Matthias,

You only need emotions when you're dealing with problems that are problematic, ill-structured, and involving potentially infinite reasoning. (Chess qualifies as that for a human being, not for a program).

When dealing with such problems, you continually have to reevaluate your goals - their rewards, risks and costs - which you do primarily, in the first instance, in the shape of emotions. You have to do this because you "don't know what you're getting into", on the one hand, and emotions provide a shorthand method of comparing all these factors.

Of course, I'm talking exclusively about humans - and other animals.

I'm not aware, offhand, of any AGI's that do deal with problematic problems. Are you? And what problems?


Von: Mike Tintner [mailto:[EMAIL PROTECTED] wrote

Well, clearly you do need emotions, continually evaluating the
worthwhileness of your current activity and its goals/ risks and costs - as
set against the other goals of your psychoeconomy.

And while your and my emotions may have differences, they also have an
amazing amount in common, in terms of their elements.
<<<<<<<<<<

Consider chess. The domain of a chess program is quite simple. But there is
a goal set, states, actions and decisions and interaction with an
environment.

Clearly a good human chess player has emotions while playing chess.
Does a chess program has emotions?

The behavior is human like. Even the chess player Kasparov has difficulties
to decide whether
the moves of an unknown good player are from a computer or a very good human
being. So chess programs behave now like very top chess players. There are
no more silly faults from which we can recognize a chess program.

But most people say, that the computer has no emotions while playing chess.

You can not prove the existence of emotion by the pairs of input and output.
(black box view)

Emotion must be a white box phenomenon.
Is goal seeking and evaluating nodes in a search tree a sufficient condition
for emotion? We could define it in such way. But most people would say no.





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