A Model of Emotion as Patterned Metacontrol

Sanz Bravo, Ricardo; Sánchez Escribano, María Guadalupe y Herrera, Carlos (2013). A Model of Emotion as Patterned Metacontrol. "Biologically Inspired Cognitive Architectures", v. To app ;

Descripción

Título: A Model of Emotion as Patterned Metacontrol
Autor/es:
  • Sanz Bravo, Ricardo
  • Sánchez Escribano, María Guadalupe
  • Herrera, Carlos
Tipo de Documento: Artículo
Título de Revista/Publicación: Biologically Inspired Cognitive Architectures
Fecha: 2013
Volumen: To app
Materias:
Palabras Clave Informales: Cognitive architecture, Functional organisation, Emotion, Adaptive Systems, Autonomous Systems.
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Ninguna

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Resumen

Adaptive agents use feedback as a key strategy to cope with un- certainty and change in their environments. The information fed back from the sensorimotor loop into the control subsystem can be used to change four different elements of the controller: parameters associated to the control model, the control model itself, the functional organization of the agent and the functional realization of the agent. There are many change alternatives and hence the complexity of the agent’s space of potential configurations is daunting. The only viable alternative for space- and time-constrained agents —in practical, economical, evolutionary terms— is to achieve a reduction of the dimensionality of this configuration space. Emotions play a critical role in this reduction. The reduction is achieved by func- tionalization, interface minimization and by patterning, i.e. by selection among a predefined set of organizational configurations. This analysis lets us state how autonomy emerges from the integration of cognitive, emotional and autonomic systems in strict functional terms: autonomy is achieved by the closure of functional dependency. Emotion-based morphofunctional systems are able to exhibit complex adaptation patterns at a reduced cognitive cost. In this article we show a general model of how emotion supports functional adaptation and how the emotional biological systems operate following this theoretical model. We will also show how this model is also of applicability to the construction of a wide spectrum of artificial systems1.

Más información

ID de Registro: 14562
Identificador DC: http://oa.upm.es/14562/
Identificador OAI: oai:oa.upm.es:14562
Depositado por: Ricardo Sanz
Depositado el: 28 Feb 2013 09:25
Ultima Modificación: 16 Mar 2017 17:10
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