Artificial Psychology book

I've just finished taking a look at the book that my supervisor lend me: Artificial Psychology by Jay Friedenberg.
I can just say, it's Super Awesome, it's one of the most interesting books I've ever seen.
It discussed different topics in cognitive science such as learning, intelligence, consciousness, creativity, emotions and many other things then talked about possible ways of modeling and also previous and ongoing work in these fields. It just give the general ideas, so it's much easier to read and more fun.

Thanks Jay.
Thanks Todd.

Mark Changizi TED talk about illusions

Interesting! His idea: Our brain predict everything a small proportion of a second in advance, That's why we see illusions.

Happy Nowruz, Iranian New Year

HAPPY NEW YEAR ;)

Blue Brain Project and the 1.3 billion dollar

Now, it's  a while, that my love, the Blue Brain Project has got 1.3 billion dollars from the European Commission to finish it's work:

A very detailed simulation of human brain, a model that is hoped to work near to our brains. A new intelligent creature!!!

Markram, the head of the project, now seems has everything, money, supercomputers, good team, attention from the media and in short, what he needs. But for sure it needs extreme efforts to  get finished in the proposed  year, 10 years later.

I'm impationtly waiting to see their success whitin 10 years. Luck with you guys.

For more information about this project just check their official page that now  almost after being billioner changed to Human Brain Porject. ;)

Parametrized Complexity and Cognitive Science and Everything

Parametrized Computational Complexity, Who is this guy? a good guy or a bad guy,Let's see.

In Classic Computational Complexity, we say this algorithm is in NP, so kick it out. It's rubbish.

But Parametrized Computational Complexity says:

keep calm classic! The algorithm maybe is in NP but it's nature is p some damn parameters made it NP. So we can control these bad parameters(source of intractability), keeping them small and have a nice p algorithm.

The cognitive models I talked about in last post and I said they are considered rubbish, they may be acceptable by parametrized Complexity. The FPT(Fixed parameter Tractable) which hopefully I'll talk about in next posts is a tool for checking tractability in the view of parametrized Computational Complexity.

Hope to see you soon guys ;)

Computational Intractibility, The wet blanket!

Up to know, psychologists has introduced so many cognitive models, models that explain how our mind works.
BUT
What if our mind is just a Turing Machine, then are these models will work on our brain or maybe they are just some imaginations, and our brain never will be able to run them.

Oh, no, in this case all these models are just a rubbish?  Poor the ones who put a lot of effort on a model without checking its computational tractibiliy first.

Even if our brain is not a Turing machine and be superiour to it, still we need to check the tractibility of all models, because AI may need and can implement these models some day. And at least we know AI is on Turing Machines.

SO LET'S GO TOWARD CHECKING COMPUTATTIONAL TRACTIBILITY OF COGNITIVE MODELS, AND REJECT SOME FAMOUS COGNITIVE MODELS!!!

I'll post more about this issue, Have fun  ;)