A Model of Emotion as Patterned Metacontrol

Sanz Bravo, Ricardo and Sanchez Escribano, Guadalupe (2011). A Model of Emotion as Patterned Metacontrol. In: "2nd Annual Meeting of the BICA Society", 05/11/2011 - 06/11/2011, Washington, EEUU. pp. 342-343.


Title: A Model of Emotion as Patterned Metacontrol
  • Sanz Bravo, Ricardo
  • Sanchez Escribano, Guadalupe
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2nd Annual Meeting of the BICA Society
Event Dates: 05/11/2011 - 06/11/2011
Event Location: Washington, EEUU
Title of Book: Biologically Inspired Cognitive Architectures 2011: Proceedings of the Second Annual Meeting of the BICA Society
Date: 2011
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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Adaptive systems use feedback as a key strategy to cope with uncertainty and change in their environments. The information fed back from the sensorimotor loop into the control architecture can be used to change different elements of the controller at four different levels: parameters of the control model, the control model itself, the functional organization of the agent and the functional components of the agent. The complexity of such a space of potential configurations is daunting. The only viable alternative for the agent ?in practical, economical, evolutionary terms? is the reduction of the dimensionality of the configuration space. This reduction is achieved both by functionalisation —or, to be more precise, by interface minimization— and by patterning, i.e. the selection among a predefined set of organisational configurations. This last analysis let us state the central problem of how autonomy emerges from the integration of the cognitive, emotional and autonomic systems in strict functional terms: autonomy is achieved by the closure of functional dependency. In this paper we will show a general model of how the emotional biological systems operate following this theoretical analysis and how this model is also of applicability to a wide spectrum of artificial systems.

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Item ID: 13487
DC Identifier: http://oa.upm.es/13487/
OAI Identifier: oai:oa.upm.es:13487
Deposited by: Memoria Investigacion
Deposited on: 22 Nov 2012 11:48
Last Modified: 21 Apr 2016 12:48
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