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--- public:t-713-mers:mers-25:task_theory [2025/08/26 13:40] – [Discussion Prompts] leonard
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-==== Discussion Prompts ====
-|  Question  | Observer Angle  | Agent Angle  |
-|  How is a "task" different from a "problem" in classical AI?  | Problem = symbolic puzzle; Task = measurable transformation in a world | Must act in the world to achieve it |
-|  Why must tasks be agent-independent?  | To compare systems systematically | Otherwise evaluation collapses into “how this agent did” |
-|  Can you think of a task with low intricacy but high difficulty for humans?  | Observer: low variable count | Agent: limited memory/attention makes it hard (e.g., memorizing 200 digits) |
-|  What role does causality play in defining tasks?  | Observer: rules F define dynamics | Agent: must infer/approximate causal relations from data |
-|  How does a variable-task simulator (like SAGE) help ERS?  | Observer: controls task parameters systematically | Agent: experiences wide range of tasks, supports empirical generality tests |