DOI:
https://doi.org/10.14483/22484728.3566Publicado:
2011-12-16Número:
Vol. 5 Núm. 2 (2011)Sección:
Visión InvestigadoraDefinición de estados emocionales en sistemas dinámicos
Palabras clave:
Control de sistemas, emociones, sistemas no lineales, proceso de toma de decisiones. (en).Descargas
Resumen (en)
Este trabajo presenta una forma de lograr sistemas adaptables y autónomos,con el propósito de emular inteligencia en máquinas, de maneraque estas puedan verse como entidades que tracen sus propiosplanes y los sigan. Sin embargo, el enfoque del artículo no es mostrarla construcción de humanoides, sino que es presentar mejoras en elcontrol de cada actuador en una máquina, esto como primer pasopara tener dispositivos inteligentes. El trabajo de cada algoritmo decontrol es el tomar decisiones para fi jar la dinámica del sistema quedirige en un valor llamado referencia. En este sentido, el autor asociadescubrimientos recientes en neurociencia y psicología acerca de laimportancia de las emociones en el proceso de toma de decisionescon el trabajo de los controladores. Como resultado, se defi ne y pruebaun grupo de emociones básicas que deberían tener los controladores.
Referencias
R. Canham; A. H. Jackson; A. Tyrrell, “Robot error detection using an artificial immune system, in Evolvable Hardware, Proceedings”. NASA/DoD Conference, 199 – 207, July 2003.
D. N. Davis; S.J. Lewis, “Computational Models of Emotion for Autonomy and Reasoning”, in Informatica, Special Edition on Perception and Emotion Based Reasoning, 27(2), 159-165, June 2003.
A. S. Gadre; D. J.Stilwell, “Underwater Navigation In the Presence of Unknown Currents Based On Range Measurements From a Single Location”, American Control Conference, 656-661. 2005.
J. Jiao; W. Chen; K. Leung; S. Li; J. Wang; W. Cheung; M.C. Lin, “Intelligent Variable Structure Control for Automated Guided Vehicle”, in Evolutionary Computation, CEC 2008. (IEEE World Congress on Computational Intelligence), 3968 – 3973, 2008.
A. Damacio, “Descartes’ error: Emotion, Reason, and Human Brain”, Ed. Penguin Books, USA, 1994.
N. Fragopanagos; J. Taylor, “Modelling the interaction of attention and emotion”, in Neurocomputing, 69, 1977–1983, 2006.
J. L. Armony; D. Servan; J. D. Cohen; and J. E. LeDoux, “Computational modeling of emotion: explorations through the anatomy and physiology of fear conditioning”, in Trends in Cognitive Sciences, Vol. 1, No. 1, 28-34, 1997.
R. Marinier; J. Laird, “Towards a Comprehensive Computational Model of Emotions and Feelings”, in 6th International Conference on Cognitive Modeling, 1-6, 2004.
F. Michaud, “EMIB — Computational Architecture Based on Emotion and Motivation for Intentional Selection and Configuration of Behaviour-Producing Modules”, in Cognitive Science Quarterly, Cognitive Science Quarterly, Special Issue on Desires, Goals, Intentions, and Values: Computational Architectures, 1-20, 2002.
K. Gurney; T. J. Prescott; P. Redgrave, “A computational model of action selection” in the basal ganglia. II. Analysis and simulation of bahaviour, in Biological Cybernetics, 84, 411-423, 2001.
R. Manzotti; G. Metta; G. Sandini, “The Role of Emotions in Sensori-Motor Learning”, in 3rd International Symposia on Intelligent Automation and Soft Computing, 1-8, June 1999.
A. Grecucci; R. P. Cooper; R. I. Rumiati, “Computational model of action resonance and its modulation by emotional stimulation”, in Cognitive Systems Research, 8, 3, 143-160, 2007.
K. Miyazaki; N. Araki; E. Mogi; T. Kobayashi; Y. Shigematsu; M. Ichikawa; G. Matsumoto, “Brain Learning Control Representation in Nucleus Accumbens”, in Second International Conference on Knowledge-Based Intelligent Electronic Systems, 395-401, April 1998.
A. Zhdanov; A. Vinokurov, “Emotions Simulation in Methodology of Autonomous Adaptive Control”, in Proceedings, International Symposium on Intelligent Control/lntelligent Systems and Semiotics IEEE, Cambridge, MA, Sep, pp. 15–17, 73-78, September 1999.
J. Morén; C. A. Balkenius, “Computational Model of Emotional Learning in the Amygdala”, in The MIT Press, Proceedings of the 6th International Conference on the Simulation of Adaptive Behavior, 1-9, 2000.
L. Cañamero, “Designing Emotions for Activity Selection in Autonomous Agents”, in Emotions in Humans and Artifacts, Cambridge, MA: The MIT Press, 115–148, 2003.
M. Scheutz, “Useful Roles of Emotions in Artificial Agents: A Case Study from Artificial Life”, in Proceedings of AAAI 2004, AAAI Press, 31–40, 2004.
R. Marinier; J. Laird, “Computational Modeling of Mood and Feeling from Emotion”, in CogSci, 461–466, 2007.
D. Sander; D. Grandjean; K. A. Scherer, “Systems approach to appraisal mechanisms in emotion”, in Neural Networks, Science Direct, 18, 317–352, 2005.
J. Russell; F. Barrett; “Core Affect, Prototypical Emotional Episodes, and Other Things Called Emotion: Dissecting the Elephant”, in Journal of Personality and Social Psychology 76, 5, 805–819, 1999.
J. Posner; J. Russell; B. Peterson, “The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology”, in Development and Psychopathology, 17, 715–734, 2005.
P. Fagerberg; A. Ståhl; K. Höök, “eMoto: emotionally engaging interaction”, in Personal and Ubiquitous Computing, 8, 377–381, 2004.
C. Peter; A. Herbon, “Emotion representation and physiology assignments in digital systems”, in Interacting with Computers, 18, 139–170, 2006.
S. Sosnowski; K. Kühnlenz; M.Buss, “EDDIE - An Emotion-Display with Dynamic Intuitive Expressions”, in The 15th IEEE International Symposium on Robot and Human Interactive Communication, 569–574, September 2006.
X. Gai; S. Liu; N. Zhang, “Research of a new type intelligent controller and its application”, in Intelligent Control and Automation, 2008. WCICA 2008, 7th World Congress, 760 – 764, June 2008.
A. Marshak; D. Johnson; J.A. Johnson, “Bessel Rational filter”, in Circuits and Systems, IEEE Transactions, 21, 6, 97 – 799, November 1974.
Y. Chen; H. Qi; X. Liu, “Mas-Based Pursuit-Evasion Algorithm Under Unknown Environment”, in Machine Learning and Cybernetics, Proceedings of 2005 International Conference, 1, 265 – 269, August 2005.
G. Nitschke, “Co-evolution of cooperation in a pursuit evasion game”, in Intelligent Robots and Systems, IEEE/RSJ International Conference, 2, 2037 – 2042, October 2003.
N. Karnad; V. Isler, “Bearing-only pursuit”, in Robotics and Automation, ICRA 2008. IEEE International Conference, 2665 – 2670, May 2008.
B. F. Gore; P. Jarvis, “ Modeling the complexities of human performance”, in Systems, Man and Cybernetics, 2005 IEEE International Conference, 2, 1604 – 1609, October 2005.
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