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DInAton with OC2-RD2

A didactic and interactive language for the construction of adaptive automata in active learning environments

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Abstract

In order to reach the community interested in some basic elements of the adaptive automata theory, an interpretable language called DInAton (Didactical and Interactive Adaptive Automata Construction Language) was designed. In the language design, the criteria of similarity, orthogonality and parsimony were considered with the intention of preserving the adherence to the adaptive theory and of conceiving an interactive environment for learning its main foundations. Those requirements related to an active learning environment were met using the narrative-centered OC2-RD2 technique. As a research result, we obtained a grammar for the DInAton language that served as the basis for the development of a functional prototype with support for incremental construction of finite and adaptive automata. In addition to DInAton, we refine the OC2-RD2 technique with the idea of organizational plans used during the process of constructing an interactive narrative for the learning environment.

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Acknowledgements

We thank three anonymous reviewers for critically reading the manuscript and suggesting substantial improvements.

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Authors and Affiliations

  1. Departamento de Computação, Pontifícia Universidade Católica de São Paulo, Rua Marquês de Paranaguá, 111, São Paulo, SP, Brasil

    Italo S. Vega

  2. Escola Politécnica, Departamento de Engenharia de Computação e Sistemas Digitais, Universidade de São Paulo, Av. Prof. Luciano Gualberto, s/n, Travessa 3, 158, São Paulo, SP, Brasil

    João J. Neto

  3. Brazilian Institute of Education, Science and Technology, R. Pedro Vicente, 625, São Paulo, SP, Brasil

    Francisco S. Marcondes

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  1. Italo S. Vega
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  2. João J. Neto
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  3. Francisco S. Marcondes
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Correspondence to Italo S. Vega.

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Vega, I.S., Neto, J.J. & Marcondes, F.S. DInAton with OC2-RD2. J Ambient Intell Human Comput 10, 2585–2592 (2019). https://doi.org/10.1007/s12652-018-0735-1

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  • DOI: https://doi.org/10.1007/s12652-018-0735-1

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