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| public:t-720-atai:atai-25:thecourse [2025/01/06 17:05] – [What this Course Is / Is not] thorisson | public:t-720-atai:atai-25:thecourse [2025/01/06 19:27] (current) – [Course Overview] thorisson |
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| | ===== ATAI 2025: THE COURSE ===== |
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| ====Course Overview==== | ====Course Overview==== |
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| | Organization | The bulk of the course is built up of 5 "sprints" on 5 key topics, each covering 2 weeks. The general organization of these is such: \\ - The first week involves presentation of the sprint's topic(s), assignments, and other related things. \\ - The second week involves online discussion and Q&A related to assignments. | | | Organization | The bulk of the course is built up of 5 "sprints" on 5 key topics, each covering 2 weeks. \\ The general organization of these is such: \\ - The first week involves presentation of the sprint's topic(s), assignments, and 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. | | | Software Assignments | To enable you to get insight into some of the core principles of intelligence. | |
| | Final Project | Gives you a bit more in-depth experience in thinking about next-stage advanced AI systems. | | | Final Project | Gives you a bit more in-depth experience in thinking about next-stage advanced AI systems. | |
| ====What this Course Is / Is not ==== | ====What this Course Is / Is not ==== |
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| | Intelligence | **This course is about a phenomenon we usually 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. | | | Intelligence | **This course is about a phenomenon we usually call "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 in this course. | |
| | \\ 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, 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" (AGI), in their most general sense, to refer to the various aspects of intelligence that allow an agent to deal with //variety ("complexity"), incompleteness (data shortage), and incremental information gathering (cumulative learning)//. | |
| | \\ 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 is meant is the upcoming methods, approaches, and knowledge that the field of AI may uncover. | | | \\ 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 is meant is the upcoming methods, approaches, and knowledge that the field of AI may uncover. | |
| | Then what does "advanced" refer to here? | \\ It refers to advancement toward a deeper understanding of the phenomenon of intelligence, and how to create a machine with these. | | | Then what does "advanced" refer to in the course title? | "Advanced" refers to the advancement toward a deeper understanding of the phenomenon of intelligence, and how to create a machine with these. Which, incidentally, is the goal of the scientific pursuit of //artificial intelligence research//. | |
| | \\ 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. | | | \\ 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 along the way we must make some references to the history of AI, computer science, cybernetics, and occasionally philosophy, as needed. | |
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| | Meta-Cognition | The ability of a system to reason about itself. | | | Meta-Cognition | The ability of a system to reason about itself. | |
| | Reasoning | The application of logical rules to knowledge. | | | Reasoning | The application of logical rules to knowledge. | |
| | Learning | Acquisition of knowledge - models of experience - that enables more successful (a) completion of tasks, (b) creation of goals, subgoals and plans, (c) prediction and explanation of the world. | | | Learning | Acquisition of knowledge - models of experience - that enables more successful (a) completion of tasks, (b) creation of goals, subgoals and plans, <nowiki>(c)</nowiki> prediction and explanation of the world. | |
| | Cumulative Learning | Incremental, continual acquisition of knowledge in such a way as generally making it more useful over time. | | | Cumulative Learning | Incremental, continual acquisition of knowledge in such a way as generally making it more useful over time. | |
| | Transfer learning | The ability to transfer knowledge learned in one task to a different ask. | | | Transfer learning | The ability to transfer knowledge learned in one task to a different ask. | |
| | Autonomy | The ability to do tasks without help from a teacher (process designed to specifically help with a specific learning process). | | | Autonomy | The ability to do tasks without help from a teacher (process designed to specifically help with a specific learning process). | |
| | Constructionist AI | Methodology that relies heavily on human coding for building intelligent systems. | | | Constructionist AI | Methodology that relies heavily on human coding for building intelligent systems. \\ Assumes the system being developed operates according to //allonomic// principles, that is, does not govern itself. | |
| | Constructivist AI | Methodology that relies on systems acquiring their own knowledge. | | | Constructivist AI | Methodology that relies on systems acquiring their own knowledge. \\ Assumes //autonomic// operation of the system being developed, i.e. that it governs itself. | |
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