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» Performance and Attention in Multi-Agent Tasks
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COGSR
2011
97views more  COGSR 2011»
13 years 3 months ago
Sleep loss and driver performance: Quantitative predictions with zero free parameters
Fatigue has been implicated in an alarming number of motor vehicle accidents, costing billions of dollars and thousands of lives. Unfortunately, the ability to predict performance...
Glenn Gunzelmann, L. Richard Moore, Dario D. Salvu...
IUI
2004
ACM
14 years 1 months ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
AAAI
1996
13 years 9 months ago
Deciding to Remind During Collaborative Problem Solving: Empirical Evidence for Agent Strategies
Previous work suggests that reminding a conversational partner of mutually known information depends on the conversants' attentional state, their resource limits and the reso...
Pamela W. Jordan, Marilyn A. Walker
COLING
2008
13 years 10 months ago
An Improved Hierarchical Bayesian Model of Language for Document Classification
This paper addresses the fundamental problem of document classification, and we focus attention on classification problems where the classes are mutually exclusive. In the course ...
Ben Allison
TNN
2011
137views more  TNN 2011»
13 years 3 months ago
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators
—The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational...
Ekaterina Vassilieva, Guillaume Pinto, J. Acacio d...