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I generally describe the problem as: knowledge is nodes in a graph, wisdom is making connections between nodes in that graph. Framing curiosity and smartness u

by setr 5y ago

I generally describe the problem as: knowledge is nodes in a graph, wisdom is making connections between nodes in that graph. Framing curiosity and smartness under that model: curiosity is your ability to add nodes, smart is your ability to make connections. That is, curiosity produces knowledge, and smartness produces wisdom.

riversflow 5y ago
Graph nodes are an excellent framework for thinking about what constitutes intelligence, thanks for sharing. I really don't like the term "smart" because it is vague, anecdotally it typically means memory, but it can also relate a high level of creativity and problem solving ability as well. All of which I feel are aspects of an intellect. The main vectors I see for general intelligence as I see it are: memory/knowledge - here relating the number of nodes held on the graph curiosity/learning - the rate at which nodes are added to the graph abstraction/understanding - the ability to distill knowledge, almost like a hash map, but I think an ML model of some subset of nodes is a more accurate (but kinda cheating)approximation. critical thinking - the window size with which you attempt to traverse the graph creativity/problem-solving - the ability to formulate rules for a novel traversal of the graph logic/reasoning - the ability to traverse the graph in an efficient manner and give the right output astuteness - the ability to recognize nodes that don't belong or are missing on the traversal self-awareness - indexing the contents of your graph and relating it to all possible nodes, also your understanding of what all possible nodes represents. Then there are higher level abstractions, wisdom is the confluence of a high level of understanding, critical thinking, reasoning, astuteness and self-awareness. Smarts is some impressive combination of knowledge, critical thinking, problem-solving and reasoning. Fun stuff!
- dgb23 5y ago
  Critical thinking and abstraction seem to be related at least in informal systems. There, choosing the scope, or window is highly related to choosing abstractions. You almost always cut off edges (AKA make assumptions) knowingly or not.

by setr 5y ago

riversflow 5y ago

Graph nodes are an excellent framework for thinking about what constitutes intelligence, thanks for sharing. I really don't like the term "smart" because it is vague, anecdotally it typically means memory, but it can also relate a high level of creativity and problem solving ability as well. All of which I feel are aspects of an intellect. The main vectors I see for general intelligence as I see it are: memory/knowledge - here relating the number of nodes held on the graph curiosity/learning - the rate at which nodes are added to the graph abstraction/understanding - the ability to distill knowledge, almost like a hash map, but I think an ML model of some subset of nodes is a more accurate (but kinda cheating)approximation. critical thinking - the window size with which you attempt to traverse the graph creativity/problem-solving - the ability to formulate rules for a novel traversal of the graph logic/reasoning - the ability to traverse the graph in an efficient manner and give the right output astuteness - the ability to recognize nodes that don't belong or are missing on the traversal self-awareness - indexing the contents of your graph and relating it to all possible nodes, also your understanding of what all possible nodes represents. Then there are higher level abstractions, wisdom is the confluence of a high level of understanding, critical thinking, reasoning, astuteness and self-awareness. Smarts is some impressive combination of knowledge, critical thinking, problem-solving and reasoning. Fun stuff!

dgb23 5y ago
Critical thinking and abstraction seem to be related at least in informal systems. There, choosing the scope, or window is highly related to choosing abstractions. You almost always cut off edges (AKA make assumptions) knowingly or not.