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AIED
2009
Springer
15 years 6 months ago
Modeling Task-Based vs. Affect-based Feedback Behavior in Pedagogical Agents: An Inductive Approach
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivat...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
AIED
2005
Springer
15 years 5 months ago
"Be bold and take a challenge": Could motivational strategies improve help-seeking?
We are exploring whether the use of facilities aimed at improving the learner’s motivation has an effect on learning food-chains and food-webs, but also on help-seeking behaviour...
Genaro Rebolledo-Mendez, Benedict du Boulay, Rosem...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 3 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
AR
2007
138views more  AR 2007»
14 years 11 months ago
Integrating robotics and neuroscience: brains for robots, bodies for brains
—Researchers in robotics and artificial intelligence have often looked at biology as a source of inspiration for solving their problems. From the opposite perspective, neuroscie...
Michele Rucci, Daniel Bullock, Fabrizio Santini
AAAI
1997
15 years 25 days ago
Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft
1 We have constructed a team of intelligent agents that perform the tasks of an attack helicopter company for a synthetic battlefield environment used for running largescale milita...
Randall W. Hill Jr., Johnny Chen, Jonathan Gratch,...