If you want an OHS that is capable of evolving within its environment, it
would seem that learning something about evolutionary computing is in
order. Doug Lenat's AM and Eurisko programs were among the first in this
breed of computing systems that caught my eye, along with John Holland's
genetic algorithms. The field of evolutionary computing is enormous.
The web site mentioned below might just offer some value to the unrev group
from two perspectives:
1- discussion on evolutionary computation itself
2- a way to organize a web site on discussion of the OHS.
Cheers
Jack
>From: "Mij Kelly" <mij@thadia.freeserve.co.uk>
>To: <genetic-programming@cs.stanford.edu>
>
>Announcing Fit for the Future - The online debate about the future of
>evolutionary computing
>
>http://evonet.dcs.napier.ac.uk/evoweb/research_consultancy/evodebates/in
>dex.html
>
>EvoNet is hosting what we hope will be a controversial, thought
>provoking and informative debate on the future of evolutionary
>computing.
>
>- Is current research rigorous enough?
>- Does the future of EC lie within soft computing?
>- What role can evolutionary algorithms play in quantum computing?
>- Is interactive evolution the next big thing?
>- What's wrong with focusing on optimization?
>
>Twenty-four researchers have already posted position statements on these
>and other questions they consider important to the future of
>evolutionary computing.
>
>You can find out what they have written, and put forward your own point
>of view at:
>http://evonet.dcs.napier.ac.uk/evoweb/research_consultancy/evodebates/in
>dex.html
>
>or follow the links from the EvoNet homepage at:
>http://evonet.dcs.napier.ac.uk/
>
>
>
>Best wishes
>Mij Kelly
>==========================
>
>Visit EvoWeb -- the online information service for anyone with an
>interest in evolutionary computing: http://evonet.dcs.napier.ac.uk
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