| Both sides previous revisionPrevious revisionNext revision | Previous revision |
| public:t-720-atai:atai-25:thecourse [2025/01/06 17:10] – [What this Course Is / Is not] thorisson | public:t-720-atai:atai-25:thecourse [2025/01/06 19:27] (current) – [Course Overview] thorisson |
|---|
| \\ | \\ |
| |
| | ===== ATAI 2025: THE COURSE ===== |
| | \\ |
| | \\ |
| ====Course Overview==== | ====Course Overview==== |
| |
| | 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. | |
| | 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. | |
| |
| \\ | \\ |
