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Computer Science and Engineering—Theory and Applications pp 127–149Cite as

A Fuzzy Inference System and Data Mining Toolkit for Agent-Based Simulation in NetLogo

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 143))

Abstract

In machine learning, hybrid systems are methods that combine different computational techniques in modeling. NetLogo is a favorite tool used by scientists with limited ability as programmers who aim to leverage computer modeling via agent-oriented approaches. This paper introduces a novel modeling framework, JT2FIS NetLogo, a toolkit for integrating interval Type-2 fuzzy inference systems in agent-based models and simulations. An extension to NetLogo, it includes a set of tools oriented to data mining, configuration, and implementation of fuzzy inference systems that modeler used within an agent-based simulation. We discuss the advantages and disadvantages of integrating intelligent systems in agent-based simulations by leveraging the toolkit, and present potential areas of opportunity.

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Notes

  1. 1.

    Locations are the terminology used to describe wide geographic areas of the city that are composed of Basic Geo-Statistic Area (BGSA).

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Acknowledgements

We thank the MyDCI program of the Division of Graduate Studies and Research, Autonomous University of Baja California, Mexico, the financial support provided by our sponsor CONACYT contract grant number: 257863.

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Authors and Affiliations

  1. Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Tijuana, Baja California, México

    Josue-Miguel Flores-Parra, Manuel Castañón-Puga, Carelia Gaxiola-Pacheco & Luis-Enrique Palafox-Maestre

  2. Facultad de Contaduría y Administración, Universidad Autónoma de Baja California, Tijuana, Baja California, México

    Ricardo Rosales

  3. University of Texas Health Science Center at San Antonio, San Antonio, TX, USA

    Alfredo Tirado-Ramos

Authors
  1. Josue-Miguel Flores-Parra
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  2. Manuel Castañón-Puga
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  3. Carelia Gaxiola-Pacheco
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  4. Luis-Enrique Palafox-Maestre
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  5. Ricardo Rosales
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  6. Alfredo Tirado-Ramos
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Corresponding author

Correspondence to Josue-Miguel Flores-Parra .

Editor information

Editors and Affiliations

  1. Calzada Universidad, Tijuana, Baja California, Mexico

    Mauricio A. Sanchez

  2. Calzada Universidad, Tijuana, Baja California, Mexico

    Leocundo Aguilar

  3. Calzada Universidad, Tijuana, Baja California, Mexico

    Manuel Castañón-Puga

  4. Calzada Universidad, Tijuana, Baja California, Mexico

    Antonio Rodríguez-Díaz

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Flores-Parra, JM., Castañón-Puga, M., Gaxiola-Pacheco, C., Palafox-Maestre, LE., Rosales, R., Tirado-Ramos, A. (2018). A Fuzzy Inference System and Data Mining Toolkit for Agent-Based Simulation in NetLogo. In: Sanchez, M., Aguilar, L., Castañón-Puga, M., Rodríguez-Díaz, A. (eds) Computer Science and Engineering—Theory and Applications. Studies in Systems, Decision and Control, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-319-74060-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-74060-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74059-1

  • Online ISBN: 978-3-319-74060-7

  • eBook Packages: EngineeringEngineering (R0)

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