-
Notifications
You must be signed in to change notification settings - Fork 0
Open
Description
from python_actr import *
from python_actr_hdm import *
import python_actr
log=python_actr.log()
class MyEnvironment(Model):
pass
class MyAgent(ACTR):
focus=Buffer()
DMbuffer=Buffer()
Use_HDM = True
if Use_HDM: # standard latency = 0.05
DM=HDM(DMbuffer,N=64,latency=0.5,threshold=-888,verbose=True,noise=0.000001,forgetting=0.0,finst_size=22,finst_time=100.0)
else: # standard latency = 0.05
DM=Memory(DMbuffer,latency=3.0,threshold=-8,finst_size=22,finst_time=100.0)
# latency controls the relationship between activation and recall
# activation must be above threshold - can be set to none
dm_n=DMNoise(DM,noise=0.0,baseNoise=0.0) # turn on for DM subsymbolic processing
dm_bl=DMBaseLevel(DM,decay=0.5,limit=None) # turn on for DM subsymbolic processing
focus.set('goal:recall')
DM.add('animal tiger')
DM.add('animal tiger')
DM.add('animal tiger')
DM.add('animal tiger')
DM.add('animal tiger')
DM.add('animal lion')
DM.add('animal lion')
DM.add('animal tiger')
DM.add('animal tiger')
def request(focus='goal:recall'):
print("requesting")
DM.request('animal ?')
focus.set('goal:retrieve')
def retrieve(focus='goal:retrieve',DMbuffer='animal ?B',DM='busy:False'):
print("retrieved")
print (B)
DMbuffer.set('nil')
focus.set('goal:stop')
tim=MyAgent()
somewhere=MyEnvironment()
somewhere.agent=tim
log_everything(somewhere)
somewhere.run()
Metadata
Metadata
Assignees
Labels
No labels