In Science, One Learns The

Each Practitioner Thinks There's One Magic Way To Get A Machine To Be Smart, And So They're All Wasting Their Time In A Sense. On The Other Hand, Each Of Them Is Improving Some Particular Method, So Maybe Someday In The Near Future, Or Maybe It's Two Generations Away, Someone Else Will Come Around And Say, "let's Put All These Together," And Then It Will Be Smart.

Theorems Often Tell Us Complex Truths About The Simple Things, But Only Rarely Tell Us Simple Truths About The Complex Ones. To Believe Otherwise Is Wishful Thinking Or "mathematics Envy."

It Would Be As Useless To Perceive How Things 'actually Look' As It Would Be To Watch The Random Dots On Untuned Television Screens.

We Wanted To Solve Robot Problems And Needed Some Vision, Action, Reasoning, Planning, And So Forth. We Even Used Some Structural Learning, Such As Was Being Explored By Patrick Winston.

This Is A Tricky Domain Because, Unlike Simple Arithmetic, To Solve A Calculus Problem - And In Particular To Perform Integration - You Have To Be Smart About Which Integration Technique Should Be Used: Integration By Partial Fractions, Integration By Parts, And So On.