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107
Voted
CCS
2005
ACM
15 years 6 months ago
A model and architecture for pseudo-random generation with applications to /dev/random
We present a formal model and a simple architecture for robust pseudorandom generation that ensures resilience in the face of an observer with partial knowledge/control of the gen...
Boaz Barak, Shai Halevi
94
Voted
ICRA
2007
IEEE
164views Robotics» more  ICRA 2007»
15 years 7 months ago
Affect Recognition in Robot Assisted Rehabilitation of Children with Autism Spectrum Disorder
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD). The overall aim is to enable t...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
15 years 2 months ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...
110
Voted
AAAI
1996
15 years 1 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
FUIN
2010
94views more  FUIN 2010»
14 years 11 months ago
A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to probabilistic inputs, is appropr...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...