Searching for the Moon

Shannon Clark's rambles and conversations on food, geeks, San Francisco and occasionally economics


Posted by shannonclark on September 4, 2003


Very cool stuff indeed. I need to read most about the underlying algorithms where genetic programming was used to generate “human competitive” results, but this is pretty neat stuff. A lot of my own thinking about AI tends towards self-modifying programs (in essense, more in a bit), though I do have some questions about “genetic” programing – primarily how you create a “fitness test” and allow for variablity.

(think about it in terms of how do you tell whether or not the software that is being generated is “good” or “bad” – and allow for variability in the techniques and algorithms used, but in some effective manner. It is not exactly a simple issue)

Most of my AI work involves writing applications that are data driven in an almost literal way – that is, they may literally rewrite their own code (in a limited fashion) based on what they are working with – this can be somewhat confusing stuff but it also allows for highly generalizable solutions with little that is hardcoded about them. It is not a huge stretch for me to then consider where there is some way (or ways) in which I could introduce variablity into the code/test process and morph into writing “genetic algorithms” for much of the work I do (mostly text pattern recognition and data extraction/mapping)


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

%d bloggers like this: