Dog-walking-production-module

A basic python ACT-R production model. A re-make of a ham and cheese sandwich production module.

################# walk a dog production model ##################

Emily Greve

this is a simple ACT-R model

it uses two production systems and one buffer

the buffer represents the focus of thought, and is called the focus buffer

the productions will fire if the production matches the focus buffer

once a production fires the focus buffer will change

import ccm log=ccm.log(html=True)

from ccm.lib.actr import *

python ACT-R requires an environment

class House(ccm.Model): # items in the environment look and act like objects dog=ccm.Model(isa='dog',colour='black',name='nakoda',location='in_house') collar=ccm.Model(isa='collar',location='on_hook') leash=ccm.Model(isa='leash',location='on_hook') door=ccm.Model(isa='door',location='closed') walk=ccm.Model(isa='action',location='not_started')

create a motor module to do the action

class MotorModule(ccm.Model): def call_dog(self): # note that technically the motor module is outside the agent yield 5 # but it is controlled from within print "found the dog" self.parent.parent.dog.location='with_me' #self=Motor, parent=MyAgent, parent of parent=House def do_collar(self): yield 2 print "the collar is on" self.parent.parent.collar.location='on_dog' def do_leash(self): yield 2 print "the leash is attatched to the collar" self.parent.parent.leash.location='on_collar' def do_door(self): yield 2 print "turn the handle and open the door" self.parent.parent.door.location='open' def do_walk(self): yield 10 print "start walking" self.parent.parent.walk.location='started'

now we create the agent

class MyAgent(ACTR): focus=Buffer() motor=MotorModule()

def init():
    focus.set('find dog')

def find_dog(focus='find dog'):                                    # if focus buffer has this chunk then...
    print ("I have called the dogs name, she is in the room now")  # print
    focus.set('put on collar')                                     # change the focus buffer
    motor.call_dog()

def add_collar(focus='put on collar', dog='location:with_me'):     # the rest of the productions are the same
    print ("I caught the dog and now I am putting on her collar")  # but carry out different actions
    focus.set('clip on leash')
    motor.do_collar()

def add_leash(focus='clip on leash', collar='location:on_dog'):
    print ("I am clipping the leash onto the collar")
    focus.set('open door')
    motor.do_leash()

def open_door(focus='open door',leash='location:on_collar'):
    print ("I'm holding the leash so the dog doesn't run out")
    focus.set('start walk')
    motor.do_door()

def start_walk(focus='start walk',door='location:open'):        # wait for the action to complete before stopping
    print ("I have left the house")
    focus.set('stop')
    motor.do_walk()

def stop_production(focus='stop',walk='location:started'):
    self.stop()                      # stop the agent

Chia=MyAgent() # name the agent env=House() # name the environment env.agent=Chia # put the agent in the environment ccm.log_everything(env) # print out what happens in the environment

env.run() # run the environement ccm.finished() # stop the environement