need to install the package if not done already:
+from python_actr import *
+
+# Using the code above, if python_actr is not installed, it first install python_actr 
+# then imports its modules: from python_actr import *
+# so no needs to import the following modules one by one, but you can use them instead 
+# by uncommenting one by one, when needed, instead of importing everything at once:
+#import python_actr
+#from python_actr import log
+#from python_actr import ACTR
+#from python_actr import Model
+#from python_actr import Buffer
+#from python_actr import Memory
+#from python_actr import DMSpreading
+#from python_actr import log_everything
+class MyEnv(Model):
+  pass
+class MyAgent(ACTR):
+  production_time = 0.05
+  production_sd = 0.01
+  production_threshold = -20
+  
+  goal = Buffer() # Creating the goal buffer for the agent
+  
+  def init(): # this rule fires when the agent is instantiated.
+    goal.set("sandwich bread") # set goal buffer to direct program flow
+  def bread_bottom(goal="sandwich bread"): # if goal="sandwich bread" , fire rule
+    print("I have a piece of bread2")
+    #logging.warning("I have a piece of bread")
+    goal.set("stop") # set goal buffer to direct program flow
+  def stop_production(goal="stop"):
+    self.stop() # stop the agent
+
+tim = MyAgent()
+subway=MyEnv()
+subway.agent=tim
+log_everything(subway)
+subway.run()