Thursday, February 12, 2015
Concepts, concept change, imagination
Many concepts are empirically grounded. Near and far might be defined for Asa by a Lego NXT ultrasonic sensor. Push and pull might be defined for Asa by a Lego NXT or Vernier force sensor. etc. etc. Other concepts are at least partially nonempirical. The concept of a unicorn, for example. Asa may have seen pictures of horses and goats. The concept of a goat will have a horn as one of its features. (A feature being a concept stored on the next lower level of the Asa H hierarchy.) Asa's various learning algorithms include things like vector interpolation, extrapolation, chaining, etc. Asa may try to combine the features of a horse with those of a goat, for example, and produce the concept of a unicorn.