The number of "chunks" of knowledge mastered by an expert in a domain is approximately 100,000 for a variety of domains. These chunks represent patterns (such as faces) as well as specific knowledge. For example, a world-class chess master is estimated to have mastered about 100,000 board positions. Shakespeare used 29,000 words but close to 100,000 meanings of those words. Development of expert systems in medicine indicate that humans can master about 100,000 concepts in a domain. If we estimate that this "professional" knowledge represents as little as 1 percent of the overall pattern and knowledge store of a human, we arrive at an estimate of 10^7 chunks.
I am no expert on neural networks, but categorization is a major cognitive shortcut for some of these things. Your couch example is pretty spot on for how it works though, you have some platonic couch that you can use as a shortcut to understanding couches and couch-like objects in some fashion. I want to say that it's about as common mentally as strict binary divisions, and a lot of people mix them to get a fairly broad range of concepts from one or two base ideas.
Yeah, I was thinking about memory and realized that in a simplified model of the brain, we don't really need that many neurons dedicated to memory if we can just associate 2 to 8 of the thousands of items in our brain-database and classify that as a single memory. That has led to a model of a neural network which seems interesting to me. I'll think about it a while and if I implement it, I'll post results on my lj.
I grow more and more firmly-convinced that architecture is the key problem facing connectivist AI systems. It doesn't help that AI people are frequently great at writing grant proposals but bad at thinking. Seriously, one of my classes last year basically boiled down to "how to write a grant proposal in AI".
Looking at that first sentence of the second paragraph, it doesn't actually say anything. It's merely restating the definition of a connectivist model of AI, but connectivist models are out of vogue and it bears repeating. lol hay guyz, let's do some case-based reasoning.
Comments 10
Kurzweil
Reply
Reply
I grow more and more firmly-convinced that architecture is the key problem facing connectivist AI systems. It doesn't help that AI people are frequently great at writing grant proposals but bad at thinking. Seriously, one of my classes last year basically boiled down to "how to write a grant proposal in AI".
Reply
Reply
Reply
Leave a comment