Tuesday, September 15, 2009

How do we achieve Artificial Intelligence?

Artificial Intelligence, I am sure many readers are familiar with this buzzword created by research groups around the world not so long ago. Where we started dreaming about many things a machine can do that we do in our day to day life and will in turn make our life simple and easy. But what happened to most of those projects, they are either shelved or have very limited usability in our day-to-day life. Though there are few outcomes that we did find useful.

When I read about the artificial intelligence and where it went wrong, I ask a question as what went wrong? Where did it all go wrong?

Lets define the intelligence. The intelligence is art of making best choices based on what we know (or rather don't know). But what determines whether we know something or not. It is our ability to recall something we learnt in past. Learning is associating facts to a context. Context define how the entities are being linked together. The linking does not have to be static.

So in a nutshell, in order to build a system that can:
  • Understand the context in which a particular fact is stated.
  • Retrieve the most appropriate rule that can be applied to the available facts i.e. show some sort of intelligent behavior.
  • The retrieve operation depends on how the raw data is structured.

In my opinion it all comes down to how the data is structured (represented) and the reasoning mechanism that works on the data.

Until Next Time..

1 comments:

Simon Raboczi said...

Artificial intelligence continues to be very successful, as long as you call it something else. Whether it's chess, keyword searches or spam filters, there are lots of fields in which machines think better than we do. It's not magic when you know how it's done.