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Architecture for Adaptive Intelligent SystemsWe identify a class of niches to be occupied by 'adaptive intelligent systems (AISs)'. In contrast with niches occupied by typical AI agents, AIS 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 AIS niches that exhibit these dimensions of variability and describe a particular AIS niche, ICU (intensive care unit) patient monitoring, which we use for illustration throughout the paper. We have designed and implemented an agent architecture that supports all of different kinds of adaptation by exploiting a single underlying theoretical concept: An agent dynamically constructs explicit control plans to guide its choices among situation-triggered behaviors. We illustrate the architecture and its support for adaptation with examples from Guardian, an experimental agent for ICU monitoring.
Document ID
19970037819
Acquisition Source
Ames Research Center
Document Type
Technical Memorandum (TM)
Authors
Hayes-Roth, Barbara (Stanford Univ. Stanford, CA United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1993
Subject Category
Cybernetics
Report/Patent Number
STAN-CS-TR-93-1496
PB96-152731
KSL-93-19
NAS 1.15:206212
NASA/TM-93-206212
Accession Number
97N31250
Funding Number(s)
CONTRACT_GRANT: DAA21-92-C-0028
CONTRACT_GRANT: NAG2-581
CONTRACT_GRANT: AFOSR-0131-91
CONTRACT_GRANT: ARPA Order-6822
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
ACTIVE CONTROL
COMPUTER PROGRAMMING
MACHINE LEARNING
DYNAMIC CONTROL

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