Abstract
This paper presents a proposal design of multi-agent complex system for the identification of the characteristics and the types of personality of university students as well as their relationship in the process of motivation for them. Diagnosis and identification of personality types are based on the analysis of knowledge base and the collected information of students with concrete actions that agents through their communication skills and interaction with the rules and standards defined receive, analyze, and determine the identification of outstanding personality type and the most important motivating factors according to the identified personality.
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References
Martínez, D.: El yo y la maquina: cerebro, mente e inteligencia artificial España: Ediciones palabra (2012)
Robbins, P., Stephen, J.A.T.: Comportamiento Organizacional. Pearson (2013)
Bayne, Rowan: The Myers-Briggs Type Indicator. Nelson Thornes, London, UK (1997)
Dekkers, R. (2015). Applied Systems Theory. Springer, UK. Recuperado de: https://books.google.com.mx/books?id=CavNDgAAQBAJ&printsec=frontcover&dq=Systems+theories&hl=es&sa=X&ved=0ahUKEwj4wtyav5reAhUK2aQKHTWyBt8Q6AEIPjAD#v=onepage&q=Systems%20theories&f=false
Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115–152 (1995)
Rosales, R., Gutiérrez, S., Torres, J.: La interdisciplina en las ciencias sociales Ixtapalapa. Anthropos, Mexico (2006)
Lara-Rosano, F.J., Gallardo, C.A., Almnza, M.S.: Teorías, métodos y modelos para la complejidad social: Un enfoque de sistemas complejos Adaptativos, Colofon (2018)
Saldarriga, A.: Sistemas de innovación como sistemas complejos. Medellin: Instituto Tecnológico Metropolitano. Recuperado de (2014). https://books.google.com.mx/books?id=Vfc-DwAAQBAJ&pg=PA73&dq=Sistemas+complejos+adaptativos&hl=es&sa=X&ved=0ahUKEwjVvcvf3JDeAhWSDuwKHSrMCsUQ6AEIMTAC#v=onepage&q=Sistemas%20complejos%20adaptativos&f=false
Li, X., Mao, W., Zeng, D., Wang, F.Y.: Agent-Based Social Simulation and Modeling in Social Computing. En Intelligence and security informatics (392). Springer, Taiwan. Recuperado de (2008). https://books.google.com.mx/books?id=Tj2SBQAAQBAJ&pg=PA77&lpg=PA77&dq=C.C.+Yang+et+al.+(Eds.):+ISI+2008+Workshops,+LNCS+5075,+pp.+77%E2%80%9382,+2008.+%C2%A9+Springer-Verlag+Berlin+Heidelberg+2008&source=bl&ots=-lUnMCl3V4&sig=GAM-UkE8funL-m4xW60uib5Qgmo&hl=es&sa=X&ved=2ahUKEwib9p38vZreAhUIXxoKHVerDEkQ6AEwAHoECAkQAQ#v=onepage&q&f=false
Ramírez, M.R., Moreno, H.B.R., Millán, N.C.O., (…), Núñez, S.O.V., Garza, A.A.: In: Chen, Y.-W. et al. (eds.) Big Data and Health “clinical records” Smart Innovation, Systems and Technologies, vol. 71, pp. 12–18. Springer International Publishing AG 2018 (2018)
Moreno, H., Velázquez, R.A.: La sociedad del conocimiento: Inclusión o exclusión. Recuperado de (2012). http://www.redalyc.org/articulo.oa?id=44024857006
Sycara, K.P., Roth, S.F., Sadeh, N., Fox, M.S.: In: Zweben, M., Fox, M.S. (eds.) Resource Allocation in Distributed Factory Scheduling. Intelligent Scheduling, pp. 29–40. Morgan Kaufman Publishers, San Francisco, CA. (http://www.cs.cmu.edu/afs/cs/user/katia/www/katia-home.html) (1991). Accessed 06 Feb 2018
Jiménez, J.: Un Modelo de Planificación Instruccional usando razonamiento Basado en Casos en Sistemas Multi-agente para entornos integrados de Sistemas Tutoriales Inteligentes y Ambientes Colaborativos de Aprendizaje. Tesis Doctoral. Universidad Nacional de Colombia (2006)
UNAL. Universidad Nacional de Colombia. Inteligencia Artificial Distribuida, Disponible en (2012). http://www.virtual.unal.edu.co/cursos/ingeniería/2001394/docs_curso/contenido.html. Consultado Abril de 2012
Zato, Carolina, De Luis, Ana, Bajo, Javier, De Paz, Juan F., Corchado, Juan M.: Dynamic model of distribution and organization of activities in multi-agent systems. Log. J. IGPL 20(3), 570–578 (2012)
Reyes, V,, Rivera, G.M.I.: Prediagnóstico de enfermedades neurológicas a través de un sistema multiagente Ciencias Computacionales
Jennings, N.R.: Commitments and conventions: the foundation of coordination in multi-agent systems. Knowl. Eng. Rev. 8(3), 223–250 (1993)
Cohen, P.R., Levesque, H.J.: Intention is choice with commitment. Artif. Intell. 42(2–3), 213–261 (1990)
Rosenschein, J., Zlotkin, G.: Rules of Encounter: Designing Conventions for Automated Negotiation among Computers. MIT Press, Cambridge MA (1994)
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Ramírez, M.R., Rosano, F.L., Cisneros, R.F.R., Rojas, E.M., Moreno, H.B.R., Guzmán, G.M. (2020). Multi-agent Complex System for Identification of Characteristics and Personality Types and Their Relationship in the Process of Motivation of Students. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019. Smart Innovation, Systems and Technologies, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-13-8679-4_12
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