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author | Niclas Dobbertin <niclas.dobbertin@mailbox.org> | 2024-07-05 10:47:43 +0200 |
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committer | Niclas Dobbertin <niclas.dobbertin@mailbox.org> | 2024-07-05 10:47:43 +0200 |
commit | e3d3c3343031a7aaba0f9c687928df11107d956f (patch) | |
tree | bccfbdcc46cdc8142d192bfa7a7fd9bae15a54a2 /modeling/model_init.py | |
parent | 3af823401ef8151dd298c73b10f7c03886c27e3d (diff) |
model init in own file
Diffstat (limited to 'modeling/model_init.py')
-rw-r--r-- | modeling/model_init.py | 243 |
1 files changed, 243 insertions, 0 deletions
diff --git a/modeling/model_init.py b/modeling/model_init.py new file mode 100644 index 0000000..a61fc9b --- /dev/null +++ b/modeling/model_init.py @@ -0,0 +1,243 @@ +#!/usr/bin/env python3 + +import pyactr as actr + +# https://stackoverflow.com/a/39644726 +def get_digit(number, n): + return number // 10**n % 10 + + +def init(): + env = actr.Environment() + Model = actr.ACTRModel(environment=env) + + DM = Model.decmem + Model.visualBuffer("visual", "visual_location", DM, finst=4) + goal = Model.goal + imaginal = Model.set_goal(name="imaginal", delay=0.2) + + actr.chunktype("number", ("number", "next", "ones", "tens", "hundreds")) + actr.chunktype( + "procedure", + ( + "proc", + "op1", + "arg1_1", + "arg1_1_idx" + "arg1_2", + "arg1_2_idx" + "op2", + "arg2_1", + "arg2_1_idx" + "arg2_2", + "arg2_2_idx" + ), + ) + actr.chunktype( + "math_goal", + ( + "task", + "result1", + "result2", + "op", + "nextop", + "arg1", + "arg1_idx" + "arg2", + "arg2_idx" + "result", + "expand_slot", + "hundreds1", + "tens1", + "ones1", + "hundreds2", + "tens2", + "ones2", + "hundreds_ans", + "tens_ans", + "ones_ans", + "mul_counter", + "mem_arg1", + "mem_arg2", + "ones_carry", + "tens_carry", + "vis_counter", + ), + ) + actr.chunktype( + "math_op", + ( + "op", + "arg1", + "arg2", + "result", + ), + ) + + # Add procedures + DM.add( + actr.makechunk( + "procedure1", + "procedure", + proc="proc1", + op1="sub", + arg1_1="Sandstein", + arg1_1_idx=4, + arg1_2="Sandstein", + arg1_2_idx=2, + op2="mul", + arg2_1="result1", + arg2_1_idx=0, + arg2_2="Mineralien", + arg2_2_idx=1, + ) + ) + + DM.add( + actr.makechunk( + "procedure2", + "procedure", + proc="proc2", + op1="mul", + arg1_1=2, + arg1_1_idx=0, + arg1_2="Algen", + arg1_2_idx=1, + op2="add", + arg2_1="result1", + arg2_1_idx=0, + arg2_2="Sandstein", + arg2_2_idx="min", + ) + ) + DM.add( + actr.makechunk( + "procedure3", + "procedure", + proc="proc3", + op1="add", + arg1_1="Gifte", + arg1_1_idx="max", + arg1_2="Gifte", + arg1_2_idx="min", + op2="add", + arg2_1="result1", + arg2_1_idx=0, + arg2_2=0, + arg2_2_idx=0, + ) + ) + DM.add( + actr.makechunk( + "procedure4", + "procedure", + proc="proc4", + op1="mul", + arg1_1="Mineralien", + arg1_1_idx=1, + arg1_2=2, + arg1_2_idx=0, + op2="sub", + arg2_1="result1", + arg2_1_idx=0, + arg2_2="Gifte", + arg2_2_idx="4", + ) + ) + DM.add( + actr.makechunk( + "procedure5", + "procedure", + proc="proc5", + op1="sub", + arg1_1="Gifte", + arg1_1_idx=3, + arg1_2="Gifte", + arg1_2_idx=2, + op2="greater", + arg2_1="result1", + arg2_1_idx=0, + arg2_2="Sandstein", + arg2_2_idx=3, + ) + ) + DM.add( + actr.makechunk( + "procedure6", + "procedure", + proc="proc6", + op1="add", + arg1_1="Sandstein", + arg1_1_idx=1, + arg1_2="Gifte", + arg1_2_idx=1, + op2="lesser", + arg2_1="result1", + arg2_1_idx=0, + arg2_2="Algen", + arg2_2_idx=1, + ) + ) + DM.add( + actr.makechunk( + "procedure_overall", + "procedure", + proc="proc_overall", + op1="sub", + arg1_1=100, + arg1_1_idx=0, + arg1_2="results", + arg1_2_idx="max", + op2="add", + arg2_1="result1", + arg2_1_idx=0, + arg2_2=0, + arg2_2_idx=0, + ) + ) + + # 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), + # ) + # ) + for i in range(0, 21): + for j in range(0, 21): + DM.add( + actr.makechunk( + f"plus{i}{j}", "math_op", op="add", arg1=i, arg2=j, result=i + j + ) + ) + return Model, DM, goal, imaginal, env |