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Diffstat (limited to 'modeling/pyactr_tut.py')
| -rw-r--r-- | modeling/pyactr_tut.py | 512 |
1 files changed, 512 insertions, 0 deletions
diff --git a/modeling/pyactr_tut.py b/modeling/pyactr_tut.py new file mode 100644 index 0000000..a44209e --- /dev/null +++ b/modeling/pyactr_tut.py @@ -0,0 +1,512 @@ +#!/usr/bin/env python3 + +import pyactr as actr + + +def memory_motor(): + playing_memory = actr.ACTRModel() + + actr.chunktype("playgame", "game, activity") + + initial_chunk = actr.makechunk(typename="playgame", game="memory") + + goal = playing_memory.set_goal("goal") + + playing_memory.productionstring( + name="startplaying", + string=""" + =goal> + isa playgame + game memory + activity None + ?manual> + state free + ==> + =goal> + isa playgame + activity presskey + """, + ) + + playing_memory.productionstring( + name="presskey", + string=""" + =goal> + isa playgame + game memory + activity presskey + ==> + +manual> + isa _manual + cmd press_key + key 1 + =goal> + isa playgame + activity None + """, + ) + + simulation_game = playing_memory.simulation() + simulation_game.run() + + +def memory_vision(): + environment = actr.Environment() + playing_memory = actr.ACTRModel(environment=environment) + + memory = [{}, {"A": {"text": "A", "position": (100, 100)}}] + + goal = playing_memory.set_goal("goal") + actr.chunktype("playgame", "game, activity, key, object") + initial_chunk = actr.makechunk(typename="playgame", game="memory", key="1") + goal.add(initial_chunk) + + playing_memory.productionstring( + name="startplaying", + string=""" + =goal> + isa playgame + game memory + activity None + ==> + =goal> + isa playgame + activity presskey""", + ) + + playing_memory.productionstring( + name="presskey", + string=""" + =goal> + isa playgame + game memory + activity presskey + key =k + ==> + +manual> + isa _manual + cmd press_key + key =k + =goal> + isa playgame + activity attend""", + ) + + playing_memory.productionstring( + name="attendobject", + string=""" + =goal> + isa playgame + game memory + activity attend + =visual_location> + isa _visuallocation + ?manual> + state free + ==> + =goal> + isa playgame + activity storeobject + +visual> + isa _visual + cmd move_attention + screen_pos =visual_location""", + ) + + playing_memory.productionstring( + name="storeobject", + string=""" + =goal> + isa playgame + game memory + activity storeobject + =visual> + isa _visual + value =v + ==> + =goal> + isa playgame + activity None + object =v""", + ) + + simulation = playing_memory.simulation( + gui=False, + environment_process=environment.environment_process, + stimuli=memory, + triggers="1", + ) + simulation.run() + + print(goal) + + +def memory_memory(): + environment = actr.Environment() + playing_memory = actr.ACTRModel(environment=environment) + + memory = [ + {}, + {"A": {"text": "A", "position": (100, 100)}}, + {"A": {"text": "A", "position": (100, 100)}}, + ] + + goal = playing_memory.set_goal("goal") + actr.chunktype("playgame", "game, activity, key, object") + initial_chunk = actr.makechunk(typename="playgame", game="memory", key="1") + goal.add(initial_chunk) + + playing_memory.productionstring( + name="startplaying", + string=""" + =goal> + isa playgame + game memory + activity None + object None + ==> + =goal> + isa playgame + activity presskey""", + ) + + playing_memory.productionstring( + name="continueplaying", + string=""" + =goal> + isa playgame + game memory + activity None + object ~None + ==> + =goal> + isa playgame + game memory + activity recall""", + ) + + playing_memory.productionstring( + name="recallvalue", + string=""" + =goal> + isa playgame + game memory + activity recall + object =val + ==> + =goal> + isa playgame + game memory + activity checkrecalled + +retrieval> + isa playgame + object =val""", + ) + + playing_memory.productionstring( + name="recallsuccessful", + string=""" + =goal> + isa playgame + game memory + activity checkrecalled + object =val + ?retrieval> + buffer full + =retrieval> + isa playgame + key =k + ==> + =goal> + isa playgame + key =k + activity done""", + ) + + playing_memory.productionstring( + name="recallfailed", + string=""" + =goal> + isa playgame + game memory + activity checkrecalled + key 1 + object =val + ?retrieval> + state error + ==> + ~goal> + +goal> + isa playgame + game memory + activity presskey + key 2""", + ) + + playing_memory.productionstring( + name="presskey", + string=""" + =goal> + isa playgame + game memory + activity presskey + key =k + ==> + +manual> + isa _manual + cmd press_key + key =k + =goal> + isa playgame + activity attend""", + ) + + playing_memory.productionstring( + name="attendobject", + string=""" + =goal> + isa playgame + game memory + activity attend + =visual_location> + isa _visuallocation + ?manual> + state free + ==> + =goal> + isa playgame + activity storeobject + +visual> + isa _visual + cmd move_attention + screen_pos =visual_location""", + ) + + playing_memory.productionstring( + name="storeobject", + string=""" + =goal> + isa playgame + game memory + activity storeobject + =visual> + isa _visual + value =v + ==> + =goal> + isa playgame + activity None + object =v""", + ) + + simulation = playing_memory.simulation( + gui=False, + environment_process=environment.environment_process, + stimuli=memory, + triggers="1", + ) + simulation.run(max_time=2) + + print(goal) + print(playing_memory.decmem) + + +def memory_memory_loop(): + environment = actr.Environment() + playing_memory = actr.ACTRModel(environment=environment) + + goal = playing_memory.set_goal("goal") + actr.chunktype("playgame", "game, activity, key, object") + initial_chunk = actr.makechunk(typename="playgame", game="memory", key="1") + + memory = [{}] + [{i: {"text": i, "position": (100, 100)}} for i in "BCDEFGHDIJ"] + goal.add(initial_chunk) + + playing_memory.productionstring( + name="startplaying", + string=""" + =goal> + isa playgame + game memory + activity None + object None + ==> + =goal> + isa playgame + activity presskey""", + ) + + playing_memory.productionstring( + name="continueplaying", + string=""" + =goal> + isa playgame + game memory + activity None + object ~None + ==> + =goal> + isa playgame + game memory + activity recall""", + ) + + playing_memory.productionstring( + name="recallvalue", + string=""" + =goal> + isa playgame + game memory + activity recall + object =val + ==> + =goal> + isa playgame + game memory + activity checkrecalled + +retrieval> + isa playgame + object =val""", + ) + + playing_memory.productionstring( + name="recallsuccessful", + string=""" + =goal> + isa playgame + game memory + activity checkrecalled + object =val + ?retrieval> + buffer full + =retrieval> + isa playgame + key =k + ==> + =goal> + isa playgame + key =k + activity done""", + ) + + for i in range(1, 9): + playing_memory.productionstring( + name="recallfailed" + str(i), + string=""" + =goal> + isa playgame + game memory + activity checkrecalled + key """ + + str(i) + + """ + object =val + ?retrieval> + state error + ==> + ~goal> + +goal> + isa playgame + game memory + activity presskey + key """ + + str((i + 1) % 10), + ) + + playing_memory.productionstring( + name="recallfailed9", + string=""" + =goal> + isa playgame + game memory + activity checkrecalled + key 0 + object =val + ?retrieval> + state error + ==> + ~goal>""", + ) + + playing_memory.productionstring( + name="presskey", + string=""" + =goal> + isa playgame + game memory + activity presskey + key =k + ==> + +manual> + isa _manual + cmd press_key + key =k + =goal> + isa playgame + activity attend""", + ) + + playing_memory.productionstring( + name="attendobject", + string=""" + =goal> + isa playgame + game memory + activity attend + =visual_location> + isa _visuallocation + ?manual> + state free + ==> + =goal> + isa playgame + activity storeobject + +visual> + isa _visual + cmd move_attention + screen_pos =visual_location""", + ) + + playing_memory.productionstring( + name="storeobject", + string=""" + =goal> + isa playgame + game memory + activity storeobject + =visual> + isa _visual + value =v + ==> + =goal> + isa playgame + activity None + object =v""", + ) + playing_memory.model_parameters["subsymbolic"] = True + + goal.add(initial_chunk) + # playing_memory.retrieval.pop() + # for i in playing_memory.decmem.copy(): + # playing_memory.decmem.pop(i) + simulation = playing_memory.simulation( + gui=False, + environment_process=environment.environment_process, + stimuli=memory, + triggers=[str(i % 10) for i in range(1, 11)] + ["0"], + ) + + while True: + simulation.step() + if simulation.current_event.action == "RULE FIRED: recallsuccessful": + break + if simulation.show_time() > 10: + print("Nothing found, breaking") + break + + print(goal) + print(simulation.show_time()) + print(playing_memory.decmem) + + +memory_memory_loop() |