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ICALT
2003
IEEE
15 years 2 months ago
Adaptive Exploration of Assessment Results under Uncertainty
In the context of Intelligent Learning Environments (ILE), adaptivity plays a key role. In order to achieve adaptive behavior an ILE should have a rich representation of the learn...
Dimitris Lamboudis, Anastasios A. Economides, Anas...
CIMCA
2005
IEEE
15 years 3 months ago
Scenario Based Fault Detection in Context-Aware Ubiquitous Systems using Bayesian Networks
We define the use of Bayesian Networks for fault detection in the perception mechanism of context-aware ubiquitous systems. This paper1 describes the complete working of such a f...
Bilal Ahmed, Young-Koo Lee, Sungyoung Lee, Yonil Z...
ATAL
2005
Springer
15 years 3 months ago
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design
Traditionally, top-down and bottom-up design approaches have competed with each other in Algorithmics and Software Engineering. In the top-down approach, design process starts wit...
Valentino Crespi, Aram Galstyan, Kristina Lerman
FLAIRS
1998
14 years 10 months ago
Learning to Race: Experiments with a Simulated Race Car
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
Larry D. Pyeatt, Adele E. Howe
AAAI
2008
14 years 11 months ago
Planning for Human-Robot Interaction Using Time-State Aggregated POMDPs
In order to interact successfully in social situations, a robot must be able to observe others' actions and base its own behavior on its beliefs about their intentions. Many ...
Frank Broz, Illah R. Nourbakhsh, Reid G. Simmons