Everything Is Similar If You're Willing To

The Brain Happens To Be A Meat Machine.

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.

How Hard Is It To Build An Intelligent Machine? I Don't Think It's So Hard, But That's My Opinion, And I've Written Two Books On How I Think One Should Do It. The Basic Idea I Promote Is That You Mustn't Look For A Magic Bullet. You Mustn't Look For One Wonderful Way To Solve All Problems. Instead You Want To Look For 20 Or 30 Ways To Solve Different Kinds Of Problems. And To Build Some Kind Of Higher Administrative Device That Figures Out What Kind Of Problem You Have And What Method To Use.

We'll Show You That You Can Build A Mind From Many Little Parts, Each Mindless By Itself.

How Many Processes Are Going On, To Keep That Teacup Level In Your Grasp? There Must Be A Hundred Of Them.