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--- public:t-713-mers:mers-24:example_questions_2024 [2024/10/30 14:38] – [Example Questions] thorisson
+++ public:t-713-mers:mers-24:example_questions_2024 [2024/10/30 14:41] (current) – [Example Questions] thorisson
@@ Line 32: / Line 32: @@
   - How does //learning through reasoning// work?
   - Is //empirical reasoning// the same as axiomatic reasoning? Why / why not?
-  - In what ways do the mechanisms of a rule-governed world, that a learning agent inhabits, affect its learning process(es)?
+  - In what ways do the //mechanisms of a rule-governed world//, inhabited by a learning agent, affect its learning process(es)? Illustrate your points with examples.
   - What is the relation between //knowledge//, //information//, //data//, and //measurement//, and how is this relevant to learning?
   - Give three examples of reasoning methods included in what has been called "ampliative" reasoning?
   - Analogies seem to be an important feature of human cognition. Describe an approach that might achieve transversal analogy making in a reasoning cognitive architecture. What are the main challenges? What are the main benefits?
-  - Pick one of these questions to answer: (a) Give three arguments why reasoning may be difficult to implement in artificial neural networks. (b) Give three arguments why induction is more difficult to implement in cognitive architectures than other reasoning types.
+  - Answer ONE of these questions: (a) Give three arguments why reasoning may be difficult to implement in artificial neural networks. (b) Give three arguments why induction is more difficult to implement in cognitive architectures than other reasoning types.