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» The importance of learning in fuzzy systems
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IWANN
2005
Springer
14 years 2 months ago
Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms
— This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Fuzzy Inference System (ANFIS) and Genetic Algorithms (GAs). Firstly, genetic algo...
Jesús Fraile-Ardanuy, Pedro J. Zufiria
CIG
2005
IEEE
14 years 2 months ago
A Hybrid AI System for Agent Adaptation in a First Person Shooter
The aim of developing an agent that is able to adapt its actions in response to their effectiveness within the game provides the basis for the research presented in this paper. It ...
Abdennour El Rhalibi, Michael Burkey
IJCNN
2008
IEEE
14 years 3 months ago
Hybrid learning architecture for unobtrusive infrared tracking support
—The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazard...
K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn
WWW
2005
ACM
14 years 9 months ago
Designing learning services: from content-based to activity-based learning systems
The need for e-learning systems that support a diverse set of pedagogical requirements has been identified as an important issue in web-based education. Until now, significant R&a...
Pythagoras Karampiperis, Demetrios G. Sampson
ABIALS
2008
Springer
13 years 10 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...