Emotions and the Engineering of Adaptiveness in Complex Systems

Sánchez Escribano, María Guadalupe and Sanz, R. (2014). Emotions and the Engineering of Adaptiveness in Complex Systems. In: "Conference on Systems Engineering Research (CSER 2014)", March 21-22, 2014, Redondo Beach, CA (USA). ISBN 1877-0509. pp. 473-480. https://doi.org/10.1016/j.procs.2014.03.058.

Description

Title: Emotions and the Engineering of Adaptiveness in Complex Systems
Author/s:
  • Sánchez Escribano, María Guadalupe
  • Sanz, R.
Item Type: Presentation at Congress or Conference (Article)
Event Title: Conference on Systems Engineering Research (CSER 2014)
Event Dates: March 21-22, 2014
Event Location: Redondo Beach, CA (USA)
Title of Book: Procedia Computer Science
Date: 2014
ISBN: 1877-0509
Volume: 28
Subjects:
Freetext Keywords: model-drive engineering, runtime model, cognitive system, emotional models, contest-awarenes
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 36737
DC Identifier: http://oa.upm.es/36737/
OAI Identifier: oai:oa.upm.es:36737
DOI: 10.1016/j.procs.2014.03.058
Official URL: http://www.sciencedirect.com/science/article/pii/S1877050914001215
Deposited by: Memoria Investigacion
Deposited on: 21 Apr 2016 14:48
Last Modified: 16 Mar 2017 17:16
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