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#!/usr/bin/env python3
import pyactr as actr
import prod_addition
import prod_comp
# https://stackoverflow.com/a/39644726
def get_digit(number, n):
return number // 10**n % 10
def init():
Model = actr.ACTRModel()
DM = Model.decmem
goal = Model.goal
imaginal = Model.set_goal(name="imaginal", delay=0)
actr.chunktype("number", ("number", "next", "ones", "tens", "hundreds"))
actr.chunktype("math_goal", ("op", "task"))
actr.chunktype(
"math_op",
(
"op",
"arg1",
"arg2",
"result",
"hundreds1",
"tens1",
"ones1",
"hundreds2",
"tens2",
"ones2",
"hundreds_ans",
"tens_ans",
"ones_ans",
"carry_ones",
"carry_tens",
),
)
# Add numbers 0-999 to decmem
for i in range(0, 1000):
DM.add(
actr.makechunk(
f"number{str(i)}",
"number",
number=i,
next=i + 1,
ones=get_digit(i, 0),
tens=get_digit(i, 1),
hundreds=get_digit(i, 2),
)
)
# Add comparison relations to single digit numbers
for i in range(0, 11):
for j in range(0, 11):
DM.add(
actr.makechunk(
f"greater{i}{j}",
"math_op",
op="greater",
arg1=i,
arg2=j,
result=max(i, j),
)
)
DM.add(
actr.makechunk(
f"lesser{i}{j}",
"math_op",
op="lesser",
arg1=i,
arg2=j,
result=min(i, j),
)
)
DM.add(
actr.makechunk(
f"plus{i}{j}", "math_op", op="add", arg1=i, arg2=j, result=i + j
)
)
return Model, DM, goal, imaginal
def add_goal(goal, imaginal, op, arg1, arg2):
goal.add(actr.makechunk("", "math_goal", op=op, task="calc"))
imaginal.add(
actr.makechunk(
"",
"math_op",
op=op,
arg1=arg1,
arg2=arg2,
ones1=get_digit(arg1, 0),
tens1=get_digit(arg1, 1),
hundreds1=get_digit(arg1, 2),
ones2=get_digit(arg2, 0),
tens2=get_digit(arg2, 1),
hundreds2=get_digit(arg2, 2),
)
)
def unwind_prod():
# Model.productionstring(
# name="init_math_op",
# string="""
# =g>
# isa math_op
# task None
# arg1 =num1
# arg2 =num2
# ==>
# +retrieval>
# isa number
# number =num1
# =g>
# task unwind_left
# """,
# )
Model.productionstring(
name="terminate_op",
string="""
=g>
isa math_goal
task finished_op
=imaginal>
isa math_op
result =answer
==>
~g>""",
)
def wait_input():
op = input("op\n")
arg1 = input("arg1\n")
arg2 = input("arg2\n")
return op, int(arg1), int(arg2)
def start():
while(True):
op, arg1, arg2 = wait_input()
Model, DM, goal, imaginal = init()
add_goal(goal, imaginal, op, arg1, arg2)
# unwind_prod()
add_prods = prod_addition.addition(Model)
greater_prods = prod_comp.greater_than(Model)
for prod in add_prods:
print(prod)
print("\n")
# Model.goal.add(actr.makechunk("goal", "math_op", op="greater", arg1=5, arg2=9))
print("goal: ", goal)
print("imaginal: ", imaginal)
x = Model.simulation()
x.run()
print("goal: ", goal)
print("imaginal: ", imaginal)
# imaginal.show("hundreds_ans")
# imaginal.show("tens_ans")
# imaginal.show("ones_ans")
result_ones = str(getattr(imaginal._data.copy().pop(), "ones_ans"))
result_tens = str(getattr(imaginal._data.copy().pop(), "tens_ans"))
result_huns = str(getattr(imaginal._data.copy().pop(), "hundreds_ans"))
result_num = result_huns + result_tens + result_ones
print(result_num)
# print(list(DM))
numbers = [x for x in list(DM) if x.typename != "number" and x.typename != "math_op"]
numbers = [x for x in list(DM) if x.typename != "number" and x.typename == "math_op"]
# print(numbers)
if __name__ == "__main__":
start()
|
