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INTERACT
2003
13 years 9 months ago
Confidence Displays and Training in Recommender Systems
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
CDVE
2007
Springer
115views Visualization» more  CDVE 2007»
13 years 12 months ago
A Document Recommendation System Based on Clustering P2P Networks
: This paper presents a document recommendation system based on clustering peer-to-peer networks. It's an unstructured P2P system. In this system each agent-peer can learn use...
Feng Guo, Shaozi Li
INFFUS
2010
143views more  INFFUS 2010»
13 years 6 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
HICSS
2007
IEEE
123views Biometrics» more  HICSS 2007»
14 years 2 months ago
Adaptive Systems Require Adaptive Support--When Tools Attack!
In a world where intelligence can be arguably measured by an animal’s ability to use tools, are we marking ourselves for natural selection? Software development tools are steadi...
Jennifer Baldwin, Yvonne Coady
IAT
2007
IEEE
14 years 2 months ago
Economically Inspired Self-healing Model for Multi-Agent Systems
Self-healing in fault tolerant multi-agent systems is the system ability to automatically detect, diagnose, and repair the faults. However, most of the available solutions are fra...
Maryam Ashoori, Chunyan Miao, Majid Nili, Mehdi Am...