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T-720-ATAI-2020 Main
Links to Lecture Notes

Course Overview

Organization The bulk of the course is built up of 5 topics, each covering 2 weeks. The general organization of these is such:
- The first week involves presentation of assignment and/or other related things.
- The second week involves online discussion and Q&A related to assignments.
Software Assignments To enable you to get insight into some of the core principles of intelligence.
Short Essay To allow you to delve into a topic of particular interest to you.
Final Project Gives you a bit more in-depth experience in thinking about next-stage advanced AI systems.
Final Exam To try to gauge how much of the material you actually understand – how much of it you have “ingested”.
How to get the most out of the course Read the assigned reading material! Do the assignments! Think about the content! Ask questions!



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.
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.
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.
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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