Capítulo VI: La IA en el universo educativo

La inteligencia artificial en el universo educativo 205

• Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.
• Ali, S., & Boukerche, A. (2020). Smart Transportation Systems: Artificial Intelligence for Smart and Sustainable Cities. CRC Press.
• Belanger, P.R., & Wiegand, D.A. (1988). Robotics and Artificial Intelligence: A Modern Approach to Intelligent Manufacturing. John Wiley & Sons.
• Bennett, M. J., & Hugen, D. L. (2016). Financial Analytics with R: Building a Laptop Laboratory for Data Science. Cambridge University Press.
• Bertino, E., Cavallaro, L., Xu, D., & Paci, F. (Eds.). (2020). Security and Privacy in the Age of Uncertainty. Springer.
• Bhat, C. R., & Rajulu, S. P. (2018). Transportation Analytics in the Era of Big Data: A Practical Guide to Data Mining, Machine Learning, and Their Applications for Transportation Planning. Elsevier.
• Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python. O’Reilly Media, Inc.
• Boddington, P. (2018). Ética y gobernanza de la inteligencia artificial. Ediciones Paidós.
• Boddington, P. (2020). El manual de ética de la inteligencia artificial. Ediciones Paidós.
• Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
• Braga, N.C. (2013). Robotics, Mechatronics, and Artificial Intelligence: Experimental Circuit Blocks for Designers. Elsevier.
• Broussard, M. (2019). Artificial Unintelligence: How Computers Misunderstand the World. The MIT Press.
• Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
• Buchanan, B. G. (1984). Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley.
• Buckland, M. (2005). Programming Game AI by Example. Wordware Publishing.
• Castelfranchi, C., El Fallah Seghrouchni, A., Tettamanzi, A., & Viganò, R. (Eds.). (2016). Privacy, Security and Trust within the Context of Pervasive Computing. Springer.
• Chan, E. P. (2013). Algorithmic Trading: Winning Strategies and Their Rationale. John Wiley & Sons.
• Chen, G., & Pham, T. T. (1998). Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. CRC Press.
• Chinellato, E., & Nicosia, V. (2020). Robotics and Cognitive Approaches to Spatial Mapping. Springer.
• Clancey, W. J. (1983). The Knowledge Level in Expert Systems. Artificial Intelligence, 20(1), 81-127.
• Corke, P. (2017). Robotics, Vision and Control: Fundamental Algorithms in MATLAB. Springer.
• Crevier, D. (1993). AI: The Tumultuous History of the Search for Artificial Intelligence. BasicBooks.
• Daugherty, P., & Wilson, H. J. (2018). Human + machine: Reimagining work in the age of AI. Harvard Business Review Press.
• Davenport, T. H. (2018). The AI advantage: How to put the artificial intelligence revolution to work. MIT Press.
• Davis, R. (1984). Expert Systems: Where Are We? And Where Do We Go from Here? In P. H. Winston (Ed.), Artificial Intelligence at MIT: Expanding Frontiers (pp. 269-293). MIT Press.
• Eiben, A. E., & Smith, J. E. (2015). Introduction to Evolutionary Computing. Springer.
• Esteva, A., & Kuprel, B. (2019). Artificial Intelligence in Healthcare. Academic Press.
• Feigenbaum, E. A. (1993). The Handbook of Artificial Intelligence. Elsevier.
• Ferster, B. (2014). Teaching Machines: Learning from the Intersection of Education and Technology. Johns Hopkins University Press.
• Fogel, L. J., Corne, D. W., & Katsiloulis, Y. V. (eds.) (1999). Handbook of Genetic Algorithms. CRC Press.
• Ford, M. (2015). Rise of the Robots: Technology and the Threat of a Jobless Future. Basic Books.
• Ford, M. (2018). Architects of Intelligence: The truth about AI from the people building it. Packt Publishing Ltd.
• Forsyth, D. A., & Ponce, J. (2011). Computer Vision: A Modern Approach (2nd ed.). Prentice Hall.
• Frey, C. B., & Osborne, M. A. (2013). The Future of Employment: How Susceptible are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254-280.
• Georgakopoulos, H. (2015). Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective. Palgrave Macmillan.
• Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley.
• Goyal, P., Pandey, S., & Jain, K. (2018). Deep learning for natural language processing: Creating neural networks with Python. Apress.
• Gunsalus, C. K., & Stevens, M. T. (2019). Artificial Intelligence and Cybersecurity: A Practical Guide for IT Professionals. Apress.
• Hartley, R., & Zisserman, A. (2003). Multiple View Geometry in Computer Vision (2nd ed.). Cambridge University Press.
• Hirsch, M., & Barchi, F. (2020). The Future of Healthcare: Human and Machine Partnerships for Better Outcomes. John Wiley & Sons.
• Indurkhya, N., & Damerau, F. J. (Eds.). (2010). Handbook of natural language processing. CRC Press.
• Jackson, P. (1986). Introduction to Expert Systems. Addison-Wesley.
• Jansen, S. (2018). Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies. Packt Publishing.
• Jansen, S. (2020). Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python. Packt Publishing.
• Jasanoff, S. (2016). The Ethics of Invention: Technology and the Human Future. W.W. Norton & Company.
• Jurafsky, D., & Martin, J. H. (2020). Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition. Pearson.
• Kaplan, J. (2015). Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence. Yale University Press.
• Khosrow-Pour, M. (Ed.). (2020). Artificial Intelligence in Transportation and Supply Chain Management: Theory and Applications. IGI Global.
• Klir, G. J., & Yuan, B. (1995). Fuzzy Sets, Uncertainty and Information. Prentice Hall.
• Kosko, B. (1994). Fuzzy Thinking: The New Science of Fuzzy Logic. Hyperion.
• Koza, J. R. (1992). Genetic Programming: On the Programming of CompuImplementando
• ters by Means of Natural Selection. MIT Press.
• Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Penguin Books.
• Larco, N., & Kelsey, K. (Eds.). (2017). Urban Mobility: Smart Solutions for Sustainable Cities. Routledge.
• Laurillard, D. (2017). AI in Education: Promises and Implications for Teaching and Learning. MIT Press.
• Lee, C.S.G., & Fu, K.S. (1987). Robotics: Control, Sensing, Vision, and Intelligence. McGraw-Hill.
• Lee, K.-F. (2018). AI superpowers: China, Silicon Valley, and the new world order. Houghton Mifflin Harcourt.
• Leonhard, G. (2019). The Future of Learning: Education in the Era of Partners in Code. Fast Future Publishing.
• Lin, P., Abney, K., & Jenkins, R. (2017). Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence. Oxford University Press.
• Lin, P., Abney, K., & Jenkins, R. (2018). La ética de la inteligencia artificial. Oxford University Press.
• Ma, Y., Soatto, S., Kosecka, J., & Sastry, S. (Eds.). (2008). An Invitation to 3-D Vision: From Images to Geometric Models (Vol. 26). Springer Science & Business Media.
• Manning, C. D., & Schütze, H. (1999). Foundations of statistical natural language processing. MIT Press.
• Millington, I. (2006). Artificial Intelligence for Games. Taylor & Francis Group.
• Mitchell, M. (1998). An Introduction to Genetic Algorithms. MIT Press.
• Mordeson, J. N., & Zhang, N. (2007). An Introduction to Fuzzy Logic Applications. Springer.
• Nkambou, R., Mizoguchi, R., & Bourdeau, J. (Eds.). (2019). Artificial Intelligence and Education. Springer.
• O’Neil, C. (2017). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.
• Parker, L.E. (2008). Intelligent Robotics and Autonomous Agents. Springer.
• Payton, T. M., & Claypoole, T. (2014). Privacy in the Age of Big Data: Recognizing Threats, Defending Your Rights, and Protecting Your Family. Rowman & Littlefield Publishers.
• Perallos, A., Bellavista, P., & Corradi, A. (Eds.). (2018). Intelligent Transport Systems: Technologies and Applications. Wiley.
• Pesce, F., & Olvera, A. J. (2019). Inteligencia artificial y ética: ¿hacia una sociedad algorítmica? Ediciones UC.
• Prince, S. J. D. (2012). Computer Vision: Models, Learning, and Inference. Cambridge University Press.
• Qu, X., Mahmassani, H. S., & Zhang, L. (Eds.). (2019). Transportation and Traffic Theory 2019: A Hallmark of Transportation and Traffic Science. Elsevier.
• Rabin, S. (2015). Game AI Pro 2: Collected Wisdom of Game AI Professionals. CRC Press.
• Rajkomar, A., & Dean, J. (2020). AI in Healthcare. O’Reilly Media, Inc.
• Rifkin, J. (1995). The End of Work: The Decline of the Global Labor Force and the Dawn of the Post-Market Era. TarcherPerigee.
• Ross, T. J. (2010). Fuzzy Logic with Engineering Applications. John Wiley & Sons.
• Schneider, S. (2018). El futuro de la humanidad: la ética de la inteligencia artificial. Ediciones Paidós.
• Shapiro, L. G., & Stockman, G. C. (2001). Computer Vision. Prentice-Hall.
• Shortliffe, E. H. (1976). Computer-Based Medical Consultations: MYCIN. Elsevier.
• Silver, D. (2020). The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age. Penguin Books.
• Implementando IA – Conviviendo con el futuro [ 251 ]
• Simon, D. (2013). Evolutionary Optimization Algorithms. John Wiley & Sons.
• Sosnovsky, S. (2021). Machine Learning and Education: Smart Algorithms for Learning in Schools and Universities. Springer.
• Stankovic, J., Mateas, M., & Wardrip-Fruin, N. (2018). The Game AI Book. MIT Press.
• Szeliski, R. (2010). Computer Vision: Algorithms and Applications. Springer.
• Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. Vintage.
• Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
• Trepte, S., & Reinecke, L. (Eds.). (2017). Privacy in a Digital, Networked World: Technologies, Implications and Solutions. Springer.
• Walsh, T. (2018). Our Robots, Ourselves: Robotics and the Myths of Autonomy. University of California Press.
• West, D. M. (2018). The future of work: Robots, AI, and automation. Brookings Institution Press.
• Yannakakis, G. N., & Togelius, J. (2018). Artificial Intelligence and Games. Springer.
• Yen, J., & Langari, R. (1999). Fuzzy Logic: Intelligence, Control, and Information. Pearson Education.
• Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs.