Hardness of Learning in Rich Environments and Some Consequences for Financial Markets
This paper examines the computational feasibility of the standard model of learning in economic theory. It is shown that the information update technique at the heart of this model is impossible to compute in all but the simplest scenarios. Specifically, using tools from theoretical machine learning...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Machine Learning and Knowledge Extraction |
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| Online Access: | https://www.mdpi.com/2504-4990/3/2/24 |