Abstract
This paper proposes a hybrid expert system to minimize some of the complexity problems present in the artificial intelligence field such as the so-called bottleneck of expert systems, e.g., the knowledge elicitation process; the model choice for the knowledge representation to code human reasoning; the number of neurons in the hidden layer and the topology used in the connectionist approach, ; the difficulty to obtain the explanation on how the network arrived to a conclusion. To overcome these difficulties the cognitive computing was integrated to the developed system.
Currently at the Institut d'Informatique, FUNDP, Namur, Belgium: the work sponsored by CAPES, Brazil.
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Brasil, L.M., Mendes de Azevedo, F., Barreto, J.M., Noirhomme-Fraiture, M. (1998). Complexity and cognitive computing. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_771
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DOI: https://doi.org/10.1007/3-540-64582-9_771
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