| Both sides previous revisionPrevious revisionNext revision | Previous revision |
| public:t-720-atai:atai-19:lecture_notes_w3 [2019/09/06 10:03] – [Task-Environments: Key Concepts] thorisson | public:t-720-atai:atai-19:lecture_notes_w3 [2024/04/29 13:33] (current) – external edit 127.0.0.1 |
|---|
| \\ | \\ |
| \\ | \\ |
| ====What Kind of Worlds shold AGI systems handle?==== | ====What Kind of Worlds should AGI systems handle?==== |
| | Novelty | Novelty is encountered by controllers in Worlds where the World is vastly larger in variety than the controller can store in a lookup table. Interaction between Environmental elements (subsets of <m>V_E</m>) produces phenomena of a different //**kind**// than the elements that interact. | | | Novelty | Novelty is encountered by controllers in Worlds where the World is vastly larger in variety than the controller can store in a lookup table. Interaction between Environmental elements (subsets of <m>V_E</m>) produces phenomena of a different //**kind**// than the elements that interact. | |
| | Balance | The Worlds we are interested in strike a balance between completely dynamic and completely static. \\ They also strike a balance between completely deterministic and completely random; some regularity must exist at a level that is observable initially by a learning agent. | | | Balance | The Worlds we are interested in strike a balance between completely dynamic and completely static. \\ They also strike a balance between completely deterministic and completely random; some regularity must exist at a level that is observable initially by a learning agent. | |
| \\ | \\ |
| \\ | \\ |
| ====What Kind of Task-Environments do AGI sysetms target?==== | ====What Kind of Task-Environments do AGI Systems Target?==== |
| | Environment | Large number of potentially relevant variables. | | | Worlds | Complex, intricate worlds, large number of variables (relative to the system's CPU and memory). \\ Complexity lies somewhere between randomness and regularity. \\ Many levels of temporal and spatial detail. \\ Ultimately, any system worthy of being called "AGI" must be successful operation in the physical world. | |
| | Task | Ditto. | | | Environments | Somewhere between random and static. Dynamic; large number of variables (relative to the system's CPU and memory capacity). \\ Many levels of temporal and spatial detail. | |
| | Solutions | Medium number. | | | Tasks | Dynamic; large number of variables (relative to the system's CPU and memory capacity). \\Underspecified. | |
| | Instructions | Optionally. | | | Goals | Multiple goals can easily be specified. | |
| | | Solutions | New solutions can be found. | |
| \\ | \\ |
| \\ | \\ |
| |
| |
| ====How it Hangs Together: Worlds, Environments, Tasks, Goals==== | ====How it Hangs Together: Worlds, Environments, Tasks, Goals==== |
