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--- public:t-720-atai:atai-18:lecture_notes_w1 [2018/08/20 15:18] – [AI is a Broad Field] thorisson
+++ public:t-720-atai:atai-18:lecture_notes_w1 [2024/04/29 13:33] (current) – external edit 127.0.0.1
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 ====Important Concepts in This Course====
 |  Methodology  | Present methods in AI will not suffice for addressing the full scope of the phenomenon of intelligence, as see in nature.   |
-|  Attention  | The resulting state after a successful change.   |
+|  Attention  | The ability to manage resources, including computational (thought), information from the external environment, energy, and time.   |
 |  Meta-Cognition  | The ability of a system to reason about itself.  |
 |  Reasoning  | The application of logical rules to knowledge.  |
@@ Line 109: / Line 109: @@
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+==== How To Study (and not fail) ====
+**As you read papers from each of the following categories I want you ask yourself a few questions:**
+  * For each paper on a topic X, ask yourself:
+|  1  | What is X?   |
+|  2  | How does the human mind do X?  |
+|  3  | Do current computers do X?  |
+|  4  | Do we need (to replicate or capture the principles of) what the human mind does to achieve X to create a machine that rivals the ability of humans to do X?   |
+|  Result  | If you can answer them satisfactorily when you're done reading you're good! Even if you can't you'll be fine if you: Write down the discrepancies and //bring them to class in the form of questions//. There is no such thing as a 'stupid question' when you're learning something new.   |
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-(c)K. R. Thórisson
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+(c)K.R.Thórisson
-// EOF //