Ontologies as Backbone of Cognitive Systems Engineering

Sanz Bravo, Ricardo; Bermejo Alonso, Julita; Morago, Juan y Hernández, Carlos (2017). Ontologies as Backbone of Cognitive Systems Engineering. En: "Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)", 18-22nd April 2017, Bath, Reino Unido. pp. 218-223.

Descripción

Título: Ontologies as Backbone of Cognitive Systems Engineering
Autor/es:
  • Sanz Bravo, Ricardo
  • Bermejo Alonso, Julita
  • Morago, Juan
  • Hernández, Carlos
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
Fechas del Evento: 18-22nd April 2017
Lugar del Evento: Bath, Reino Unido
Título del Libro: Proceedings of AISB Annual Convention 2017
Fecha: 2017
Materias:
Palabras Clave Informales: cognitive systems; trust; dependability; engineering processes; autonomy; life-cycle; ontology
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Cognitive systems are starting to be deployed as appliances across the technological landscape of modern societies. The increasing availability of high performance computing platforms has opened an opportunity for statistics-based cognitive systems that perform quite as humans in certain tasks that resisted the symbolic methods of classic artificial intelligence. Cognitive artefacts appear every day in the media, raising a wave of mild fear concerning artificial intelligence and its impact on society. These systems, performance notwithstanding, are quite brittle and their reduced dependability limips their potential for massive deployment in mission-critical applications -e.g. in autonomous driving or medical diagnosis. In this paper we explore the actual possibility of building cognitive systems using engineering-grade methods that can assure the satisfaction of strict requirements for their operation. The final conclusion will be that, besides the potential improvement provided by a rigorous engineering process, we are still in need of a solid theory -possibly the main outcome of cognitive science- that could sustain such endeavour. In this sense, we propose the use of formal ontologies as backbones of cognitive systems engineering processes and workflows.

Más información

ID de Registro: 50658
Identificador DC: http://oa.upm.es/50658/
Identificador OAI: oai:oa.upm.es:50658
URL Oficial: http://aisb2017.cs.bath.ac.uk/index.html
Depositado por: Memoria Investigacion
Depositado el: 23 Jul 2018 15:20
Ultima Modificación: 23 Jul 2018 15:20
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