Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

TitleArtificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Publication TypeJournal Article
Year of Publication2020
AuthorsM.Górriz, Juan, Ramírez Javier, Ortíz Andrés, Martínez-Murcia Francisco J., Segovia Fermín, Suckling John, Leming Matthew, Zhang Yu-Dong, Álvarez-Sánchez José Ramón, Bologna Guido, Bonomini Paula, Casado Fernando E., Charte David, Charte Francisco, Contreras Ricardo, Infante Alfredo Cuesta, Duro Richard J., Caballero Antonio Fernández, Jover Eduardo Fernández, Vilda Pedro Gómez, Graña Manuel, Herrera F., Iglesias Roberto, Lekova Anna, de Lope Javier, Rubio Ezequiel López, Tomás Rafael Martínez, Molina-Cabello Miguel A., Montemayor Antonio S., Novais Paulo, Palacios-Alonso Daniel, Pantrigo Juan J., Payne Bryson R., López Félix de la Paz, Pinninghoff María Angélica, Rincón Mariano, Santos José, Thurnhofer-Hemsi Karl, Tsanas Athanasios, Varela Ramiro, and Ferrández Jose M.
KeywordsAI for social well-being, Alzheimer, Artificial intelligence (AI), Artificial neural networks (ANNs), Autism, Big Data, Computational neuroethology, Deep learning, Dyslexia, Emotion recognition, evolutionary computation, Glaucoma, Human–machine interaction, machine learning, Neuroscience, Ontologies, Parkinson, Reinforcement learning, Robotics, Virtual reality

Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in artificial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general.


TIN2017-85827-P; RTI2018-098913-B-I00; PSI2015-65848-R; PGC2018-098813-B-C31; PGC2018-098813-B-C32; RTI2018-101114-B-I; TIN2017-90135-R; RTI2018-098743-B-I00; RTI2018-094645-B-I00; FPU15/06512; FPU17/04154; FJCI-2017–33022; UMA18-FEDERJA-084; ED431C2017/12; ED431G/08; ED431C2018/29; Y2018/EMT-5062; ED431F2018/02; U01 AG024904; W81XWH-12-2-0012