Rather, it’s in terms of the grasshopper (an object/physical system), it’s physiological properties (age, point in the circadian cycle, level of hunger, temperature, etc.) and its distances and exposures to the relevant stimuli, such as the topology of light and shade around it, gradients of certain attractive smells, and so on. So, under this level of coarse graining, we treat these as the “grasshopper’s properties”.
hm… how would an AI system locate these properties to begin with?
hm… how would an AI system locate these properties to begin with?