Bot World Model 220220.py

# Basic Autonomous Rover Cognitive Architecture (BARCA)
# (Simple) World Model Test (Beta 0.01)
# www.revelation3.com

# insert 3 entries into the brain's "world model" memory component
# indicating what's been detected by Bot
# index (for ordering purposes), substance detected & timestamp

# setup SWI-Prolog to Python interface

from pyswip import Prolog
prolog = Prolog()

# declare what's been detected and when in a list (for testing)
# generated by Bot's sensors in the Real World!

detected = ["'METAL','2027'", "'GAS','2028'", "'METAL','2029'", "'GAMMA','2033'", "'SMOKE', '2045'"]

# add the above list to the prolog world model plus the software generated index

index = 1
for x in detected:
    prolog.assertz("brain(world_model(memory(detect(" + "'" + str(index) + "'," + str(x) + "))))")
    index = index + 1

# retrieve the detection list & index from the prolog world model memory & print

print("\n", "World Model Memory of Detection")
print("\n", "Index", "\t", "Substance", "\t", "Time")
print("-----", "\t", "---------", "\t", "----", "\n")
for goal in prolog.query("brain(world_model(memory(detect(Index, Substance, Timestamp))))"):
    print(goal["Index"], "\t", goal["Substance"], "\t\t", goal["Timestamp"])

# retrieve just the detected metal & print

print("\n", "World Model Memory of METAL Detection")
print("\n", "Index", "\t", "Time")
print("-----", "\t", "----", "\n")
for goal in prolog.query("brain(world_model(memory(detect(Index, 'METAL', Timestamp))))"):
    print(goal["Index"], "\t", goal["Timestamp"])