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This article summarizes the MAX system, a meta-reasoning architecture designed to integrate the reasoning, execution, and learning required of intelligent agents. MAX is based on the idea of specifying all the reasoning and learning capabilities of a system as explicit, declarative knowledge. The mechanisms that support this, as well as the benefits and drawbacks are outlined. An example of the integrated behavior implemented in MAX is given, along with comparisons to related architectures.