| 
|
QuoteRef: bongM_1967
topics >
all references >
ThesaHelp:
references a-b
Topic:
classification
Topic:
people vs. computers
Topic:
artificial neuron nets
Topic:
limitations of artificial intelligence and cognitive science
Topic:
philosophy of mind
Group:
natural language
Topic:
problem of assigning names
Topic:
intelligent machines
Topic:
problem of classifying information
Topic:
recognition
Reference
Bongard, M., Problema Uznavaniya, Moscow, Russia, Nauka Press, 1967. Google
Other Reference
Hawkins, J.K. (ed), Cheron, T. (translator), Pattern Recognition, New York: Spartan Books, 1970
132 ;;Quote: a Perceptron classifies all images with one language; e.g., A is stimulated more frequently by the 2nd class
132+;;Quote: a Perceptron has no notion of irrelevant objects or trash; only uncertainty
132 ;;Quote: people distinguish classes via short descriptions; using language specific to those classes; brevity is achieved without lose of information
196 ;;Quote: the accumulated knowledge of mankind will be used to create thinking machines that improve themselves
213 ;;Quote: examples of Bongard patterns; each with a short description; e.g., 3 parts vs. 5 parts
213 ;;Quote: the same words may have different meanings when describing a class; a serious difficulty for recognition programs
213+;;Quote: use Bongard patterns to test more complex, recognition programs
ThesaHelp: references a-b (396 items)
Topic: classification (65 items)
Topic: people vs. computers (55 items)
Topic: artificial neuron nets (29 items)
Topic: limitations of artificial intelligence and cognitive science (64 items)
Topic: philosophy of mind (78 items)
Group: natural language (16 topics, 539 quotes)
Topic: problem of assigning names (25 items)
Topic: intelligent machines (28 items)
Topic: problem of classifying information (42 items)
Topic: recognition (50 items)