Abstract
Fuzzy Cognitive Maps (FCM) and other Dynamic Cognitive Maps (DCM) allow simulation of the evolution of complex qualitative dynamic systems through time. However, the DCM model is static by itself in the sense that its cognitive configuration, i.e., the concepts’ definitions, the relations among the concepts and the structure of the map, do not change with time. This paper introduces DCM meta-states, a simple but versatile Finite State Machine based mechanism that can be used to implement Evolving FCM and generic Evolving Dynamic Cognitive Maps (Ev-DCM).
Work supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) under reference UID/CEC/50021/2019, grant SFRH/BSAB/136312/2018 and project LISBOA-01-0145-FEDER-031474.
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Carvalho, J.P. (2019). On the Implementation of Evolving Dynamic Cognitive Maps. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_19
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