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ITRE
2005
IEEE
14 years 2 months ago
Some studies and lessons learned from ad hoc learning
This work proposes concepts, designs, experiences and lessons learned from some studies of ad hoc learning supported by wireless and mobile technologies. The ad hoc learning activi...
Chih-Yung Chang, Yuh-Shyan Chen, Tai-Chien Kao, Ja...
ICALT
2008
IEEE
14 years 3 months ago
NOESIS: An Enhanced Educational Environment for Kids with Autism Spectrum Disorders
A novel educational environment for kids with autistic spectrum disorders (ASDs), namely NOESIS, is presented in this paper. NOESIS takes into account ASD kids’ individual chara...
Iason Vittorias, Panagiotis Petrantonakis, Dimitri...
ATAL
2005
Springer
14 years 2 months ago
Fuzzy number approach to trust in coalition environment
General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in ...
Martin Rehák, Michal Pechoucek, Petr Benda
ICML
2001
IEEE
14 years 9 months ago
Convergence of Gradient Dynamics with a Variable Learning Rate
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
Michael H. Bowling, Manuela M. Veloso
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 3 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu