Absorbing and ergodic discretized two-action learning automata
IEEE Transactions on Systems, Man and Cybernetics
Learning automata: an introduction
Learning automata: an introduction
Learning automata: theory and applications
Learning automata: theory and applications
Refinement-based student modeling and automated bug library construction
Journal of Artificial Intelligence in Education
Learning to teach with a reinforcement learning agent
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning Algorithms Theory and Applications
Learning Algorithms Theory and Applications
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Learning Automata and Stochastic Optimization
Learning Automata and Stochastic Optimization
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
An Actor Based Architecture for Intelligent Tutoring Systems
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
A Collection of Pedagogical Agents for Intelligent Educational Systems
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Learning automata based intelligent tutorial-like systems
Learning automata based intelligent tutorial-like systems
On using learning automata to model a student's behavior in a tutorial-like system
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Continuous and discretized pursuit learning schemes: variousalgorithms and their comparison
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Guest editorial learning automata: theory, paradigms, and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Varieties of learning automata: an overview
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Generalized pursuit learning schemes: new families of continuous and discretized learning automata
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The aim of this pioneering research is to study, design, and implement systems that could tutor other sub-systems using techniques that traditional real-life Teachers use when they teach real-life Students. The research undertaken is a result of merging the fields of Intelligent Tutoring Systems (ITS) and Learning Automata (LA), and leads to a paradigm which we refer to to as "Intelligent Tutorial-like " systems. In our proposed novel approach, every component incorporates the fundamental principles of LA. Thus, we model the Student (i.e., the learning mechanism) using an LA. Each Student is considered to be a member of a Classroom of Students, each of whom is individually represented by a distinct (and possibly different) LA. We also model the Domain and the Teacher using the LA paradigm. Our research also works within a new philosophical perspective. We relax the constraint that "traditional" Tutorial systems have, namely the one of assuming that the Teacher is infallible. Rather, we assume that the Teacher is inherently uncertain of the domain knowledge, and is thus of a stochastic nature. However, although he is not absolutely certain about the material being taught, he is also capable of improving his own "teaching skills" even while the operation of the system proceeds. Finally, we also attempt to model a realistic learning framework, where the Students can learn not only from the Teacher, but also from other colleague Students in the Classroom.