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--- public:t-719-nxai:nxai-25:main:thecourse [2025/04/14 09:47] – [Course Overview] thorisson
+++ public:t-719-nxai:nxai-25:main:thecourse [2025/04/14 09:54] (current) – [What this Course Is / Is not] thorisson
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 ====What this Course Is / Is not ====
+|  Terminology  | **Terms used in this course are usually taken in their most //general// sense, unless otherwise noted.** \\ Terms in AI are regularly morphed and redefined to mean something different than their typical meaning when encountered in general discourse. One example is "attention" -- a term that people use all the time but means something **very** different in the context of humans than in the context of ANN-based systems. The reasons for such term re-definitions are numerous. Here it should be noted that, since we are talking about the natural phenomenon of //intelligence//, when we use terms like "attention", "reasoning", "knowledge" and the like, we are most often talking about the intuitive term that typically would be meant if the words were used in general conversations in general discourse (e.g. between family members, friends, etc.).    |
 |  \\ Intelligence  | **This course is about a phenomenon we often refer to as "intelligence".** \\ A number of features of natural intelligence remain unexplained. Like the focus of any good scientist should reflect, it is the //unexplained// and //ill-understood// aspects of this phenomenon that is our key focus here.  |
 |  \\ 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" (AGI), in their most general sense (no pun intended), to refer to the various aspects of intelligence that allow an agent to deal with //variety, information incompleteness, and incremental information gathering and modeling//.  |