Depending upon the environment its used in and the tasks it’s given an A.s.a. Agent typically begins learning a model of the world composed of concepts/sequences like:
near=>far, far=>near (motion)
motion=>collision (obstacle)
push
collision=>sound
light=>dark, dark=>light (day and night)
change in illumination angle
hot=>cold, cold=>hot
wind
motion=>wind
rain=>humidity
F=ma
Faction=Freaction
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