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Section 3 / Page 68

Artificial Intelligence And Itís Relation To The Database network: -

One of the biggest challenges A.I. researchers have, is giving any A.I. system enough real world data and processing power to actually give it, as they say, the big picture. But using the proposed database network, then the MNN should have had access to all of the data and processing power that it could ever have possibly needed. As the MNN was principally designed as having many end users interacting with it and in real time and all set within totally real looking environments, whilst using voice control, this should have allowed it to learn from all of that data, along with any and all of those interactions. Just as human beings learn everything they know from observation, interaction and comparison, so can an A.I. system. The ability to visualise or internally model our relationship to our environment, is a key ingredient to human intelligence which I believe also applies to computer intelligence.

A good example of this, at one time most humans believed that the Earth was at the centre of the Universe, but after long and careful observation by Galileo, he realised and then adjusted his mental model of how the Universe looked and now we all share that same model. Working on a similar principal, if you give a machine the right sort of programming and enough real world information, plus enough internalised models and processing power, then it too should also come to realise where it is and possibly, what it is.

E.g. Just like humans, an A.I. system may also be capable of creating its own internal VR picture of what it is and where it is. The average human thinks theyíre pretty clever because they can usually paint an internal mental picture of where they are.

I.e. I am standing or sitting in a room / inside / outside somewhere on the planet Earth, the planet Earth is in a solar system with 9 or is it 10 planets, circling around the Sun, which is just a star and that star is in the Milky Way galaxy. This is just one of billions of galaxies, all of these galaxies put together go to make up this incredibly big Universe and Iím somewhere in it. In a similar way there is no reason to think that an A.I. system, given enough memory, data and processing power couldnít model itself and its relative relationship to its environment, so giving it a similar type of relative awareness, just like humans, (a conceptualized view). If machines ever do attain self perception, then God help us.

The average human does not know or understand the workings or mechanisms employed by their own brains, but intelligent behaviour does arise even without this understanding, this being a major problem for experts who are continuously trying to pin down what makes us all intelligent. The proposed simulated macroscopic neural network, may not (at least at first) understand how its own mechanisms work, but intelligent behaviour may still emerge (it does in some humans - think about that).

The type of network being described, would normally be far too expensive to develop, but using the proposed franchised database concept, it should have actually payed for itself whilst making a huge profit in the process. Billions of pounds a year are poured into A.I. research, these people could be asking themselves why they bothered if a system like this was built. The network was to have made a huge profit at each individual step in its march towards this ultimate goal: - The possibility of building a controllable self aware A.I. System, self-aware and controllable A.I. will be priceless to whoever gets it first. On the other hand uncontrolled self aware A.I., is a nightmare waiting to happen, see section 4, (the Matrix or Terminator etc).

If consciousness can be described, as just the real time processing of relevant data, or the application of enough concepts in real-time, then a powerful enough grid system organised in the right way and given the right type of data, maybe capable of becoming self aware or at least, very useful.

Grid systems will become increasingly capable as the net appliances connected become more capable. In this way, the MNN's owners were seen as increasingly profiting from the introduction of all these new hardware devices, without the expense of developing them.

One way Humans learn, is by observing their own interactions and how those interactions affect the real world, the A.I. characters could also learn in much the same way within their virtual worlds. Computer games manufacturers have reported, that some of their computer controlled A.I. personalities or characters, have shown behaviour that was learnt through their interactions with other characters / users and environments. This behaviour was not rigidly scripted, but definitely learnt through interaction and observation, by the A.I. software controlling those characters. The scaling up of some of these A.I. principals was seen as allowing very sophisticated A.I. controlled avatars to be used within the MNN. (Also see Game Engines).

These A.I. programs could also be given the ability to learn social behaviour by watching all the interactions that would be going on between all of the people who were interacting online, and so learn social behaviour in a similar way to humans. People learn via observation, interaction, sight, sound and a lot of the time by sharing the same mental model of how the world looks and works. Here is a perfect example, At one time in history, every human believed the Earth was flat, because people believed what they saw, which in this case, was a flat Earth. This gave rise to everybody having the same internalised mental picture of how the world looked. Now as we all know the Earth is not flat, and so would the proposed A.I. system once given enough examples. You have to question how you know anything for sure, before you can pass judgment on how a silicon-based intelligence may also know anything.

Ha fooled some of you, the believe that everybody used to think the Earth was flat is actually a myth created in the 19th century as I said, you do have to question how you know anything for sure, before you can pass judgment on any potential intelligence that maybe created?

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