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Se tem comprovado que as emoções são um aspeto importante na inteligência humana e que desempenha um papel significativo no processo de tomada de decisões humano. As emoções não são só sentimentos, mas também processos de estabelecimento, manutenção ou interrupção da relação existente entre o organismo e o ambiente. No presente trabalho descrevem-se algunas características da psicologia social e do desenvolvimento, especialmente os conceitos relacionados com emoções e as teorias da Emoção e as ferramentas matemáticas aplicadas na Psicologia (i.e., Sistemas dinámicos y Lógica difusa). Após, se apresentam e se discutem cinco modelos que inferem a emoção a partir de um evento, no espaço Arousal-Valence (A-V), encontrando que a lógica difusa pode usar-se para medir os estados emocionais humanos.

Susana Mejía Mejía, Universidad EAFIT

Grupo de Investigación en Modelamiento Matemático

Olga Lucía Quintero Montoya, Universidad EAFIT

Departamento de Ciencias Básicas

Maestría en Matemática Aplicada

Jaime Castro Martínez, Politécnico Grancolombiano

Director Fomento a la Investigación

Departamento de Investigación, Desarrollo e Innovación

Mejía Mejía, S., Quintero Montoya, O. L., & Castro Martínez, J. (2016). Análise Dinâmica das Emoções através da Inteligência Artificial. Avances En Psicología Latinoamericana , 34(2), 205–232. https://doi.org/10.12804/apl34.2.2016.02

Babuska, R. (1998). Fuzzy Modelling for Control. Massachusetts: Kluwer Academic Publishers.

Beer, R.D. (2000). Dynamical approaches to cognitive sciences. Trends in Cognitive Sciences, 4, 91-99.

Bezdek, J.C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum Press.

Bonissone, P. (2002). Adaptive Neural Fuzzy Inference Systems (ANFIS): Analysis and applications [Slides]. Class Notes. New York.

Campos, J., Campos, R., & Caplovitz, K. (1989). Emergent themes in the study of emotion development and emotion regulation. Developmental Psychology, 25 (3), 394-402.

Castro, J. (2011). Sistemas dinámicos en la interacción emocional madre-hijo: primera fase. Panorama. 9. 129-138.

Castro, J., Sierra, H., & Flórez, R. (2012). Una revisión de las relaciones entre los sistemas dinámicos y la psicología del desarrollo. Suma Psicologica, 19 (2), 109-130.

Chiu, S. (1994). Fuzzy model identification based on cluster. Journal of Intelligent and Fuzzy Systems, 2 (3), 267-278.

Correa, G.J. (2004), Aproximaciones Metodológicas para la Toma de Decisiones Apoyadas en Modelos Difusos (Magister Dissertation). Universidad Nacional, Sede Medellín. Medellín, Colombia.

Ekman, P.. Levenson, R.W.. & Friesen, W.V. (1983). Autonomic nervous system activity distinguish between emotions. Science, 221, 1208-1210.

Ekman, P. (1993). Facial expression and emotion. American Psychologist, 48, 384-392.

El-Nasr, M.S., Yen, J., & Loerger, T.R. (2000). FLAME: Fuzzy Logic Adaptive Model of Emotions. Autonomous Agents and Multiagents Systems, 3, 219-257.

Fischer, K. W., & Bidell, T.R. (2006). Dynamic development of action, thought and emotion. In W. Damon, &R.M. Lerner(eds.), Theoretical Models of Human Development: Handbook of Child Psychology. 6 ed (pp. 313-399). New York: Wiley.

Frijda, N.H (1986). The Emotions. New York: Cambridge University Press.

García, M., Talavera, J.A, & González, A. (1997). Teoría de sistemas dinámicos no lineales y trastornos mentales. Revista Electronica de Psiquiatría. 1, 1.

Jang, J.S.R. (1993). ANFIS: Adaptive Network Based Fuzzy Inference System. IEEE Trans. Systems, Man and Cybernetics, 23, 665-685.

Lang, P.J. (1995). The emotion probe. American Psychologist, 50 (5), 372-385.

Lewis, M.D. (2000). Emotion, Development and Self-organization: Dynamic System Approaches to Emotional Development. New York: Cambridge University Press.

Luce, D. (1997). Several unresolved conceptual problems in mathematical psychology. Journal of Mathematical Psychology, 41, 79-87

Mamdani, E. (1977). Application of fuzzy logic to approximate reasoning using linguistic systems. Fuzzy Sets and Systems, 26, 1182-1191.

Mandryk, R.L., & Atkins, M.S (2007). A Fuzzy physiological approach for continuously modelling emotion during interaction with play technologies. International Journal of Human-Computer Studies, 65, 329-347.

Ortony, A., Clore, G., & Collins, A. (1988). The Cognitive Structure of Emotions. New York: Cambridge University Press.

Pedrycz, W. (1984). An identification algorithm in fuzzy relational systems. Fuzzy Sets and Systems, 13, 153-167.

Peter, C., & Herbon, A. (2006). Emotion representation and physiology assignments in digital systems. Interacting with Computers, 18, 139-170.

Plutchik, R. (1980). Emotion: A Psychoevolutionary Synthesis. New York: Harper Collins.

Puche, R. (2009). ¿Es la Mente No Lineal?. Cali: Universidad del Valle.

Rairán, J.D. (2010). Control basado en emociones: una revisión. Avances en Sistemas e Informática, 7 (2), 27-36.

Redorta, J. Obiols, M. Bisquerra, R. (2006). Emoción y Conflicto: Aprenda a Manejar las Emociones. Barcelona: Paidós.

Roseman, I.J., Jose, P.E., & Spindel, M.S. (1990). Appraisal of emotion-eliciting events: testing a theory of discrete emotions. Journal of Personality and Social Psychology, 59 (5), 899-915.

Ross, R.T (1938). A statistic for circular scales. Journal of Educational Psychology, 29, 384-389.

Russell, J.A (1979). Affective space is bipolar. Journal of Personality and Social Psychology, 37 (3), 345-356.

Russell, J.A (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161-1178.

Russell, J.A., & Feldman-Barret, L. (1999). Core affect, prototypical emotional episodes and other things called emotion: dissecting the elephant. Journal of Personality and Social Psychology, 76 (5), 805-819.

Russell, J.A., Weiss, A., & Mendelsohn, G. (1989). Affect grid: a single item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57 (3), 493-502.

Ryle, G. (1949). The Concept of Mind. Harmondsworth: Penguin Books.

Schlosberg, H. (1952). The description of facial expressions in terms of two dimensions. Journal of Experimental Psychology, 44, 229-237.

Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modelling and control. IEEE Trans. Systems, Man and Cybernetics, 15 (1), 116-132.

Vallacher, R., & Nowak, A. (1993). Dynamical Systems in Social Psychology. San Diego: Academic Press.

Van Geert, P. (1994). Dynamic Systems of Development: Change Between Complexity and Chaos. London: Harvester Wheatsheaf.

Van Geert, P., & Steenbeck, H. (2005). Explaining after by before: Basic aspects of a dynamic systems approach to the study of development. Developmental Review, 25, 408-442.

Velasco, J.M. (1999). Aportaciones desde la teoría de los sistemas complejos y la neurobiología en apoyo de un modelo psicodinámico. Revista Electrónica de Psiquiatría. 3,1.

Yanaru, T. (1997). An emotion processing system based on fuzzy inference and subjective observations. Information Sciences, 101, 217-247.

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