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WEBI
2009
Springer
16 years 1 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Özgür Kafali, Pinar Yolum
ICC
2007
IEEE
175views Communications» more  ICC 2007»
16 years 1 months ago
A Framework for Dynamic Spectrum Sharing Between Cognitive Radios
— We consider a cognitive radio system like the future 802.22 networks where license-exempt service providers (SPs) will share a fixed spectrum in a non-interference basis to ea...
Joydeep Acharya, Roy D. Yates
ICSM
2005
IEEE
16 years 10 days ago
Dynamic Feature Traces: Finding Features in Unfamiliar Code
This paper introduces an automated technique for feature location: helping developers map features to relevant source code. Like several other automated feature location technique...
Andrew David Eisenberg, Kris De Volder
EWCBR
2004
Springer
16 years 4 days ago
Dynamic Critiquing
Abstract. Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
ATAL
2007
Springer
15 years 10 months ago
Dynamically learning sources of trust information: experience vs. reputation
Categories and Subject Descriptors Artificial Intelligence Intelligent Agents, Multiagent Systems General Terms Keywords
Karen Fullam, K. Suzanne Barber