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» The use of agents in human learning systems
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MATES
2009
Springer
16 years 29 days ago
Towards a Taxonomy of Decision Making Problems in Multi-Agent Systems
Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...
Christian Guttmann
EUSFLAT
2007
176views Fuzzy Logic» more  EUSFLAT 2007»
15 years 7 months ago
Modifying the Classic Peak Picking Technique Using a Fuzzy Multi Agent to Have an Accurate P300-based BCI
EEG-based brain computer interface (BCI) provides a new communication channel between the human brain and a computer. The classification of EEG data is an important task in EEG-ba...
Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Ali M...
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
15 years 7 months ago
Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Alexandros Mouzakitis, Geoff Roberts
UM
2007
Springer
16 years 15 days ago
Evaluating a Simulated Student Using Real Students Data for Training and Testing
: SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
ATAL
2005
Springer
15 years 12 months ago
Evaluating the interaction with synthetic agents using attention and affect tracking
We motivate an approach to evaluating the utility of synthetic agents that is based on human physiology rather than questionnaires. The primary tool is an eye tracker that provide...
Helmut Prendinger, Chunling Ma, Jin Yingzi, Kushid...