An Architecture for Adaptive Intelligent Systems

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Citation: Barbara Hayes-Roth. (1995) An Architecture for Adaptive Intelligent Systems. In KSL-93-19, 1995.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Barbara Hayes-Roth
title An Architecture for Adaptive Intelligent Systems
number KSL-93-19
institution Knowledge Systems, AI Laboratory
year 1995
Bibtex more
note Updated December 1993. Also as STAN-CS-93-1496. Updated April 1995.
Access Paper
abstract Our goal is to understand and build powerful agents that function effectively in challenging niches. In particular, we identify a class of niches to be occupied by "adaptive Intelligent systems (AISs)," present a small class hierarchy of AIS niches, and our analysis with a particular niche: ICU (intensive care unit) monitoring. AIS niches are considerably more challenging than the niches occupied by typical AI agents. They require performance of diverse tasks. They provide variable resources for performing tasks. They present stressful contextual conditions. They impose conflicting performance criteria. Therefore, to function effectively in AIS niches, an agent must be highly adaptive. It must adapt its perceptual strategy to its dynamic cognitive requirements. It must adapt its control mode to uncertainty in its environment and constraints on its actions. It must adapt its reasoning tasks to demands and opportunities presented by its environment. It must adapt its reasoning methods to the available resources. It must adapt its meta-control strategy to its dynamic configuration of potential activities. We have designed and implemented an agent architecture that supports all of these different kinds of adaptation with a single underlying theoretical concept: An agent dynamically constructs explicit control plans to guide its choice among situation-triggered possible actions. The architecture has been used to build experimental agents for several AIS niches. We illustrate the architecture and its support for adaptation with examples from Guardian, an experimental agent for ICU monitoring.

KSL Technical Report ID: KSL-93-19
Facts about An Architecture for Adaptive Intelligent SystemsRDF feed
Abstract Our goal is to understand and build powerf … Our goal is to understand and build powerful agents that function effectively in challenging niches. In particular, we identify a class of niches to be occupied by "adaptive Intelligent systems (AISs)," present a small class hierarchy of AIS niches, and our analysis with a particular niche: ICU (intensive care unit) monitoring. AIS niches are considerably more challenging than the niches occupied by typical AI agents. They require performance of diverse tasks. They provide variable resources for performing tasks. They present stressful contextual conditions. They impose conflicting performance criteria. Therefore, to function effectively in AIS niches, an agent must be highly adaptive. It must adapt its perceptual strategy to its dynamic cognitive requirements. It must adapt its control mode to uncertainty in its environment and constraints on its actions. It must adapt its reasoning tasks to demands and opportunities presented by its environment. It must adapt its reasoning methods to the available resources. It must adapt its meta-control strategy to its dynamic configuration of potential activities. We have designed and implemented an agent architecture that supports all of these different kinds of adaptation with a single underlying theoretical concept: An agent dynamically constructs explicit control plans to guide its choice among situation-triggered possible actions. The architecture has been used to build experimental agents for several AIS niches. We illustrate the architecture and its support for adaptation with examples from Guardian, an experimental agent for ICU monitoring. an experimental agent for ICU monitoring.
Author Barbara Hayes-Roth  +
Bibtype techreport  +
Has author Barbara Hayes-Roth  +
Has identifier KSL-93-19  +
Has publishing details 1995  +
Has title An Architecture for Adaptive Intelligent Systems  +
Has where published KSL-93-19  +
Has year 1995  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-93-19  +
Note Updated December 1993. Also as STAN-CS-93-1496. Updated April 1995.
Number KSL-93-19  +
Process note YES  +
Title An Architecture for Adaptive Intelligent Systems  +
Year 1995  +
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