An Architecture for Adaptive Intelligent Systems.

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Abstract
Our goal is to understand and build comprehensive agents that function effectively in challenging niches. In particular, we identify a class of niches to be occupied by 'adaptive intelligent systems (A'Ss).' In contrast with niches occupied by typical A' agents, A'S niches present situations that vary dynamically along several key dimensions: different combinations of required tasks, different configurations of available resources, contextual conditions ranging from benign to stressful, and different performance criteria. We present a small class hierarchy of A'S niches that exhibit these dimensions of variability and describe a particular A'S niche, ICU (intensive care unit) patient monitoring, which we use for illustration throughout the paper. To function effectively throughout the range of situations presented by an MS niche, an agent must be highly adaptive. In contrast with the rather stereotypic behavior of typical A' agents, an A'S must adapt several key aspects of its behavior to its dynamic situation: its perceptual strategy, its control mode, its choices of reasoning tasks to perform, its choices of reasoning methods for performing chosen tasks; and its meta-control strategy for global coordination of all of its behavior.

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