Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots

Miguel Angel Quiroz Martinez; Andres Fabian  Arteaga Ramírez; Santiago Teodoro Castro Arias; Maikel Yelandi Leyva Vazquez

doi:10.1007/978-3-030-80624-8_32

Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots

Miguel Angel Quiroz Martinez, Andres Fabian Arteaga Ramírez, Santiago Teodoro Castro Arias, Maikel Yelandi Leyva Vazquez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The massification of online resources has allowed people and companies to be forced to use them, for various reasons, whether educational, recreational, communicative, or work. In tough situations, such as pandemics, the chatbot has been very useful, but its effectiveness depends on the application of several parallel processes. The objective was to present a study of the teaching of Brook’s law based on fuzzy cognitive maps and chatbots. A quantitative approach was used under a descriptive criterion, pertinent to the study related to artificial intelligence. The need to apply supervised learning on the knowledge of the bot and also a direct one, from the interface, was observed. The results showed that the application of fuzzy cognitive maps improves the development of new technologies, together with FCM-Fusion that presents activities in a single frame. It was concluded that Brooks’s theory makes sense and, in several projects, there have been economic losses, due to change or inclusion of new people, which slow down the processes, make them more expensive, and do not produce the expected results. For the application of new communication technologies, MCDs are necessary, since they allow the development of software, according to AI, added to the use of the chatbot, for customer service.

Original language	English
Title of host publication	Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
Editors	Tareq Z. Ahram, Waldemar Karwowski, Jay Kalra
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	251-258
Number of pages	8
ISBN (Print)	9783030806231
DOIs	https://doi.org/10.1007/978-3-030-80624-8_32
State	Published - 2021
Event	AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 - Virtual, Online Duration: 25 Jul 2021 → 29 Jul 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	271
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
City	Virtual, Online
Period	25/07/21 → 29/07/21

Bibliographical note

Funding Information:
This work has been supported by the GIIAR research group and the Universidad Polit?cnica Salesiana.

Funding Information:
Acknowledgments. This work has been supported by the GIIAR research group and the Universidad Politécnica Salesiana.

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Brooks law
Chatbot
Cognitive paradigm
Fuzzy cognitive maps
Online learning

Access to Document

10.1007/978-3-030-80624-8_32

Cite this

Martinez, M. A. Q., Arteaga Ramírez, A. F., Arias, S. T. C., & Vazquez, M. Y. L. (2021). Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots. In T. Z. Ahram, W. Karwowski, & J. Kalra (Eds.), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 (pp. 251-258). (Lecture Notes in Networks and Systems; Vol. 271). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-80624-8_32

Martinez, Miguel Angel Quiroz ; Arteaga Ramírez, Andres Fabian ; Arias, Santiago Teodoro Castro et al. / Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots. Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. editor / Tareq Z. Ahram ; Waldemar Karwowski ; Jay Kalra. Springer Science and Business Media Deutschland GmbH, 2021. pp. 251-258 (Lecture Notes in Networks and Systems).

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title = "Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots",

abstract = "The massification of online resources has allowed people and companies to be forced to use them, for various reasons, whether educational, recreational, communicative, or work. In tough situations, such as pandemics, the chatbot has been very useful, but its effectiveness depends on the application of several parallel processes. The objective was to present a study of the teaching of Brook{\textquoteright}s law based on fuzzy cognitive maps and chatbots. A quantitative approach was used under a descriptive criterion, pertinent to the study related to artificial intelligence. The need to apply supervised learning on the knowledge of the bot and also a direct one, from the interface, was observed. The results showed that the application of fuzzy cognitive maps improves the development of new technologies, together with FCM-Fusion that presents activities in a single frame. It was concluded that Brooks{\textquoteright}s theory makes sense and, in several projects, there have been economic losses, due to change or inclusion of new people, which slow down the processes, make them more expensive, and do not produce the expected results. For the application of new communication technologies, MCDs are necessary, since they allow the development of software, according to AI, added to the use of the chatbot, for customer service.",

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Martinez, MAQ, Arteaga Ramírez, AF, Arias, STC & Vazquez, MYL 2021, Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots. in TZ Ahram, W Karwowski & J Kalra (eds), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. Lecture Notes in Networks and Systems, vol. 271, Springer Science and Business Media Deutschland GmbH, pp. 251-258, AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021, Virtual, Online, 25/07/21. https://doi.org/10.1007/978-3-030-80624-8_32

Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots. / Martinez, Miguel Angel Quiroz; Arteaga Ramírez, Andres Fabian ; Arias, Santiago Teodoro Castro et al.
Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. ed. / Tareq Z. Ahram; Waldemar Karwowski; Jay Kalra. Springer Science and Business Media Deutschland GmbH, 2021. p. 251-258 (Lecture Notes in Networks and Systems; Vol. 271).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Martinez MAQ, Arteaga Ramírez AF, Arias STC, Vazquez MYL. Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots. In Ahram TZ, Karwowski W, Kalra J, editors, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. Springer Science and Business Media Deutschland GmbH. 2021. p. 251-258. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-80624-8_32

Teaching Brooks Law Based on Fuzzy Cognitive Maps and Chatbots

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Keywords

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