Meta-Reasoning Capability

Reasoning about reasoning, or meta-reasoning is a critical capability for agents attempting to display general intelligence. Generally intelligent agents must be capable of constantly improving skills, adapting to changes in the world, and learning new information. Meta-reasoning can be deployed implicitly through mechanisms such as domain-independent learning, or explicitly using, for example, declarative knowledge which the agent can interpret and manipulate. The domain-independent approaches seem the most successful so far.

Other aspects of meta-reasoning include the consideration of computational costs of processing, leading to the issues such as focused processing and real-time performance.

The following architectures integrate meta-reasoning capabilities:

Adaptive Intelligent Systems (AIS)
Multiple Execution Architectures(RALPH-MEA)
Plan-then-compile (THEO)
Meta-reasoning Architecture for 'X'(MAX)
Problem Space Architecture(SOAR)

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