Abstract
A powerful and useful approach for modeling knowledge and qualitative reasoning is the Cognitive Map. The background of Cognitive Maps is the research about learning environments carried out by Cognitive Psychology since the nineteenth century. Along the last thirty years, these underlying findings inspired the development of computational models to deal with causal phenomena. So, a Cognitive Map is a structure of concepts of a specific domain that are related through cause-effect relations with the aim to simulate behavior of dynamic systems. In spite of the short life of the causal Cognitive Maps, nowadays there are several branches of development that focus on qualitative, fuzzy and uncertain issues. With this platform wide spectra of applications have been developing in fields like game theory, information analysis and management sciences. Wherefore, with the purpose to promote the use of this kind of tool, in this work is surveyed three branches of Cognitive Maps; and it is outlined one application of the Cognitive Maps for the student modeling that shows a conceptual design of a project in progress.
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References
Park, K.S.: Fuzzy Cognitive Maps Considering Time Relationships. Int. J. of Man and Machine Studies 42, 157–168 (1995)
Tolman, E.C.: Cognitive Maps in Rats and Men. Psychological Review, 198 (July 1948)
Axelrod, R.: Structure of Decision the Cognitive Maps. Princeton University Press, Princeton (1976)
Kelly, G.A.: The Psychology of Personal Constructs. Norton (1955)
Nakumara, K., Iwai, S., Sawaragi, T.: Decision support using causation knowledge base. IEEE Tran. on Systems, Man and Cybernetics 765 (1982)
Chaib-draa, B.: Causal Maps: Theory, Implementation and Practical Applications in Multi-Agent Environments. IEEE Transactions on Knowledge and Data Engineering, 6 (2002)
Kosko, B.: Fuzzy Cognitive Maps. International Journal of Man-Machine Studies (1986)
Mohr, S.T.: The Use and Interpretation of Fuzzy Cognitive Maps, Rensselaer P.I. (2003)
Miao, Y., Liu, Z.: On Causal Inference in Fuzzy Cognitive Maps. IEEE Transactions on Fuzzy Systems 8(1) (January 2000)
Wellman, M.: Inference in Cognitive Maps. Mathematics and Computers in Simulation 36, 137–148 (1994)
Peña.: DFMA’2005, Collaborative Student Modeling by Cognitive Maps. In: Proceedings of the First International Conference on Distributed Frameworks for Multimedia Applications (IEEE), Besançon, France, February 6-9 (2005)
Peña, Sossa, H.: Negotiated Learning by Fuzzy Cognitive Maps. In: Proc. 4th IASTED Int. Conf. on Web-Based Education, Grindelwald, Switzerland, February 21-23 (2005)
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© 2005 Springer-Verlag Berlin Heidelberg
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Peña, A., Sossa, H., Gutiérrez, A. (2005). Knowledge and Reasoning Supported by Cognitive Maps. In: Gelbukh, A., de Albornoz, Á., Terashima-Marín, H. (eds) MICAI 2005: Advances in Artificial Intelligence. MICAI 2005. Lecture Notes in Computer Science(), vol 3789. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11579427_5
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DOI: https://doi.org/10.1007/11579427_5
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