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what are the scientific constraint with evolution?
posted on 11/27/2005 1:49 PM by Totally unconventional
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Whether designing telephone switches, altering microbes to adapt them to different functions, or building the better robot Evolution is unleashed.
You want to start a new science just a evolutionary to the title. Evolutionary biology, medicine, etc.
But what do you think are the limits to this system?
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Re: what are the scientific constraint with evolution?
posted on 11/27/2005 3:40 PM by Thomas Kristan
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Even if they are ... if the evolution algorithm is not omnipotent, so to speak ... something better might evolve. Dont you think so?

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Re: what are the scientific constraint with evolution?
posted on 11/27/2005 3:52 PM by Totally unconventional
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nope
cute joke though
chris
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Re: what are the scientific constraint with evolution?
posted on 11/27/2005 4:04 PM by Thomas Kristan
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So, our (evolved) intelligence isn't any better?

Or what are you saying?
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Re: what are the scientific constraint with evolution?
posted on 11/27/2005 5:51 PM by Extropia
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I guess once we achieve Type III civillisation status and can trigger the birth of new universes, thereby ensuring our life-friendly cosmos has a selective advantage over lifeless universes, evolution won't get much more grand than that.
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Re: what are the scientific constraint with evolution?
posted on 11/27/2005 10:06 PM by eldras
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A great vision Extropia.

Also,the question about whether there is a limit to evolutionary processes in machine intelligence is crucial.

i think we have to start by defining it.

What is evolution?

The surival of the thing that best fits the conditions prevailing in the environment environment?

but there is also the starting point to consider.

If we get that s=wrong in GA's the system goes 'PHUT!'

I'm trying a new way in computing algorithms, & am going to university soon to be able to use their systems. I begin in 6 weeks.

I want to see if the results on supercomputers (via grid access) correspopnd to what i think ought to be achiveable.

Just found out that Adleman is a firnd of a friends which could be useful (invented genetic algorithms).

this is one of the best pages on algorithms:

http://timeline-of-algorithms.ask.dyndns.dk/

The process of A.I. evolution is extrordinary.

I first heard of it in 1972, though i thought the attempts were to reproduce life in tanks.

the real trick is to intervene at crucial stages of developments of evolution...eg parting the red sea so that your chosen algorithms are assured a afe passage to develop superintelligence, and knock out the algorithms wearing swastika, perhaps by introducing americans, so you can be sure to produce a healthy and resilliant straign.

Drawin's & his contemporaries'work is profoundly important.

My concern is as ever the dangers of runaway mutations that CAN leap from a computer system into the world.

the answer to your question for me is to assume that post sinmgularity will occur, and you cannot make predictions beyond that.
It's imperative to read Ray's book, even if you only do the first 4 chapters, because he explains the relevance of work in progress and trend forcasts based on empirical stuff and not nice guesses.

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Re: what are the scientific constraint with evolution?
posted on 11/28/2005 8:56 AM by Extropia
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I think, though, that the limits of physics place some constraint on what SAI can do. Examples:

They may control hurricanes but will not be able to produce one with winds in excess of 210 MPH on Earth, since you can only acquire so much energy from the sea.

The maximum computational power for a 1-liter, 1 kilogram laptop is 10^51 operations per second.

The minimum number of protein-coding genes for life is 265.

The minimum delay of a signal sent via geosynchronus satellite is 0.24 seconds (the time it takes light to travel 22,300 miles up and down again.

The maximum information over optical fiber, 100 terabuts per second. Higher power levels smash signals together.

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Re: what are the scientific constraints with evolution?
posted on 11/28/2005 5:21 PM by Totally unconventional
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what about when optimizing? This is a chaotic universe and there are a lot of steady states equilibria
when you try to design an algorithm to evolve it can reach a sort of smal peak and from that summit all directions are down so the evolution stops. The may be an everest not that far away but from the mini peak all road go down.
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