The more concrete the knowledge, the greater the context sensitivity. The more abstract the knowledge, the less the context sensitivity.
I've been thinking about knowledge representation lately, as it features in much of my list of possible research topics. I've also thought about context sensitivity off and on for a while. The idea for the hypothesis came from the fact that knowledge representations that are more 'complete' are the more abstract. I say more complete in that they can 'reason' more easily, but don't represent the world as well. The more detailed the knowledge representation, the better it represents the world (and the larger it is), but it's not able to reason as well or as quickly.
It makes me wonder how the brain is able to hold so much, yet we are (usually) able to come to a conclusion fairly quickly. Do we start from an abstracted version of the problem and then work our way through the relavant details(context!) until we reach a useful conclusion?
Now we end up in the domain of problem solving. This is what I prefer the term 'knowledge representation and problem solving' to 'knowledge representation and reasoning'.
I'm going to read up on knowledge representation more, and context sensitivity, and see where it leads me.