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Título: | White Paper 11: Artificial intelligence, robotics and data science |
Otros títulos: | White Paper 11: Artificial intelligence, robotics & data science | Autor: | Degli Esposti, Sara CSIC ORCID CVN ; Sierra, Carles CSIC ORCID ; Manyà, Felip CSIC ORCID ; Colomé, Adrià CSIC ORCID ; Osman, Nardine CSIC ORCID ; López Castro, Daniel CSIC; Ramasco, José J. CSIC ORCID ; Lloret Iglesias, Lara CSIC ORCID; Alenyà, Guillem CSIC ORCID ; Villagrá, Jorge CSIC ORCID ; Castillo, M. Dolores del CSIC ORCID ; Schorlemmer, Marco CSIC ORCID ; Noriega, Pablo CSIC ORCID ; Ausín, Txetxu CSIC ORCID CVN ; Serrano-Gotarredona, Teresa CSIC ORCID ; Oyanguren, Arantza CSIC ORCID; Arroyo Guardeño, David CSIC ORCID CVN ; Brox, Piedad CSIC ORCID ; Marco de Lucas, Jesús Eugenio; Moreno-Arribas, M. Victoria CSIC ORCID | Fecha de publicación: | 2021 | Editor: | Consejo Superior de Investigaciones Científicas (España) | Citación: | White Paper 11: Artificial intelligence, robotics and data science (2021) | Serie: | CSIC Scientific Challenges : Towards 2030 11 |
Resumen: | SIC white paper on Artificial Intelligence, Robotics and Data Science sketches a preliminary roadmap for addressing current R&D challenges associated with automated and autonomous machines. More than 50 research challenges investigated all over Spain by more than 150 experts within CSIC are presented in eight chapters. Chapter One introduces key concepts and tackles the issue of the integration of knowledge (representation), reasoning and learning in the design of artificial entities. Chapter Two analyses challenges associated with the development of theories –and supporting technologies– for modelling the behaviour of autonomous agents. Specifically, it pays attention to the interplay between elements at micro level (individual autonomous agent interactions) with the macro world (the properties we seek in large and complex societies). While Chapter Three discusses the variety of data science applications currently used in all fields of science, paying particular attention to Machine Learning (ML) techniques, Chapter Four presents current development in various areas of robotics. Chapter Five explores the challenges associated with computational cognitive models. Chapter Six pays attention to the ethical, legal, economic and social challenges coming alongside the development of smart systems. Chapter Seven engages with the problem of the environmental sustainability of deploying intelligent systems at large scale. Finally, Chapter Eight deals with the complexity of ensuring the security, safety, resilience and privacy-protection of smart systems against cyber threats. | Descripción: | 198 p. : 17 cm | Versión del editor: | http://libros.csic.es/product_info.php?cPath=164&products_id=1493 | URI: | http://hdl.handle.net/10261/272543 | ISBN: | 978-84-00-10758-1 978-84-00-10759-8 |
Aparece en las colecciones: | (VICYT) Libros y partes de libros (IFISC) Libros y partes de libros (IRII) Libros y partes de libros (CAR) Libros y partes de libros (IMSE-CNM) Libros y partes de libros (IFIC) Libros y partes de libros (ITEFI) Libros y partes de libros (IIIA) Libros y partes de libros (CCHS-IPP) Libros y partes de libros (IFCA) Libros y partes de libros (CCHS-IFS) Libros y partes de libros |
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Artificial_intelligence_robotics_data_science.pdf | 1,76 MB | Adobe PDF | Visualizar/Abrir |
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