An Artificial Neural Network (ANN)-Based Learning Agent for Classifying Learning Styles in Self-Regulated Smart Learning Environment

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

Promoting Self-Regulated Learning Skills in Agent-based Learning Environments

We have developed computer environments that support learning by teaching, concept mapping, scaffolding, and the use of self regulated learning (SRL) skills by social interactions with virtual agents. More specifically, students teach a computer agent, Betty, and can monitor her progress by asking her questions and getting her to take quizzes. The system provides SRL support via dialog-embedded...

Two Novel Learning Algorithms for CMAC Neural Network Based on Changeable Learning Rate

Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. In the training phase, the disadvantage of some CMAC models is unstable phenomenon...

Multifunctional learning of a multi-agent based evolutionary artificial neural network with lifetime learning

Inspired by multifunctional neural networks in biological brain, this paper is concerned with building multifunctional learning ability for artiicial neural networks. A multiagent based evolutionary artiicial neural network with lifetime learning (MENL) is used to learn two kinds of navigation abilities together: to explore unknown environments as far as possible and to reach designated goals i...

Learning limits of an artificial neural network