Emotions and the Engineering of Adaptiveness in Complex Systems

Sánchez Escribano, María Guadalupe y Sanz Bravo, Ricardo (2014). Emotions and the Engineering of Adaptiveness in Complex Systems. "Procedia Computer Science", v. 28 (n. null); pp. 473-480. ISSN 1877-0509. https://doi.org/10.1016/j.procs.2014.03.058.


Título: Emotions and the Engineering of Adaptiveness in Complex Systems
  • Sánchez Escribano, María Guadalupe
  • Sanz Bravo, Ricardo
Tipo de Documento: Artículo
Título de Revista/Publicación: Procedia Computer Science
Fecha: Marzo 2014
Volumen: 28
Palabras Clave Informales: Model-Driven Engineering, Runtime Model, Cognitive System, Emotional Models, Context-Awarenes
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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A major challenge in the engineering of complex and critical systems is the management of change, both in the system and in its operational environment. Due to the growing of complexity in systems, new approaches on autonomy must be able to detect critical changes and avoid their progress towards undesirable states. We are searching for methods to build systems that can tune the adaptability protocols. New mechanisms that use system-wellness requirements to reduce the influence of the outer domain and transfer the control of uncertainly to the inner one. Under the view of cognitive systems, biological emotions suggests a strategy to configure value-based systems to use semantic self-representations of the state. A method inspired by emotion theories to causally connect to the inner domain of the system and its objectives of wellness, focusing on dynamically adapting the system to avoid the progress of critical states. This method shall endow the system with a transversal mechanism to monitor its inner processes, detecting critical states and managing its adaptivity in order to maintain the wellness goals. The paper describes the current vision produced by this work-in-progress.

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ID de Registro: 35493
Identificador DC: http://oa.upm.es/35493/
Identificador OAI: oai:oa.upm.es:35493
Identificador DOI: 10.1016/j.procs.2014.03.058
URL Oficial: http://www.sciencedirect.com/science/article/pii/S1877050914001215
Depositado por: Memoria Investigacion
Depositado el: 22 Jun 2015 15:15
Ultima Modificación: 16 Mar 2017 17:09
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