Referencias

Anthropic (25 de noviembre de 2024). Introducing the Model Context Protocol. Anuncio oficial. Creado por David Soria Parra y Justin Spahr-Summers. Especificación en modelcontextprotocol.io.

Australian Government, Australia’s AI Ethics Framework (revision), 2024 (2024). Australia’s AI Ethics Framework (revision), 2024.

Bai, Yuntao; Kadavath, Saurav; Kundu, Sandipan; others (2022). Constitutional AI: Harmlessness from AI Feedback. Anthropic, arXiv preprint.

Blattmann, Andreas; Rombach, Robin; Ling, Huan; others (2023). Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CVPR, 2023.

Bonér, Jonas; Farley, Dave; Kuhn, Roland; Thompson, Martin (2014). The Reactive Manifesto.

Bovens, Mark (2007). Analysing and Assessing Accountability: A Conceptual Framework. European Law Journal, 2007.

Brewer, Eric A. (2000). Towards Robust Distributed Systems (CAP Theorem). ACM PODC, 2000.

CAC (10 de julio de 2023). Interim Measures for the Management of Generative Artificial Intelligence Services (Shengcheng rengong zhineng fuwu guanli zanxing banfa, romanizado). Orden n.º 15 de la Administración Nacional de Ciberseguridad (CAC), junto con NDRC, Ministerio de Educación, de Ciencia y Tecnología, de Industria e Información, de Seguridad Pública y de Radiodifusión. Adoptada el 23 de mayo de 2023, en vigor desde el 15 de agosto de 2023. 24 artículos y 5 capítulos. Texto oficial en gov.cn.

China Meteorological Administration, MAZU early-warning platform documentation, 2026 (2026). MAZU early-warning platform documentation, 2026.

China, Personal Information Protection Law (PIPL), 2021 (2021). Personal Information Protection Law (PIPL), 2021.

Cisco, Smart+Connected Communities, as cited in the manuscript, 2024 (2024). Smart+Connected Communities, as cited in the manuscript, 2024.

Clark, Andy (2016). The Predictive Mind: An Embodied Theory of Consciousness. Oxford University Press. _ Traducción española: La mente predictiva._

Colledanchise, Michele; Ögren, Petter (2018). Behavior Trees in Robotics and AI: An Introduction. CRC Press, 2018.

CONAB, As cited in the manuscript, 2024 (2024). As cited in the manuscript, 2024.

DeepSeek-AI (20 de enero de 2025). DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. arXiv:2501.12948 [cs.CL]. El trabajo previo del mismo equipo es DeepSeek-V3 Technical Report, arXiv:2412.19437 (27 de diciembre de 2024)._

Dettmers, Tim; Pagnoni, Artidoro; Holtzman, Ari; Zettlemoyer, Luke (2023). QLoRA: Efficient Finetuning of Quantized LLMs. NeurIPS, 2023.

ECNS, News report, as cited in the manuscript, July, 2026 (2026). News report, as cited in the manuscript, July, 2026.

Epoch AI, Report, as cited in the manuscript, 2024 (2024). Report, as cited in the manuscript, 2024.

Forsgren, Nicole; Humble, Jez; Kim, Gene (2018). Accelerate: The Science of Lean Software and DevOps. IT Revolution Press, 2018.

Global Times, News report, as cited in the manuscript, July, 2026 (2026). News report, as cited in the manuscript, July, 2026.

Google DeepMind, Technical documentation, as cited in the manuscript, 2024 (2024). Technical documentation, as cited in the manuscript, 2024.

Google DeepMind (febrero de 2024). Gemma: Open Models Based on Gemini Technology. Model card técnica de la familia Gemma, que incluye la variante Gemma 2B citada en el capítulo.

GovTech Singapore, As cited in the manuscript, 2024 (2024). As cited in the manuscript, 2024.

Hewitt, Carl; Bishop, Peter; Steiger, Richard (1973). A Universal Modular Actor Formalism for Artificial Intelligence. IJCAI.

Hunt, Andrew; Thomas, David (2019). The Pragmatic Programmer. (20th Anniversary, Addison-Wesley, 2019 ed.) Addison-Wesley, 2019.

Hutchins, Edwin (1995). Cognition in the Wild. MIT Press, 1995.

IDC (julio de 2026). Worldwide Quarterly Wearable Device Tracker y Worldwide Quarterly Augmented and Virtual Reality Headset Tracker, actualizados el 1 de julio de 2026. Gafas inteligentes: 2,25 millones de unidades en el primer trimestre de 2026 y previsión de 13,6 millones para 2026; ingresos de 5.100 millones de dólares en 2026. Realidad mixta: de 3,2 millones de unidades en 2026 a 10,4 millones en 2030, con ingresos de 7.100 millones en 2030.

IDRC/UNESCO, As cited in the manuscript, 2023 (2023). As cited in the manuscript, 2023.

Jerald, Jason (2009). As cited in the manuscript (VR latency). bibliographic detail not fully verified.

Jimenez, Carlos E.; Yang, John; Wettig, Alexander; others (2024). SWE-bench: Can Language Models Resolve Real-World GitHub Issues?. ICLR.

Khan Academy, As cited in the manuscript, 2024 (2024). As cited in the manuscript, 2024.

Kleppmann, Martin (2017). Designing Data-Intensive Applications. O’Reilly Media, 2017.

Kwon, Woosuk; Li, Zhuohan; Zhuang, Siyuan; others (2023). Efficient Memory Management for Large Language Model Serving with PagedAttention. ACM SOSP, 2023.

Martin, Robert C. (2017). Clean Architecture: A Craftsman’s Guide to Software Structure and Design. Prentice Hall.

Mehta, Sachin; Rastegari, Mohammad (2021). MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. arXiv preprint.

Meta Platforms, Technical documentation, as cited in the manuscript, 2024 (2024). Technical documentation, as cited in the manuscript, 2024.

Miller, George A. (1956). The Magical Number Seven, Plus or Minus Two. Psychological Review, 1956.

Millington, Ian; Funge, John (2009). Artificial Intelligence for Games. (2nd, CRC Press, 2009 ed.) CRC Press, 2009.

Ministerio de Gestión de Emergencias de China, As cited in the manuscript, 2026 (2026). As cited in the manuscript, 2026.

Danry, Valdemar; Pataranutaporn, Pattarapong; Cui, Carolyn; Hung, Justin; Blanchard, Lesley; Buçinca, Zana; et al.; Maes, Pattie (2025). Human-AI Interaction for Augmented Reasoning: Improving Human Reflective and Critical Thinking with Artificial Intelligence. CHI 2025, Extended Abstracts. MIT Media Lab.

Newman, Sam (2019). Monolith to Microservices. O’Reilly Media, 2019.

NIST, AI Risk Management Framework 1.0, 2023 (2023). AI Risk Management Framework 1.0, 2023.

Nygard, Michael T. (2018). Release It! Design and Deploy Production-Ready Software. (2nd, Pragmatic Bookshelf, 2018 ed.) Pragmatic Bookshelf, 2018.

OpenAI (12 de septiembre de 2024). Learning to Reason with LLMs. En AIME 2024, GPT-4o resolvió de media el 12 % de los problemas (1,8 de 15) y o1 el 74 % (11,1 de 15) con una sola muestra por problema.

Ouyang, Long; Wu, Jeffrey; Jiang, Xu; Almeida, Diogo; others (2022). Training Language Models to Follow Instructions with Human Feedback. Advances in Neural Information Processing Systems (NeurIPS).

Park, Joon Sung; O’Brien, Joseph C.; Cai, Carrie J.; Morris, Meredith Ringel; Liang, Percy; Bernstein, Michael S. (2023). Generative Agents: Interactive Simulacra of Human Behavior. arXiv preprint.

Saltzer, Jerome H.; Schroeder, Michael D. (1975). The Protection of Information in Computer Systems. Proceedings of the IEEE, 1975.

Shinn, Noah; Cassano, Federico; Berman, Edward; Gopinath, Ashwin; Narasimhan, Karthik; Yao, Shunyu (2023). Reflexion: Language Agents with Verbal Reinforcement Learning. Advances in Neural Information Processing Systems (NeurIPS).

Skelton, Matthew; Pais, Manuel (2019). Team Topologies: Organizing Business and Technology Teams for Fast Flow. IT Revolution Press.

South China Morning Post, News report, as cited in the manuscript, July, 2026 (2026). News report, as cited in the manuscript, July, 2026.

Park, R.; Miller, M.; Han, E.; DeVeaux, C.; Bailenson, J.; Ram, N. (2026). Evolution of Networks in Virtual Reality: A Scalable Framework for Studying Social Dynamics of Small Groups. PLoS One, 21(8). Laboratorio de Interaccion Humana Virtual de Stanford (VHIL, dirigido por Jeremy Bailenson)._

Synergy Research Group, Report, as cited in the manuscript, 2024 (2024). Report, as cited in the manuscript, 2024.

Tech Council of Australia, Report, as cited in the manuscript, 2024 (2024). Report, as cited in the manuscript, 2024.

Tenenbaum, Joshua B.; Kemp, Charles; Griffiths, Thomas L.; Goodman, Noah D. (2011). How to Grow a Mind: Statistics, Structure, and Abstraction. Science, 2011.

TomTom, Traffic Index, 2023 (2023). Traffic Index, 2023.

Unity Technologies (23 de agosto de 2025). ML-Agents Toolkit, version 1.1.0. Repositorio Unity-Technologies/ml-agents. Herramienta de codigo abierto para entrenar agentes con aprendizaje por refuerzo e imitacion en juegos y simulaciones. Version verificada 1.1.0; el paquete verificado para Unity 2020.1 en adelante se numera 1.0.x. Trabajo de referencia: Juliani et al. (2020), «Unity: A General Platform for Intelligent Agents», arXiv:1809.02627.

Vogels, Werner (2008). Eventually Consistent. ACM Queue.

Wang, Xintao; Xie, Liangbin; Dong, Chao; Shan, Ying (2021). Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. arXiv:2107.10833 [eess.IV].

Wei, Jason; Wang, Xuezhi; Schuurmans, Dale; Bosma, Maarten; Ichter, Brian; Xia, Fei; Chi, Ed; Le, Quoc; Zhou, Denny (2022). Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. Advances in Neural Information Processing Systems (NeurIPS).

Witmer, Bob G.; Singer, Michael J. (1998). Measuring Presence in Virtual Environments: A Presence Questionnaire. Presence: Teleoperators and Virtual Environments, 1998.

Yao, Shunyu; Chen, Howard; Yang, John; Narasimhan, Karthik (2022). WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. NeurIPS.

Yao, Shunyu; Zhao, Jeffrey; Yu, Dian; Du, Nan; Shafran, Izhak; Narasimhan, Karthik; Cao, Yuan (2023). ReAct: Synergizing Reasoning and Acting in Language Models. International Conference on Learning Representations (ICLR).

TypeSafe AI (2026). Jev: A System One Control Layer for Autonomous Agents. Architecture and Technical Specification.

OpenAI (2026). Introducing Dots: Persistent Digital Coworkers with Isolated Cloud Environments and Governed Control Planes. OpenAI DevDay 2026.