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This material is generally ordered by specificity (both within and between headings), starting with the general topic of what intelligence is, progressing towards good old-fashioned AI (aka constructionist AI or GOFAI) and then onward towards artificial general intelligence (AGI). Within each topic the papers are ordered by importance, the most important first.
The recommended minimum number of papers to be read in each category is listed in brackets [ a,b ] after the title, where a refers to the necessary mandatory number of papers to be read, and b refers to the recommended absolute minimum number (papers are ordered from most to least important, so start counting from the top). If no number is given you should read all the papers listed. The section marked “Prerequisites” are readings on the basics: Things you should already know. If you even have the slightest reason to think that some content in these is not already under your belt (e.g. you have neither recently taken an introductory course on AI nor a single psychology or philosophy course on intelligence) you really should read them (they are a quick read, for the most part).
This means you are expected to read well over 50 papers in this course, so that comes out to at least 3-4 papers per week (5 recommended). Keep at it and you'll be fine!
Note: Assigned readings should be read before class. There is a simple reason for that: You will have some familiarity with the subject matter which not only means you will remember it better but also that you can ask questions for clarification during the lecture and partially steer its direction. Reading the papers after class is less effective. Warning: Do not attempt to read them during class - this is absolutely the worst way to cover this material (but of course you may have it open for reference). Reading the assigned readings not at all should generally be avoided.
As you read papers from each of the following categories I want you ask yourself a few questions:
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 discrepacies 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.
Related to: Methodology, Cognitive Architectures
Related to: Cognitive Architecture, Intelligence, Understanding, AI
Related to: Thought, Reasoning
Related to: Symbols, Meaning, Autonomy, Bootstrapping
Related to: Bootstrapping / Self-Programming
Related to: Cognitive Architecture, Learning
Related to: Reasoning, Learning, Bootstrapping
Related to: Thought, Cognitive Architecture, Intelligence
Related to: Cognitive Architecture, Intelligence
Related to: Resource control, Attention, Reasoning
Related to: Learning, Bootstrapping
Related to: Cognitive Architecture, Implemented AGI Systems