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» Learning Models of Intelligent Agents
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129
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CHI
2011
ACM
14 years 4 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
106
Voted
ADC
2006
Springer
156views Database» more  ADC 2006»
15 years 6 months ago
A new approach to intelligent text filtering based on novelty detection
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
Randa Kassab, Jean-Charles Lamirel
91
Voted
IAT
2010
IEEE
14 years 10 months ago
An Agent Model for Analysis of Human Performance Quality
-- A human's performance in a complex task is highly dependent on the demands of the task, in the sense that highly demanding situations will often cause a degradation of perf...
Michel C. A. Klein, Rianne van Lambalgen, Jan Treu...
99
Voted
ATAL
2008
Springer
15 years 2 months ago
A scalable and distributed model for self-organization and self-healing
As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these agents in such a way that the sum of their...
Michael Rubenstein, Wei-Min Shen
95
Voted
CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 14 days ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee