Tendencias en las arquitecturas de chatbots

Autores/as

DOI:

https://doi.org/10.29057/esti.v11i22.15673

Palabras clave:

Chatbot, Inteligencia artificial, arquitecturas chatbots

Resumen

Los chatbots evolucionaron de ser simples programas de laboratorio a convertirse en herramientas ampliamente utilizadas en diversos

sectores, incluyendo el empresarial, educativo y gubernamental. Hoy en día, existen múltiples arquitecturas de chatbots, que van desde

modelos básicos hasta sistemas avanzados basados en técnicas de aprendizaje profundo. En este artículo se revisaron 46 publicaciones

recientes con el objetivo de identificar las tendencias actuales en arquitecturas y aplicaciones de chatbots. A partir de est e análisis, se

ofrece un panorama general que permite comprender la dirección en la que se está desarrollando esta tecnología.

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Citas

Fernández, Y. Así era ELIZA, el primer bot conversacional de la historia. https://www.xataka.com/historia-tecnologica/asi-era-eliza-el-primer-bot-conversacional-de-la-historia, 2024. Consultado el 12/02/2025.

IBM, ¿Qué es el diseño de un chatbot?, IBM, 2023. Disponible en: https://www.ibm.com/mx-es/topics/chatbot-design

Amazon Web Services (AWS), "¿Qué es un bot?", AWS, 2023. Disponible en: https://aws.amazon.com/es/what-is/bot

Espinosa García, P., "Chatbots o asistentes virtuales para la atención en salud mental," Emocional, 1-mar-2023. Disponible en: https://emocional.com/mx/chatbots-o-asistentes-virtuales-para-la-atencion-en-salud-mental/

DeepAI, "Rule-based system," DeepAI, 2023. Disponible en: https://deepai.org/machine-learning-glossary-and-terms/rule-based-system

Google Cloud, "¿Qué es el aprendizaje automático (AA)?", Google Cloud, 2023. Disponible en: https://cloud.google.com/learn/what-is-machine-learning?hl=es-419

Guler, Ahmet akgül, A review on the science of natural language processing., 2022. Consultado el 15/02/2024.

ScienceDirect, "Neural network architecture," ScienceDirect, 2023. Disponible en: https://www.sciencedirect.com/topics/computer-science/neural-network-architecture

López, M., "Inteligencia Artificial híbrida: qué es," Immune Institute, 12-may-2022. Disponible en: https://immune.institute/blog/inteligencia-artificial-hibrida/Papers with Code, "Memory network," Papers with Code, 2023. Disponible en: https://paperswithcode.com/method/memory-network

Google Cloud, "Casos de uso de IA generativa," Google Cloud, 2023. Disponible en: https://cloud.google.com/use-cases/generative-ai?hl=es

Amazon Web Services (AWS), "¿Qué es RAG?: explicación de la IA de generación aumentada por recuperación," AWS, 2023. Disponible en: https://aws.amazon.com/es/what-is/retrieval-augmented-generation/

Feersum Engine, "Natural language understanding for task-oriented chatbots," Medium, 2023. Disponible en: https://medium.com/feersum-engine/natural-language-understanding-for-task-oriented-chatbots-6b494a16d7a7

Improvitz, "The future of chatbot interaction: Exploring the potential of context-aware technology," Impactum, 30-agosto-2023. Disponible en: https://impactum.mx/the-future-of-chatbot-interaction-exploring-the-potential-of-context-aware-technology/

ChatCompose, "Comprendiendo la Arquitectura de los Chatbots", ChatCompose, [En línea]. Disponible en: https://www.chatcompose.com/arquitectura.html. [Accedido: 5 de junio de 2025].

Amazon Web Services, “¿Qué es la generación aumentada por recuperación (RAG)?”, Amazon Web Services, [En línea]. Disponible en: https://aws.amazon.com/es/what-is/retrieval-augmented-generation/. [Accedido: 5-jun-2025].

E. Souza, “¿Cómo impacta el Diseño Generativo en la arquitectura?”, ArchDaily México, 19 de abril de 2020. [En línea]. Disponible en: https://www.archdaily.mx/mx/937716/como-impacta-el-diseno-generativo-en-la-arquitectura. [Accedido: 5-jun-2025].

Aunoa, “Arquitectura de un sistema de IA conversacional,” Aunoa, [En línea]. Disponible en: https://aunoa.ai/blog/arquitectura-de-un-sistema-de-ia-conversacional/. [Accedido: 5-jun-2025].

A. Leivadeas; M. Falkner, "A Survey on Intent-Based Networking," IEEE Communications Surveys & Tutorials, vol. 25, no. 1, pp. 625-655, 2023.

M. A. K. Raiaan; M. S. H. Mukta; K. Fatema; N. M. Fahad; S. Sakib; M. M. J. Mim; J. Ahmad; M. E. Ali; S. Azam, "A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges," IEEE Access, vol. 12, pp. 26839-26874, 2024.

G. Yenduri; M. Ramalingam; G. C. Selvi; Y. Supriya; G. Srivastava; P. K. R. Maddikunta; G. D. Raj; R. H. Jhaveri; B. Prabadevi; W. Wang; A. V. Vasilakos; T. R. Gadekallu, "GPT (Generative Pre-Trained Transformer)—A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions," IEEE Access, vol. 12, pp. 54608-54649, 2024.

Q. Miao; W. Zheng; Y. Lv; M. Huang; W. Ding; F. -Y. Wang, "DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 4, pp. 877-897, 2023.

E. N. Crothers; N. Japkowicz; H. L. Viktor, "Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods," IEEE Access, vol. 11, pp. 70977-71002, 2023.

S. Malodia; N. Islam; P. Kaur; A. Dhir, "Why Do People Use Artificial Intelligence (AI)-Enabled Voice Assistants?," IEEE Transactions on Engineering Management, vol. 71, pp. 491-505, 2024.

S. Sharma; G. Singh; N. Islam; A. Dhir, "Why Do SMEs Adopt Artificial Intelligence-Based Chatbots?," IEEE Transactions on Engineering Management, vol. 71, pp. 1773-1786, 2024.

H. Xue; F. D. Salim, "PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting," IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 6851-6864, 2024.

V. Hassija; A. Chakrabarti; A. Singh; V. Chamola; B. Sikdar, "Unleashing the Potential of Conversational AI: Amplifying Chat-GPT’s Capabilities and Tackling Technical Hurdles," IEEE Access, vol. 11, pp. 143657-143682, 2023.

I. Froiz-Míguez; P. Fraga-Lamas; T. M. Fernández-Caramés, "Design, Implementation, and Practical Evaluation of a Voice Recognition Based IoT Home Automation System for Low-Resource Languages and Resource-Constrained Edge IoT Devices: A System for Galician and Mobile Opportunistic Scenarios," IEEE Access, vol. 11, pp. 63623-63649, 2023.

A. Meloni; S. Angioni; A. Salatino; F. Osborne; D. Reforgiato Recupero; E. Motta, "Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain," IEEE Access, vol. 11, pp. 22468-22489, 2023.

M. U. Islam; B. M. Chaudhry, "A Framework to Enhance User Experience of Older Adults With Speech-Based Intelligent Personal Assistants," IEEE Access, vol. 11, pp. 16683-16699, 2023.

Y. -C. Wang; J. Xue; C. Wei; C. -C. J. Kuo, "An Overview on Generative AI at Scale With Edge–Cloud Computing," IEEE Open Journal of the Communications Society, vol. 4, pp. 2952-2971, 2023.

M. Charfeddine; H. M. Kammoun; B. Hamdaoui; M. Guizani, "ChatGPT’s Security Risks and Benefits: Offensive and Defensive Use-Cases, Mitigation Measures, and Future Implications," IEEE Access, vol. 12, pp. 30263-30310, 2024.

Y. Xiao; Y. Jia; Q. Hu; X. Cheng; B. Gong; J. Yu, "CommandFence: A Novel Digital-Twin-Based Preventive Framework for Securing Smart Home Systems," IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 3, pp. 2450-2465, 2023.

S. Nasir; R. A. Khan; S. Bai, "Ethical Framework for Harnessing the Po3wer of AI in Healthcare and Beyond," IEEE Access, vol. 12, pp. 31014-31035, 2024.

L. Benaddi; C. Ouaddi; A. Jakimi; B. Ouchao, "A Systematic Review of Chatbots: Classification, Development, and Their Impact on Tourism," IEEE Access, vol. 12, pp. 78799-78810, 2024.

Z. Ma; B. Sun; S. Li, "A Two-Stage Selective Fusion Framework for Joint Intent Detection and Slot Filling," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 3, pp. 3874-3885, 2024.

A. Abilkaiyrkyzy; F. Laamarti; M. Hamdi; A. E. Saddik, "Dialogue System for Early Mental Illness Detection: Toward a Digital Twin Solution," IEEE Access, vol. 12, pp. 2007-2024, 2024.

R. S. Albornoz-De Luise; M. Arevalillo-Herráez; D. Arnau, "On Using Conversational Frameworks to Support Natural Language Interaction in Intelligent Tutoring Systems," IEEE Transactions on Learning Technologies, vol. 16, no. 5, pp. 722-735, 2023.

M. Ahmed; H. U. Khan; E. U. Munir, "Conversational AI: An Explication of Few-Shot Learning Problem in Transformers-Based Chatbot Systems," IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 1888-1906, 2024.

D. Cai; M. Li, "Leveraging ASR Pretrained Conformers for Speaker Verification Through Transfer Learning and Knowledge Distillation," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 3532-3545, 2024.

D. K. Murala; S. K. Panda; S. P. Dash, "MedMetaverse: Medical Care of Chronic Disease Patients and Managing Data Using Artificial Intelligence, Blockchain, and Wearable Devices State-of-the-Art Methodology," IEEE Access, vol. 11, pp. 138954-138985, 2023.

K. Mahmood; G. Rasool; F. Sabir; A. Athar, "An Empirical Study of Web Services Topics in Web Developer Discussions on Stack Overflow," IEEE Access, vol. 11, pp. 9627-9655, 2023.

M. Firdaus; N. Thangavelu; A. Ekbal; P. Bhattacharyya, "I Enjoy Writing and Playing, Do You?: A Personalized and Emotion Grounded Dialogue Agent Using Generative Adversarial Network," IEEE Transactions on Affective Computing, vol. 14, no. 3, pp. 2127-2138, 2023.

P. Cheng; Y. Wu; Y. Hong; Z. Ba; F. Lin; L. Lu; K. Ren, "UniAP: Protecting Speech Privacy With Non-Targeted Universal Adversarial Perturbations," IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 1, pp. 31-46, 2024.

M. Firdaus; A. Shandilya; A. Ekbal; P. Bhattacharyya, "Being Polite: Modeling Politeness Variation in a Personalized Dialog Agent," IEEE Transactions on Computational Social Systems, vol. 10, no. 4, pp. 1455-1464, 2023.

C. Trivedi; P. Bhattacharya; V. K. Prasad; V. Patel; A. Singh; S. Tanwar; R. Sharma; S. Aluvala; G. Pau; G. Sharma, "Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions," IEEE Open Journal of Industry Applications, vol. 5, pp. 177-208, 2024.

P. W. Kim, "A Framework to Overcome the Dark Side of Generative Artificial Intelligence (GAI) Like ChatGPT in Social Media and Education," IEEE Transactions on Computational Social Systems, vol. 11, no. 4, pp. 5266-5274, 2024.

A. Singh; R. Bhatia; S. Saha, "Complaint and Severity Identification From Online Financial Content," IEEE Transactions on Computational Social Systems, vol. 11, no. 1, pp. 660-670, 2024.

Y. Meng; J. Li; H. Zhu; Y. Tian; J. Chen, "Privacy-Preserving Liveness Detection for Securing Smart Voice Interfaces," IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 4, pp. 2900-2916, 2024.

N. Nouman; Z. A. Shaikh; S. Wasi, "A Novel Personalized Learning Framework With Interactive e-Mentoring," IEEE Access, vol. 12, pp. 10428-10458, 2024.

D. Branco; A. Amato; S. Venticinque; R. Aversa, "Agents Based Cyber-Physical Diffused Museums Over Web Interoperability Standards," IEEE Access, vol. 11, pp. 44107-44122, 2023.

Q. -D. L. Tran; A. -C. Le; V. -N. Huynh, "Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning," IEEE Access, vol. 11, pp. 75955-75970, 2023.

P. Galetsi; K. Katsaliaki; S. Kumar, "Realizing Resilient Global Market Opportunities and Societal Benefits Through Innovative Digital Technologies in the Post COVID-19 Era: A Conceptual Framework and Critical Literature Review," IEEE Transactions on Engineering Management, vol. 71, pp. 10650-10666, 2024.

H. A. Shafei; C. C. Tan, "A Closer Look at Access Control in Multi-User Voice Systems," IEEE Access, vol. 12, pp. 40933-40946, 2024.

R. Sarwar; L. An Ha; P. S. Teh; F. Sabah; R. Nawaz; I. A. Hameed; M. U. Hassan, "AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model," IEEE Access, vol. 12, pp. 15399-15409, 2024.

X. Zheng, "Building Conventional “Experts” With a Dialogue Logic Programming Language," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1784-1796, 2023.

Y. Lee; N. Kim; J. Jeong; I. -Y. Kwak, "Experimental Case Study of Self-Supervised Learning for Voice Spoofing Detection," IEEE Access, vol. 11, pp. 24216-24226, 2023.

P. Tummala; C. K. Roa, "Exploring T5 and RGAN for Enhanced Sarcasm Generation in NLP," IEEE Access, vol. 12, pp. 88642-88657, 2024.

R. Rijgersberg-Peters; W. van Vught; J. Broekens; M. A. Neerincx, "Goal Ontology for Personalized Learning and Its Implementation in Child's Health Self-Management Support," IEEE Transactions on Learning Technologies, vol. 17, pp. 903-918, 2024.

Y. Wu; J. Han; Z. Jian; W. Xu, "Human Voice Sensing Through Radio Frequency Technologies: A Comprehensive Review," IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-20, 2024.

D. Halvoník; J. Kapusta, "Large Language Models and Rule-Based Approaches in Domain-Specific Communication," IEEE Access, vol. 12, pp. 107046-107058, 2024.

E. B. M. Chaparro; J. Muñoz-Arteaga; Á. E. M. Zavala; H. C. Reyes; K. O. V. Condori, "Mixed Reality Ecosystem Architecture to Support Visuoconstructive Ability in Older Adults," IEEE Revista Iberoamericana de Tecnologías del Aprendizaje, vol. 18, no. 2, pp. 182-189, 2023.

A. Tandon; A. Dhir; N. Islam, "Mobile Health Interventions for Cancer Care and Support: The Next Level of Digitalization in Healthcare?," IEEE Transactions on Engineering Management, vol. 71, pp. 6173-6189, 2024.

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Publicado

2026-01-05

Cómo citar

Miguel García, F. J., & López Chau, A. (2026). Tendencias en las arquitecturas de chatbots. Boletín Científico INVESTIGIUM De La Escuela Superior De Tizayuca, 11(22), 39–45. https://doi.org/10.29057/esti.v11i22.15673