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Kaa: policy-based explorations of a richer model for adjustable autonomy
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Authors:
Jeffrey M. Bradshaw
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Hyuckchul Jung
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Shri Kulkarni
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Matthew Johnson
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Paul Feltovich
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
James Allen
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Larry Bunch
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Nathanael Chambers
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Lucian Galescu
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Renia Jeffers
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Niranjan Suri
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
William Taysom
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
Andrzej Uszok
Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL
2005 Article
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Published in:
· Proceeding
AAMAS '05
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Pages 214-221
ACM
New York, NY
, USA
©2005
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ISBN:1-59593-093-0
doi>
10.1145/1082473.1082506
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Tags:
adjustable autonomy
distributed artificial intelligence
human factors
human-agent teamwork
kaa
kaos
owl
performance
policy
reliability
trust
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