In General, We’re Least Aware Of What

It Makes No Sense To Seek A Single Best Way To Represent Knowledge-because Each Particular Form Of Expression Also Brings Its Particular Limitations. For Example, Logic-based Systems Are Very Precise, But They Make It Hard To Do Reasoning With Analogies. Similarly, Statistical Systems Are Useful For Making Predictions, But Do Not Serve Well To Represent The Reasons Why Those Predictions Are Sometimes Correct.

A Computer Is Like A Violin. You Can Imagine A Novice Trying first A Phonograph And Then A Violin. The Latter, He Says, Sounds Terrible. That Is The Argument We Have Heard From Our Humanists And Most Of Our Computer Scientists. Computer Programs Are Good, They Say, For Particular Purposes, But They Aren’t flexible. Neither Is A Violin, Or A Typewriter, Until You Learn How To Use It.

Speed Is What Distinguishes Intelligence. No Bird Discovers How To Fly: Evolution Used A Trillion Bird-years To 'discover' That – Where Merely Hundreds Of Person-years Sufficed.

The Principal Activities Of Brains Are Making Changes In Themselves.

When David Marr At Mit Moved Into Computer Vision, He Generated A Lot Of Excitement, But He Hit Up Against The Problem Of Knowledge Representation; He Had No Good Representations For Knowledge In His Vision Systems.