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--- public:t-720-atai:atai-20:thecourse [2020/08/16 14:30] – [Course Overview] thorisson
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 [[/public:t-720-atai:atai-20:lecture_notes|Links to Lecture Notes]]
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 ====Course Overview====
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 ====What this Course Is / Is not ====
-|  Intelligence  | This course is about phenomenon we refer to as "intelligence". A number of features of natural intelligence remain unexplained.  |
+|  Intelligence  | **This course is about phenomenon we refer to as "intelligence".** \\ A number of features of natural intelligence remain unexplained.  |
-|  AGI  | A number of terms have been used to refer to the various aspects that people study wrt intelligence. We use the term "artificial general intelligence" in the most general sense (no pun intended), to refer to the various aspects of intelligence that allows it to deal with variety, incompleteness, and incremental information gathering.  |
+|  GMI / AGI  | A number of terms have been used to refer to the various aspects that people study wrt intelligence. We use the terms "general machine intelligence" (GMI) and "artificial general intelligence" in (AGI) their most general sense (no pun intended), to refer to the various aspects of intelligence that allow an agent to deal with variety, incompleteness, and incremental information gathering.  |
-|  Advanced topics  | The main focus of course is //not// the latest and greatest methods to come out of the field called "AI". However, we will make some references to such methods along the way, and you may even learn something about them. But that is not what is meant by "advanced". |
+|  Advanced topics  | The main focus of course is //not// the latest and greatest methods to come out of the field called "AI". \\ However, we will make some references to such methods along the way, and you may even learn something about them. But that is not what is meant by "advanced". |
-|  What does "advanced" mean here?  | It refers to advancement toward a deeper understanding of the phenomenon of intelligence.  |
+|  Then what does "advanced" refer to here?  | \\ It refers to advancement toward a deeper understanding of the phenomenon of intelligence.  |
 |  History  | The phenomenon of intelligence has been studied for ages. Some of the early notable contributions were the Greek philosophers' musings on reasoning and logic. This is not a history course, but we must make some references to the history of philosophy, AI, cybernetics and computer science along the way.  |
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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 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.  |
+|  Learning   | Acquisition of knowledge that enables more successful completion of tasks.  |
+|  Life-long learning   | Incremental acquisition of knowledge throughout a (non-trivially long) lifetime.  |
+|  Transfer learning   | The ability to transfer what has been learned in one task to another.  |
+|  Autonomy   | The ability to do tasks without interference / help from others.  |
+|  Constructionist AI   | Methodology that relies heavily on human coding for building intelligent systems.  |
+|  Constructivist AI   | Methodology that relies on systems acquiring their own knowledge.  |
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+(c)K.R.Thórisson  \\