Learning complex combinations of operations in a hybrid architecture
The reasons why machine learning appears limited to relatively simple control problems are analyzed. A primary issue is that any condition detected by a learning system acquires multiple behavioural meanings. As learning continues, the need to preserve these meanings severely constrains the architectural form of the system. A hybrid architecture called the recommendation architecture in which the preservation of such meanings is explicitly managed is compared with a wide range of alternative...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2004 IEEE International Conference on Fuzzy Systems|
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