OK, what's this about?

Hi,

My name is Wolfram Wagner and I work as a software engineer and technical consultant in Dresden Germany at the moment. My passion is finding solutions for custom software solutions in terms of neat architectures, design and implementation. Furthermore I am very interested in music, I play guitar, sing and think about intelligence, sociology and artificial intelligence…

So, what do I want to cover with this blog and why? What can we accomplish?

When I first heard of "soft computing" and all that stuff in course models at University I was fascinated by how simple the basic pattern of the brain seem to be. We saw pictures of neurons like the one you can see here:

source: http://users.tamuk.edu/kfjab02/Biology/AnimalPhysiology/B3408%20Systems/systems%20images/neuron.png.jpg

…and how easy it is to extract simple models from it that can actually be simulated on common computers. Enough with this, as all of you know what perceptrons and self-organising maps are (For all who don’t, please have a look at google and Wikipedia. There’s plenty of good and easy to understand stuff on the net….so I don’t want to repeat this here. BUT: Feel encouraged to read some stuff. It’s easier to understand than you’d think!)

My generally idea of things in the world is that all has simple concepts that need to be found and used to solve complicated looking things. That's why I'd like to share my thoughts thought this blog to let you know. And give you the chance to correct me and give impulses. So please feel free to drop comments! (German or English)

Why? I think it is possible to reproduce real intelligence. When we achieve this we might be able to better understand what intelligence really is. Or can we reproduce only if we know what it is? Hopefully we find out. But: I don’t want to argue on this…

We? I hope people like to follow and present their ideas and feelings about this topic. Isn’t it time to start thinking together? What could a single neuron achieve on its own? You see what I mean.

Thanks for reading. I appreciate your time.

Wolfram