From: Olie Lamb (firstname.lastname@example.org)
Date: Mon Aug 28 2006 - 22:58:38 MDT
Why focus on any particular cognitive bias?
Please correct me if any of the following are the slightest bit controversial:
1) All human brains have many cognitive biases
2) Human brains do not use Bayesian Reasoning (nb: 2 can be derived from 1)
3) Any _really_ powerful AI needs to avoid the same cognitive-bias
pitfalls as humans
4) A really-powerful-AI shall not live by Bayes alone (or, at least, a
5) Any would-be-powerful-AI is going to utilise some other decision
theory, at least in part.
If we're all very clear and in agreement about this, why is any
particular cognitive bias excruciatingly important?
A fair understanding of human decision making processes is good for
informing AI research, but I don't see the importance on getting hung
up on any particular aspect of the human brain.
ANALOGY: Plane designers should have a basic understanding of how
birds fly, and the aerodynamics of birds' bodies. However, for
aeroplane designers to bicker over the effects of turbulence effects
between feathers is /irrelevant/ to the task of designing an
aeroplane, even a mechanical wing-flapping-aeroplane. Birds aren't
perfectly aerodynamic. They could be improved. They are a good
example of how a flying machine can work, but aren't the only one.
Yes, designing a working AI is harder than designing a plane. My
point is that aeronautical engineers were not bird-biologists even
before the wright brothers.
So, fer crying out loud, don't read too much into any particular
cognitive bias. They are significant, but I doubt that any human
extent of cognitive-bias study will tell one how to build an AI.
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