Multi-Method Learning

As a capability, learning is often thought of as one of the necessary conditions for intelligence in an agent. Some systems extend this requirement by including a plethora of mechanisms for learning in order to obtain as much as possible from the system, or to allow various components of their system to learn in their own ways (depending on the modularity, representation, etc., of each). Additionally, multiple methods are included in a system in order to gauge the performance of one method against that of another.

Architectures having this capability include:


Go to A List of Common Capabilities.

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Current Location: Capabilities-Multi-Method Learning