# towards a definition of intelligence

So, have we done enough work that we can now make a reasonable guess at a definition of intelligence? Let's see. In my travels I have seen one definition being, an intelligent agent, given a current situation, will manipulate things so as to maximize the number of potential future states. So, if such an agent is stuck in a valley, it will climb to the top of the hill to maximize its potential pathways.

Mathematically, roughly (in a simplified 1 dimension):
```F = d/dx V(x)
```
where V(x) is the landscape, and F is the direction you want to head.

I have an alternate definition:
1) given the agents current state (as represented by some superposition) find a pathway (as represented by some operator sequence) to your desired state (again, represented by some superposition). The quicker the agent can do this, and the shorter the pathway, then the more intelligence points we give that agent. Noting that for sufficiently hard problems, most agents won't be able to find a pathway at all.
2) given an object the agent wishes to understand, how well constructed is the agents internal representation of that object. At one extreme we have rote learning, say you recall an objects definition word for word, with essentially no understanding. At the other we have a very dense network linking the object with the rest of the knowledge in the agents memory store. The denser the network, the more intelligence points we give that agent. And I suppose we should give some points for speed as well.