On using learning automata to model a student's behavior in a tutorial-like system

Authors:
Khaled Hashem;B. John Oommen
Affiliations:
School of Computer Science, Carleton University, Ottawa, Canada;School of Computer Science, Carleton University, Ottawa, Canada
Venue:
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Year:
2007

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Abstract

This paper presents a new philosophy to model the behavior of a Student in a Tutorial-like system using Learning Automata (LA). The model of the Student in our system is inferred using a higher-level of LA, referred to Meta-LA, which attempt to characterize the learning model of the Students (or Student Simulators), while the latter use the Tutorial-like system. To our knowledge, this is the first published result which attempts to infer the learning model of an LA when it is treated externally as a black box, whose outputs are the only observable quantities. Additionally, our paper represents a new class of Multi-Automata systems, where the Meta-LA communicate with the Students, also modelled using LA, in a synchronous scheme of interconnecting automata.